diff --git a/Doc/rst/Installation.rst b/Doc/rst/Installation.rst
index b251858..0e6a75d 100644
--- a/Doc/rst/Installation.rst
+++ b/Doc/rst/Installation.rst
@@ -1,17 +1,17 @@
Installation
**********************
pNbody is curently only supported by linux.
.. toctree::
:maxdepth: 2
Prerequiste
Installing_from_tarball
+ Setting_up_your_environment
Test_the_installation
Default_configurations
Default_parameters
Examples
-
diff --git a/Doc/rst/Movies.rst b/Doc/rst/Movies.rst
index d285421..0cb8f6e 100644
--- a/Doc/rst/Movies.rst
+++ b/Doc/rst/Movies.rst
@@ -1,197 +1,457 @@
Movies
**********************
MilkyWay Andromeda collision
============================
-
- .. image:: ../movies/mwa1+2.jpg
- :width: 800 px
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/Milkyway-Andromeda.mp4
-
.. raw:: html
-
-
+Download video : `here `_
Evolution of plasma bubbles in a cluster of galaxy
==================================================
+.. raw:: html
+
+
+
+
+Download video : `here `_
- .. image:: ../movies/film26_AmasPerseus.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film26_AmasPerseus.mp4
- :width: 800 px
Dwarf Spheroidal Galaxy
==================================================
+
+
+
+
+
+
+
Evolution of an isolated dwarf spheroidal galaxy
- .. image:: ../movies/533.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/533.mp4
+
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
+
+
Tidal stripping of a dwarf spheroidal galaxy
- .. image:: ../movies/dSphTS-tiret.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/dSphTS-tiret.mp4
+
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
+
+Tidal stripping of a Sextan like dSph
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
+
Warping of a self-gravitating slab
==================================================
- .. image:: ../movies/film19_slab.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film19_slab.mp4
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
Warping of a rotating disk
==================================================
Assymetric warp
- .. image:: ../movies/01.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/01.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
U-shape warp
- .. image:: ../movies/02.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/02.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
S-shape warp
- .. image:: ../movies/08.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/08.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
Edge-on view of an S-shape warp
- .. image:: ../movies/film24_warp.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film24_warp.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
Interaction of galaxies
==================================================
+
Collision of two spiral galaxies I
- .. image:: ../movies/film_003big_11.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film_003big_11.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
Collision of two spiral galaxies II
- .. image:: ../movies/film32_gf1610q4.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film32_gf1610q4.mp4
- :width: 800 px
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
Formation of tidal dwarf galaxies
- .. image:: ../movies/film23_tdwarf.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film23_tdwarf.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
Formation of a dwarf elliptical galaxy I
- .. image:: ../movies/cE028_f1610q4.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/cE028_f1610q4.mp4
- :width: 800 px
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
Formation of a dwarf elliptical galaxy II
- .. image:: ../movies/cE031_f1610q4.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/cE031_f1610q4.mp4
- :width: 800 px
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
Formation of a dwarf elliptical galaxy III
- .. image:: ../movies/cE026xy.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/cE026xy.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
Formation of a dwarf elliptical galaxy IV
- .. image:: ../movies/cE028xy.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/cE028xy.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
Interaction of the Milkyway galaxy with Andromeda I
- .. image:: ../movies/mwac000-2.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/mwac000-2.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
Interaction of the Milkyway galaxy with Andromeda II
- .. image:: ../movies/mwac022-2.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/mwac022-2.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
+
+
Isolated galaxies with spirals and bars
==================================================
+
+
+Model of NGC 6946
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
+
+
Isolated spiral galaxy
- .. image:: ../movies/mwa13.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/mwa13.mp4
-Galaxy with no dark disk
- .. image:: ../movies/gSbq3+001-104smooth-100.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/gSbq3+001-104smooth-100.mp4
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
+Classical Galaxy with no dark disk
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
Galaxy with a dark disk I
- .. image:: ../movies/gSbq3+003-103smooth-100.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/gSbq3+003-103smooth-100.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
Galaxy with a dark disk II
- .. image:: ../movies/gSbq3+005-103smooth-100.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/gSbq3+005-103smooth-100.mp4
-Model of ngc 6946
- .. image:: ../movies/n6946.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/n6946.mp4
- :width: 800 px
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
+Isolated galaxy including its chemical evolution
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
+
+
Dwarf Irregular
==================================================
+
Gas and stars projection
- .. image:: ../movies/dIrr000-1569-64-mgas-mstars-x264.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/dIrr000-1569-64-mgas-mstars-x264.mp4
- :width: 800 px
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
Gas temperature and metallicity
- .. image:: ../movies/dIrr000-1569-64-TFeFe-x264.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/dIrr000-1569-64-TFeFe-x264.mp4
- :width: 800 px
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
Cosmological Simulations
==================================================
- .. image:: ../movies/film01d_gas_gf1610q4.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film01d_gas_gf1610q4.mp4
- :width: 800 px
- .. image:: ../movies/film02d_gas_gf1610q4.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film02d_gas_gf1610q4.mp4
- :width: 800 px
- .. image:: ../movies/film03d_gas_gf1610q4.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film03d_gas_gf1610q4.mp4
- :width: 800 px
- .. image:: ../movies/film04d_gas_gf1610q4.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film04d_gas_gf1610q4.mp4
- :width: 800 px
- .. image:: ../movies/film06d_gas_gf1610q4.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film06d_gas_gf1610q4.mp4
- :width: 800 px
+2Mpc cosmological box
+---------------------
+
+Global evolution
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
+Formation of dSph seen in physical coordinates
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
- .. image:: ../movies/film07d_gas_gf1610q4.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film07d_gas_gf1610q4.mp4
- :width: 800 px
- .. image:: ../movies/film08d_gas_gf1610q4.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film08d_gas_gf1610q4.mp4
- :width: 800 px
- .. image:: ../movies/film09d_gas_gf1610q4.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/film09d_gas_gf1610q4.mp4
- :width: 800 px
+60Mpc cosmological box
+----------------------
+
+
+
+
+
+
+Cosmological simulation : global evolution
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
+Cosmological simulation : flight through
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+Cosmological simulation : cluster formation
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+Cosmological simulation : cluster formation (zoom)
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+Cosmological simulation : disk formation 1
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+Cosmological simulation : disk formation 1 (zoom)
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+Cosmological simulation : disk formation 2
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+Cosmological simulation : disk formation 2 (zoom)
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
+
+
Simulation of stars
==================================================
flattening of a rotating star
- .. image:: ../movies/Star04_slice_c.jpg
- :target: http://obswww.unige.ch/~revaz/movies/2DMovies/Star04_slice_c.mp4
+
+ .. raw:: html
+
+
+
+
+ Download video : `here `_
diff --git a/config/formats/gadget.py b/config/formats/gadget.py
index 4d5db54..9a67935 100644
--- a/config/formats/gadget.py
+++ b/config/formats/gadget.py
@@ -1,1388 +1,1448 @@
####################################################################################################################################
#
# GADGET CLASS
#
####################################################################################################################################
class Nbody_gadget(NbodyDefault):
def __init__(self,p_name=None,pos=None,vel=None,mass=None,num=None,tpe=None,ftype=None,status='old',byteorder=sys.byteorder,pio='no',local=False,log=None,unitsfile=None):
NbodyDefault.__init__(self,p_name=p_name,pos=pos,vel=vel,mass=mass,num=num,tpe=tpe,ftype=ftype,status=status,byteorder=byteorder,pio=pio,local=local,log=log,unitsfile=unitsfile)
def InitSpec(self):
self.initComovingIntegration()
def get_read_fcts(self):
return [self.read_particles]
def get_write_fcts(self):
return [self.write_particles]
def get_mxntpe(self):
return 6
def get_default_spec_vars(self):
'''
return specific variables default values for the class
'''
return {'massarr' :array([0,0,self.nbody,0,0,0]),
'atime' :0.,
'redshift' :0.,
'flag_sfr' :0,
'flag_feedback' :0,
'nall' :array([0,0,self.nbody,0,0,0]),
'flag_cooling' :0,
'num_files' :1,
'boxsize' :0.,
'omega0' :0.,
'omegalambda' :0.,
'hubbleparam' :0.,
'flag_age' :0.,
'hubbleparam' :0.,
'flag_metals' :0.,
'nallhw' :array([0,0,0,0,0,0]),
'flag_entr_ic' :0,
'flag_chimie_extraheader':0,
'critical_energy_spec' :0.,
'empty' :48*'',
'comovingintegration' :None
}
def get_massarr_and_nzero(self):
"""
return massarr and nzero
!!! when used in //, if only a proc has a star particle,
!!! nzero is set to 1 for all cpu, while massarr has a length of zero !!!
"""
if self.has_var('massarr') and self.has_var('nzero'):
if self.massarr !=None and self.nzero!=None:
if mpi.mpi_IsMaster():
print "warning : get_massarr_and_nzero : here we use massarr and nzero",self.massarr,self.nzero
return self.massarr,self.nzero
massarr = zeros(len(self.npart),float)
nzero = 0
# for each particle type, see if masses are equal
for i in range(len(self.npart)):
first_elt = sum((arange(len(self.npart)) < i) * self.npart)
last_elt = first_elt + self.npart[i]
if first_elt!=last_elt:
c = (self.mass[first_elt]==self.mass[first_elt:last_elt]).astype(int)
if sum(c)==len(c):
massarr[i] = self.mass[first_elt]
else:
nzero = nzero+len(c)
return massarr.tolist(),nzero
def initComovingIntegration(self):
"""
set true if the file has been runned using
the comoving integration scheme
"""
# do nothing, if the value is already set
if self.comovingintegration!=None:
return
flag = True
# this is not very good, however, there is not other choice...
if self.omega0==0 and self.omegalambda==0:
flag = False
self.comovingintegration = flag
#print "init : ComovingIntegration=",self.comovingintegration
def isComovingIntegrationOn(self):
"""
return true if the file has been runned using
the comoving integration scheme
"""
return self.comovingintegration
def setComovingIntegrationOn(self):
self.comovingintegration = True
def setComovingIntegrationOff(self):
self.comovingintegration = False
def ComovingIntegrationInfo(self):
if self.isComovingIntegrationOn():
print "ComovingIntegration"
print " on (a=%5.3f h=%5.3f)"%(self.atime,self.hubbleparam)
else:
print "ComovingIntegration"
print " off"
def read_particles(self,f):
'''
read gadget file
'''
##########################################
# read the header and send it to each proc
##########################################
tpl = (24,48,float,float,int32,int32,24,int32,int32,float,float,float,float,int32,int32,24,int32,int32,float,48)
header = io.ReadBlock(f,tpl,byteorder=self.byteorder,pio=self.pio)
npart,massarr,atime,redshift,flag_sfr,flag_feedback,nall,flag_cooling,num_files,boxsize,omega0,omegalambda,hubbleparam,flag_age,flag_metals,nallhw,flag_entr_ic,flag_chimie_extraheader,critical_energy_spec,empty = header
if fabs(flag_chimie_extraheader)>1: # if the header is empty, it may be indetermined
flag_chimie_extraheader=0
npart = fromstring(npart,int32)
massarr = fromstring(massarr,float)
nall = fromstring(nall,int32)
nallhw = fromstring(nallhw,int32)
if sys.byteorder != self.byteorder:
npart.byteswap(True)
massarr.byteswap(True)
nall.byteswap(True)
nallhw.byteswap(True)
if flag_metals: # gas metal properties
NELEMENTS = flag_metals
self.NELEMENTS = NELEMENTS
else:
NELEMENTS = 0
self.NELEMENTS = NELEMENTS
##########################################
# computes nzero
##########################################
# count number of particles that have non constant masses and then
# have masses storded further
if self.pio == 'no':
npart_tot = npart
npart_all = libutil.get_npart_all(npart,mpi.mpi_NTask())
npart = npart_all[mpi.mpi_ThisTask()] # local
npart_read = npart_tot
nbody_read = sum(npart_read)
npart_m_read = npart_tot * (massarr==0)
ngas = npart[0]
ngas_read = npart_tot[0]
nstars = npart[1]
nstars_read = npart_tot[1]
# compute nzero
nzero=0
mass = array([])
for i in range(len(npart_tot)):
if massarr[i] == 0:
nzero = nzero+npart_tot[i]
else:
mass = concatenate((mass,ones(npart[i])*massarr[i]))
else:
npart_tot = mpi.mpi_allreduce(npart)
npart_all = None # each proc read for himself
npart = npart # local
npart_read = None # each proc read for himself
nbody_read = sum(npart)
npart_m_read = None # each proc read for himself
ngas = npart[0]
ngas_read = ngas
nstars = npart[1]
nstars_read = nstars
# compute nzero
nzero=0
mass = array([])
for i in range(len(npart)):
if massarr[i] == 0:
nzero = nzero+npart[i]
else:
mass = concatenate((mass,ones(npart[i])*massarr[i]))
nbody = sum(npart)
nbody_tot = sum(npart_tot)
if npart_m_read !=None:
if sum(npart_m_read) != nzero:
raise "sum(npart_m) (%d) != nzero (%d)"%(sum(npart_m_read),nzero),npart_m_read
##########################################
# optionnally read extra header
##########################################
if flag_chimie_extraheader==1:
if mpi.mpi_IsMaster(): print "reading chimie extra-header..."
tpl = (int32, int(NELEMENTS)*4, 256-4-int(NELEMENTS)*4)
nelts,ChimieSolarMassAbundances,labels = io.ReadBlock(f,tpl,byteorder=self.byteorder,pio=self.pio)
nelts = int(nelts)
self.ChimieNelements = nelts
ChimieElements = string.split(labels,',')[:nelts]
self.ChimieElements = ChimieElements
ChimieSolarMassAbundances = fromstring(ChimieSolarMassAbundances,float32)
self.ChimieSolarMassAbundances = {}
for i,elt in enumerate(self.ChimieElements):
self.ChimieSolarMassAbundances[elt] = ChimieSolarMassAbundances[i]
else:
self.ChimieNelements = int(NELEMENTS)
self.ChimieElements = ['Fe','Mg','O','Metals']
self.ChimieSolarMassAbundances = {}
self.ChimieSolarMassAbundances['Fe'] = 0.001771
self.ChimieSolarMassAbundances['Mg'] = 0.00091245
self.ChimieSolarMassAbundances['O'] = 0.0108169
self.ChimieSolarMassAbundances['Metals'] = 0.02
##########################################
# read and send particles attribute
##########################################
if mpi.mpi_IsMaster(): print "reading pos..."
pos = io.ReadDataBlock(f,float32,shape=(nbody_read,3),byteorder=self.byteorder,pio=self.pio,npart=npart_read)
if mpi.mpi_IsMaster(): print "reading vel..."
vel = io.ReadDataBlock(f,float32,shape=(nbody_read,3),byteorder=self.byteorder,pio=self.pio,npart=npart_read)
if mpi.mpi_IsMaster(): print "reading num..."
num = io.ReadDataBlock(f,int32 ,shape=(nbody_read,) ,byteorder=self.byteorder,pio=self.pio,npart=npart_read)
##########################################
# read mass if needed
##########################################
if nzero != 0:
if mpi.mpi_IsMaster(): print "reading mass..."
massnzero = io.ReadDataBlock(f,float32,shape=(nzero,),byteorder=self.byteorder,pio=self.pio,npart=npart_m_read)
#mass = concatenate((mass,massnzero))
#if nzero==nbody: # this is maybe needed when pio='yes' Tue Feb 1 21:56:48 CET 2011
if nzero==nbody_tot:
mass = massnzero
else:
mass = array([])
i1 = 0
for i in range(len(npart)):
if npart[i]!=0: # particles belong to the class
if massarr[i] != 0:
mass = concatenate((mass,ones(npart[i])*massarr[i]))
else:
i2 = i1+npart[i]
mass = concatenate((mass,massnzero[i1:i2]))
i1 = i2
if i2!=len(massnzero):
raise "i2=",i2,"""!=len(massnzero)"""
if len(mass)!=nbody_tot:
raise "len(mass)=",len(mass),"!=nbody_tot"
'''
if massarr[i] == 0:
if npart[i]!=0:
if len(massnzero)!=npart[i]:
raise "this case is not taken into account, sorry !"
mass = concatenate((mass,massnzero))
else:
mass = concatenate((mass,ones(npart[i])*massarr[i]))
'''
# extentions
u = None
rho = None
rsp = None
opt1= None
opt2= None
erd = None
dte = None
pot = None
+ acc = None
tstar = None
minit = None
idp = None
metals = None
- if not io.end_of_file(f,pio=self.pio,MPI=MPI):
+
+ if not io.end_of_file(f,pio=self.pio,MPI=MPI) and ngas_read!=0:
if mpi.mpi_IsMaster(): print "reading u..."
u = io.ReadDataBlock(f,float32,shape=(ngas_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
u = concatenate((u,zeros(nbody-ngas).astype(float32)))
- if not io.end_of_file(f,pio=self.pio,MPI=MPI):
+ if not io.end_of_file(f,pio=self.pio,MPI=MPI) and ngas_read!=0:
if mpi.mpi_IsMaster(): print "reading rho..."
rho = io.ReadDataBlock(f,float32,shape=(ngas_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
rho = concatenate((rho,zeros(nbody-ngas).astype(float32)))
- if not io.end_of_file(f,pio=self.pio,MPI=MPI):
+ if not io.end_of_file(f,pio=self.pio,MPI=MPI) and ngas_read!=0:
if mpi.mpi_IsMaster(): print "reading rsp..."
rsp = io.ReadDataBlock(f,float32,shape=(ngas_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
rsp = concatenate((rsp,zeros(nbody-ngas).astype(float32)))
# here it is the end of the minimal output
+
if flag_metals: # gas metal properties
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
if mpi.mpi_IsMaster(): print "reading metals..."
metals = io.ReadDataBlock(f,float32,shape=(ngas_read,NELEMENTS),byteorder=self.byteorder,pio=self.pio,npart=None)
metals = concatenate((metals,zeros((nbody-ngas,NELEMENTS)).astype(float32)))
if flag_age: # stellar properties
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
if mpi.mpi_IsMaster(): print "reading tstar..."
tstar = io.ReadDataBlock(f,float32,shape=(nstars_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
tstar = concatenate((-1*ones(ngas).astype(float32),tstar,-1*ones(nbody-ngas-nstars).astype(float32)))
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
if mpi.mpi_IsMaster(): print "reading minit..."
minit = io.ReadDataBlock(f,float32,shape=(nstars_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
minit = concatenate((0*ones(ngas).astype(float32),minit,0*ones(nbody-ngas-nstars).astype(float32)))
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
if mpi.mpi_IsMaster(): print "reading idp..."
idp = io.ReadDataBlock(f,int32,shape=(nstars_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
idp = concatenate((-1*ones(ngas).astype(float32),idp,-1*ones(nbody-ngas-nstars).astype(float32)))
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
if mpi.mpi_IsMaster(): print "reading rho_stars..."
rho_stars = io.ReadDataBlock(f,float32,shape=(nstars_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
rho = concatenate((rho[:ngas],rho_stars,zeros(nbody-ngas-nstars).astype(float32)))
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
if mpi.mpi_IsMaster(): print "reading rsp_stars..."
rsp_stars = io.ReadDataBlock(f,float32,shape=(nstars_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
rsp = concatenate((rsp[:ngas],rsp_stars,zeros(nbody-ngas-nstars).astype(float32)))
if flag_metals: # stars metal properties
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
if mpi.mpi_IsMaster(): print "reading metals_stars..."
metals_stars = io.ReadDataBlock(f,float32,shape=(nstars_read,NELEMENTS),byteorder=self.byteorder,pio=self.pio,npart=None)
metals = concatenate(( metals[:ngas,:], metals_stars, zeros((nbody-ngas-nstars,NELEMENTS)).astype(float32) ))
- # other variables
+ # other variables
+ if not io.end_of_file(f,pio=self.pio,MPI=MPI):
+
+ if not io.end_of_file(f,pio=self.pio,MPI=MPI):
+ if mpi.mpi_IsMaster(): print "reading pot..."
+ pot = io.ReadDataBlock(f,float32,shape=(nbody_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
+
+ if not io.end_of_file(f,pio=self.pio,MPI=MPI):
+ if mpi.mpi_IsMaster(): print "reading acc..."
+ acc = io.ReadDataBlock(f,float32,shape=(nbody_read,3),byteorder=self.byteorder,pio=self.pio,npart=npart_read)
+
+
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
if mpi.mpi_IsMaster(): print "reading opt1..."
opt1 = io.ReadDataBlock(f,float32,shape=(ngas_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
if (len(opt1)==ngas):
opt1 = concatenate((opt1,zeros(nbody-ngas).astype(float32)))
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
if mpi.mpi_IsMaster(): print "reading opt2..."
opt2 = io.ReadDataBlock(f,float32,shape=(ngas_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
if (len(opt2)==ngas):
opt2 = concatenate((opt2,zeros(nbody-ngas).astype(float32)))
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
erd = io.ReadDataBlock(f,float32,shape=(ngas_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
if (len(erd)==ngas):
erd = concatenate((erd,zeros(nbody-ngas).astype(float32)))
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
dte = io.ReadDataBlock(f,float32,shape=(ngas_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
dte = concatenate((dte,zeros(nbody-ngas).astype(float32)))
if not io.end_of_file(f,pio=self.pio,MPI=MPI):
pot = io.ReadDataBlock(f,float32,shape=(ngas_read,),byteorder=self.byteorder,pio=self.pio,npart=None)
# make global
self.npart = npart
self.massarr = massarr
self.atime = atime
self.redshift = redshift
self.flag_sfr = flag_sfr
self.flag_feedback = flag_feedback
self.nall = nall
self.flag_cooling = flag_cooling
self.num_files = num_files
self.boxsize = boxsize
self.omega0 = omega0
self.omegalambda = omegalambda
self.hubbleparam = hubbleparam
self.flag_age = flag_age
self.flag_metals = flag_metals
self.nallhw = nallhw
self.flag_entr_ic = flag_entr_ic
self.flag_chimie_extraheader = flag_chimie_extraheader
self.critical_energy_spec = critical_energy_spec
self.empty = empty
self.nbody = nbody
self.pos = pos
self.vel = vel
self.mass = mass
self.num = num
self.tpe = array([],int32)
for i in range(len(npart)):
self.tpe = concatenate( (self.tpe,ones(npart[i])*i) )
self.nzero = nzero
self.u = u
self.rho = rho
self.tstar = tstar
self.minit = minit
self.idp = idp
self.metals = metals
self.opt1 = opt1
self.opt2 = opt2
self.erd = erd
self.dte = dte
- self.pot = pot
+ self.pot = pot
+ self.acc = acc
self.rsp = rsp
if type(self.massarr) == ndarray:
self.massarr = self.massarr.tolist()
if type(self.nall) == ndarray:
self.nall = self.nall.tolist()
if type(self.nallhw) == ndarray:
self.nallhw = self.nallhw.tolist()
def write_particles(self,f):
'''
specific format for particle file
'''
# here, we must let the user decide if we creates
# the mass block or not, event if all particles have the same mass
massarr,nzero = self.get_massarr_and_nzero()
if self.pio == 'yes':
'''
here, we have to compute also
mass for each proc
'''
npart = self.npart
nall = self.npart_tot
num_files = mpi.NTask
npart_write = None
npart_m_write = None
else:
npart = self.npart
nall = self.npart_tot
npart_all = array(mpi.mpi_allgather(npart))
num_files = 1
npart_write = self.npart
npart_m_write = array(self.npart) * (array(self.massarr)==0)
# compute the global massarr and global nzero
nzero_tot = mpi.mpi_sum(nzero)
massarr_all = array(mpi.mpi_allgather(massarr))
massarr_tot = zeros(len(npart),float)
for i in range(len(npart)):
# keep only values where there are particles
massarr_all_red = compress(npart_all[:,i]!=0,massarr_all[:,i])
if len(massarr_all_red)>0:
if (massarr_all_red == massarr_all_red).all():
massarr_tot[i] = massarr_all[0,i]
else: # not equal
raise "this case is not implemented"
massarr_tot[i] = 0.0
nzero_tot = nzero_tot + sum(npart_write[:,i])
# now, re-compute nzero for the current node
massarr = massarr_tot
nzero = 0
for i in range(len(npart)):
if massarr[i] == 0:
nzero = nzero+npart[i]
# now that we have the right massarr and nzero,
# we can compute massnzero for each node
nzero_all = zeros((mpi.NTask,len(self.npart)))
if nzero != 0:
ni = 0
massnzero=array([],float32)
for i in range(len(self.npart)):
if npart[i]!=0 and massarr[i]==0.:
massnzero = concatenate((massnzero,self.mass[ni:ni+self.npart[i]]))
nzero_all[mpi.ThisTask,i] = nzero_all[mpi.ThisTask,i] + npart[i]
ni = ni + self.npart[i]
nzero_all = mpi.mpi_allreduce(nzero_all)
if self.pio == 'yes':
if nzero!=0 and len(massnzero)==0: # !!! because zere is a bug see warning in get_massarr_and_nzero
nzero = 0
else:
npart = self.npart_tot
nzero = mpi.mpi_allreduce(nzero) # to ensure that all nodes
# will do -> write mass if needed
# header
if sys.byteorder == self.byteorder:
npart = array(npart,int32).tostring()
massarr = array(massarr,float).tostring()
else:
npart = array(npart,int32).byteswap().tostring()
massarr = array(massarr,float).byteswap().tostring()
atime = self.atime
redshift = self.redshift
flag_sfr = self.flag_sfr
flag_feedback = self.flag_feedback
if sys.byteorder == self.byteorder:
nall = array(nall,int32).tostring()
else:
nall = array(nall,int32).byteswap().tostring()
flag_cooling = self.flag_cooling
num_files = num_files
boxsize = self.boxsize
omega0 = self.omega0
omegalambda = self.omegalambda
hubbleparam = self.hubbleparam
flag_age = self.flag_age
flag_metals = self.flag_metals
if sys.byteorder == self.byteorder:
nallhw = array(self.nallhw,float).tostring()
else:
nallhw = array(self.nallhw,float).byteswap().tostring()
flag_entr_ic = self.flag_entr_ic
flag_chimie_extraheader = self.flag_chimie_extraheader
critical_energy_spec = self.critical_energy_spec
empty = self.empty
# header
tpl = ((npart,24),(massarr,48),(atime,float),(redshift,float),(flag_sfr,int32),(flag_feedback,int32),(nall,24),(flag_cooling,int32),(num_files,int32),(boxsize,float),(omega0,float),(omegalambda,float),(hubbleparam,float),(flag_age,int32),(flag_metals,int32),(nallhw,24),(flag_entr_ic,int32),(flag_chimie_extraheader,int32),(critical_energy_spec,float),(empty,48))
io.WriteBlock(f,tpl,byteorder=self.byteorder)
# extra header
if self.flag_chimie_extraheader:
print "writing chimie extra-header..."
SolarMassAbundances = zeros(self.ChimieNelements,float32)
labels = ""
for i,elt in enumerate(self.ChimieElements):
SolarMassAbundances[i] = self.ChimieSolarMassAbundances[elt]
labels = labels + "%s,"%elt
labels_len = (256-4-self.ChimieNelements*4)
labels = labels + (labels_len-len(labels)) *" "
tpl = ((self.ChimieNelements,int32), (SolarMassAbundances,float32), (labels,len(labels)))
io.WriteBlock(f,tpl,byteorder=self.byteorder)
# positions
io.WriteArray(f,self.pos.astype(float32),byteorder=self.byteorder,pio=self.pio,npart=npart_write)
# velocities
io.WriteArray(f,self.vel.astype(float32),byteorder=self.byteorder,pio=self.pio,npart=npart_write)
# id
io.WriteArray(f,self.num.astype(int32),byteorder=self.byteorder,pio=self.pio,npart=npart_write)
# write mass if needed
if nzero != 0:
io.WriteArray(f,massnzero.astype(float32),byteorder=self.byteorder,pio=self.pio,npart=npart_m_write)
# write extension
if self.has_array('u'):
if self.u != None:
io.WriteArray(f,self.u[:self.npart[0]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
print "write u"
if self.has_array('rho'):
if self.rho != None:
io.WriteArray(f,self.rho[:self.npart[0]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
print "write rho"
if self.has_array('rsp'):
if self.rsp != None:
io.WriteArray(f,self.rsp[:self.npart[0]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
print "write rsp"
# this is the end of the minimal output
if self.flag_metals:
if self.has_array('metals'):
io.WriteArray(f,self.metals[:self.npart[0]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
print "write metals"
if self.flag_age:
if self.has_array('tstar'):
io.WriteArray(f,self.tstar[self.npart[0]:self.npart[0]+self.npart[1]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
print "write tstar"
if self.has_array('minit'):
io.WriteArray(f,self.minit[self.npart[0]:self.npart[0]+self.npart[1]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
print "write minit"
if self.has_array('idp'):
print
io.WriteArray(f,self.idp[self.npart[0]:self.npart[0]+self.npart[1]].astype(int32),byteorder=self.byteorder,pio=self.pio,npart=None)
print "write idp"
if self.has_array('rho'):
data = self.rho[self.npart[0]:self.npart[0]+self.npart[1]].astype(float32)
if len(data)>0:
io.WriteArray(f,data,byteorder=self.byteorder,pio=self.pio,npart=None)
print "write rho (stars)"
if self.has_array('rsp'):
data = self.rsp[self.npart[0]:self.npart[0]+self.npart[1]].astype(float32)
if len(data)>0:
io.WriteArray(f,data,byteorder=self.byteorder,pio=self.pio,npart=None)
print "write rsp (stars)"
if self.flag_metals:
if self.has_array('metals'):
data = self.metals[self.npart[0]:self.npart[0]+self.npart[1]].astype(float32)
if len(data)>0:
io.WriteArray(f,data,byteorder=self.byteorder,pio=self.pio,npart=None)
print "write metals (stars)"
+ if self.has_array('pot'):
+ if self.pot != None:
+ io.WriteArray(f,self.pot.astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
+
+ if self.has_array('acc'):
+ if self.acc != None:
+ io.WriteArray(f,self.acc.astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
+
+
if self.has_array('opt'):
if self.opt != None:
io.WriteArray(f,self.opt[:self.npart[0]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
if self.has_array('opt2'):
if self.opt2 != None:
io.WriteArray(f,self.opt2[:self.npart[0]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
if self.has_array('erd'):
if self.erd != None:
io.WriteArray(f,self.erd[:self.npart[0]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
if self.has_array('dte'):
if self.dte != None:
io.WriteArray(f,self.dte[:self.npart[0]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
- if self.has_array('pot'):
- if self.pot != None:
- io.WriteArray(f,self.pot[:self.npart[0]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
+ #if self.has_array('pot'):
+ # if self.pot != None:
+ # io.WriteArray(f,self.pot[:self.npart[0]].astype(float32),byteorder=self.byteorder,pio=self.pio,npart=None)
def spec_info(self):
"""
Write spec info
"""
infolist = []
infolist.append("")
#infolist.append("nzero : %s"%self.nzero)
#infolist.append("npart : %s"%self.npart)
#infolist.append("massarr : %s"%self.massarr)
infolist.append("atime : %s"%self.atime)
infolist.append("redshift : %s"%self.redshift)
infolist.append("flag_sfr : %s"%self.flag_sfr)
infolist.append("flag_feedback : %s"%self.flag_feedback)
infolist.append("nall : %s"%self.nall)
infolist.append("flag_cooling : %s"%self.flag_cooling)
infolist.append("num_files : %s"%self.num_files)
infolist.append("boxsize : %s"%self.boxsize)
infolist.append("omega0 : %s"%self.omega0)
infolist.append("omegalambda : %s"%self.omegalambda)
infolist.append("hubbleparam : %s"%self.hubbleparam)
infolist.append("flag_age : %s"%self.flag_age)
infolist.append("flag_metals : %s"%self.flag_metals)
infolist.append("nallhw : %s"%self.nallhw)
infolist.append("flag_entr_ic : %s"%self.flag_entr_ic)
infolist.append("critical_energy_spec: %s"%self.critical_energy_spec)
infolist.append("")
if self.has_array('u'):
infolist.append("len u : %s"%len(self.u))
infolist.append("u[0] : %s"%self.u[0])
infolist.append("u[-1] : %s"%self.u[-1])
if self.has_array('rho'):
infolist.append("len rho : %s"%len(self.rho))
infolist.append("rho[0] : %s"%self.rho[0])
infolist.append("rho[-1] : %s"%self.rho[-1])
if self.has_array('rsp'):
infolist.append("len rsp : %s"%len(self.rsp))
infolist.append("rsp[0] : %s"%self.rsp[0])
infolist.append("rsp[-1] : %s"%self.rsp[-1])
if self.has_array('opt'):
infolist.append("len opt : %s"%len(self.opt))
infolist.append("opt[0] : %s"%self.opt[0])
infolist.append("opt[-1] : %s"%self.opt[-1])
if self.has_array('opt2'):
infolist.append("len opt2 : %s"%len(self.opt2))
infolist.append("opt2[0] : %s"%self.opt2[0])
infolist.append("opt2[-1] : %s"%self.opt2[-1])
if self.has_array('erd'):
infolist.append("len erd : %s"%len(self.erd))
infolist.append("erd[0] : %s"%self.erd[0])
infolist.append("erd[-1] : %s"%self.erd[-1])
if self.has_array('dte'):
infolist.append("len dte : %s"%len(self.dte))
infolist.append("dte[0] : %s"%self.dte[0])
infolist.append("dte[-1] : %s"%self.dte[-1])
if self.has_array('tstar'):
infolist.append("len tstar : %s"%len(self.tstar))
infolist.append("tstar[0] : %s"%self.tstar[0])
infolist.append("tstar[-1] : %s"%self.tstar[-1])
if self.has_array('idp'):
infolist.append("len idp : %s"%len(self.idp))
infolist.append("idp[0] : %s"%self.idp[0])
infolist.append("idp[-1] : %s"%self.idp[-1])
return infolist
#def select(self,tpe='gas'):
def select(self,*arg,**kw):
"""
Return an N-body object that contain only particles of a
certain type, defined by in gadget:
gas : gas particles
halo : halo particles
disk : disk particles
bulge : bulge particles
stars : stars particles
bndry : bndry particles
sph : gas with u > u_c
sticky : gas with u < u_c
"""
index = {'gas':0,'halo':1,'disk':2,'bulge':3,'stars':4,'bndry':5,'stars1':1,'halo1':2}
# this allows to write nb.select(('gas','disk'))
if len(arg)==1:
if type(arg[0])==types.TupleType:
arg = arg[0]
tpes = arg
# create the selection vector
c = zeros(self.nbody)
for tpe in tpes:
if type(tpe) == types.StringType:
if (tpe=='sph'):
c = c+(self.u>self.critical_energy_spec)*(self.tpe==0)
elif (tpe=='sticky'):
c = c+(self.u0)*(self.tpe==0)
elif (tpe=='cg'):
c = c+(self.u<0)*(self.tpe==0)
elif (tpe=='all'):
return self
elif not index.has_key(tpe):
print "unknown type, do nothing %s"%(tpe)
return self
else:
i = index[tpe]
c = c+(self.tpe==i)
elif type(tpe) == types.IntType:
c = c+(self.tpe==tpe)
return self.selectc(c)
'''
elif type(tpe) == types.StringType:
if (tpe=='sph'):
nb = self.select('gas')
return nb.selectc((self.u>self.critical_energy_spec))
if (tpe=='sticky'):
nb = self.select('gas')
return nb.selectc((nb.u<=nb.critical_energy_spec))
if not index.has_key(tpe):
print "unknown type %s"%(tpe)
return self
i = index[tpe]
else:
i = tpe
if self.npart[i]==0:
#print "no particle of type %s"%(tpe)
return self.selectc(zeros(self.nbody))
n1 = sum(self.npart[:i])
n2 = n1 + self.npart[i]-1
return self.sub(n1,n2)
'''
def subdis(self,mode='dd',val=None):
"""
Equivalent of select
"""
return self.select(mode)
def Z(self):
"""
total metallicity
"""
- return log10(self.metals[:,self.NELEMENTS-1] / self.ChimieSolarMassAbundances['Metals'] + 1.0e-20)
-
+ elt = "Metals"
+ idx = self.ChimieElements.index(elt)
+ return log10(self.metals[:,idx] / self.ChimieSolarMassAbundances[elt] + 1.0e-20)
def Fe(self):
"""
metallicity Fe
"""
- return log10(self.metals[:,0] / self.ChimieSolarMassAbundances['Fe'] + 1.0e-20)
+ elt = "Fe"
+ idx = self.ChimieElements.index(elt)
+ return log10(self.metals[:,idx] / self.ChimieSolarMassAbundances[elt] + 1.0e-20)
def Mg(self):
"""
magnesium
"""
- return log10(self.metals[:,1] / self.ChimieSolarMassAbundances['Mg'] + 1.0e-20)
+ elt = "Mg"
+ idx = self.ChimieElements.index(elt)
+ return log10(self.metals[:,idx] / self.ChimieSolarMassAbundances[elt] + 1.0e-20)
+
+
def O(self):
"""
Oxygen
"""
- return log10(self.metals[:,2] / self.ChimieSolarMassAbundances['O'] + 1.0e-20)
+ elt = "O"
+ idx = self.ChimieElements.index(elt)
+ return log10(self.metals[:,idx] / self.ChimieSolarMassAbundances[elt] + 1.0e-20)
+
def Ba(self):
"""
Barium
"""
- return log10(self.metals[:,3] / self.ChimieSolarMassAbundances['Ba'] + 1.0e-20)
+ elt = "Ba"
+ idx = self.ChimieElements.index(elt)
+ return log10(self.metals[:,idx] / self.ChimieSolarMassAbundances[elt] + 1.0e-20)
def MgFe(self):
-
+ elt1 = "Mg"
+ elt2 = "Fe"
+ idx1 = self.ChimieElements.index(elt1)
+ idx2 = self.ChimieElements.index(elt2)
eps = 1e-20
- MgFe = log10((self.metals[:,1]+eps)/(self.metals[:,0]+eps) / self.ChimieSolarMassAbundances['Mg'] * self.ChimieSolarMassAbundances['Fe'])
- return MgFe
+ return log10((self.metals[:,idx1]+eps)/(self.metals[:,idx2]+eps) / self.ChimieSolarMassAbundances[elt1] * self.ChimieSolarMassAbundances[elt2])
def BaFe(self):
-
+ elt1 = "Ba"
+ elt2 = "Fe"
+ idx1 = self.ChimieElements.index(elt1)
+ idx2 = self.ChimieElements.index(elt2)
eps = 1e-20
- BaFe = log10((self.metals[:,3]+eps)/(self.metals[:,0]+eps) / self.ChimieSolarMassAbundances['Ba'] * self.ChimieSolarMassAbundances['Fe'])
- return BaFe
+ return log10((self.metals[:,idx1]+eps)/(self.metals[:,idx2]+eps) / self.ChimieSolarMassAbundances[elt1] * self.ChimieSolarMassAbundances[elt2])
+
def SiFe(self):
-
+ elt1 = "Si"
+ elt2 = "Fe"
+ idx1 = self.ChimieElements.index(elt1)
+ idx2 = self.ChimieElements.index(elt2)
eps = 1e-20
- SiFe = log10((self.metals[:,3]+eps)/(self.metals[:,0]+eps) / self.ChimieSolarMassAbundances['Si'] * self.ChimieSolarMassAbundances['Fe'])
- return SiFe
+ return log10((self.metals[:,idx1]+eps)/(self.metals[:,idx2]+eps) / self.ChimieSolarMassAbundances[elt1] * self.ChimieSolarMassAbundances[elt2])
+ def AbRatio(self,elt1,elt2):
+ """
+ return [X/Y]
+ """
+
+ if elt2=="H":
+ idx1 = self.ChimieElements.index(elt1)
+ return log10(self.metals[:,idx1] / self.ChimieSolarMassAbundances[elt1] + 1.0e-20)
+ else:
+ idx1 = self.ChimieElements.index(elt1)
+ idx2 = self.ChimieElements.index(elt2)
+ eps = 1e-20
+ return log10((self.metals[:,idx1]+eps)/(self.metals[:,idx2]+eps) / self.ChimieSolarMassAbundances[elt1] * self.ChimieSolarMassAbundances[elt2])
+
+
+
+
+
def luminosity_spec(self,tnow=None):
"""
compute specific luminosity, using metalicity
u_mass = 1.e10
LuminosityElement*u_mass/1.0d6, ' x 10^6 Lsun'
"""
# initialize SSP
from pNbody.SSP import libvazdekis
# vazdekis_kb_mu1.3.txt : krupa 01 revisited
self.LObj = libvazdekis.VazdekisLuminosities(os.path.join(OPTDIR,'SSP','vazdekis_kb_mu1.3.txt'))
self.LObj.ExtrapolateMatrix(order=1,s=0)
self.LObj.CreateInterpolator()
self.LObj.Extrapolate2DMatrix()
u_mass = 1.e10
u_time = 4.7287e6
SolarAbun_Fe = 0.001771
if self.tstar==None:
return array([],float32)
if tnow==None:
tnow = self.atime
Ages = (tnow-self.tstar)*u_time*1.0e-9 # ages in Gyr
Zs = self.Z()
# compute luminosities using LObj
L = self.LObj.Luminosities(Zs,Ages)
return L
def old_luminosity_spec(self,tnow=None):
"""
compute specific luminosity, using metalicity
u_mass = 1.e10
LuminosityElement*u_mass/1.0d6, ' x 10^6 Lsun'
"""
u_mass = 1.e10
u_time = 4.7287e6
SolarAbun_Fe = 0.001771
if self.tstar==None:
return 0
if tnow==None:
tnow = self.atime
age = (tnow-self.tstar)*u_time*1.0e-9
-
- Fe = log10(self.metals[:,0] / SolarAbun_Fe + 1.0e-20)
+ Fe = self.Fe()
met_bins = array([-1.68, -1.28,-0.68])
age_bins = array([0.007,0.02,0.07,0.10,0.11,0.13,0.14,0.16,0.18,0.20,0.22,0.25,0.28,
0.32,0.35,0.40,0.45,0.50,0.56,0.63,0.71,0.79,0.89,1.00,1.12,1.26,1.41,1.58,1.78,2.00,
2.24,2.51,2.82,3.16,3.55,3.98,4.47,5.01,5.62,6.31,7.08,7.94,8.91,10.00,11.22,12.59,14.13,15.85])
L0 = array([1./(0.003*2.0),1./(0.007*2.0),1./(0.054*2.0),1./0.172,1./0.122,1./0.126,1./0.132,1./0.138,1./0.145,
1./0.153,1./0.166,1./0.179,1./0.196,1./0.218,1./0.232,1./0.248,1./0.267,1./0.292,1./0.313,1./0.339,
1./0.371,1./0.397,1./0.429,1./0.464,1./0.471,1./0.461,1./0.597,1./0.640,1./0.681,1./0.746,1./0.813,
1./0.899,1./0.975,1./1.085,1./1.202,1./1.328,1./1.464,1./1.606,1./1.753,1./1.929,1./2.100,1./2.282,
1./2.485,1./2.762,1./2.987,1./3.230,1./3.504,1./3.794,1./4.100])
L1 = array([1./(0.003 * 2.0),1./(0.007 * 2.0),1./(0.054 * 2.0),1./0.154,1./0.126,1./0.134,1./0.141,1./0.149,
1./0.162,1./0.177,1./0.195,1./0.212,1./0.227,1./0.245,1./0.263,1./0.278,1./0.296,1./0.324,1./0.348,
1./0.376,1./0.412,1./0.444,1./0.481,1./0.516,1./0.550,1./0.543,1./0.590,1./0.688,1./0.747,1./0.819,
1./0.896,1./0.985,1./1.077,1./1.197,1./1.317,1./1.444,1./1.573,1./1.735,1./1.888,1./2.066,1./2.304,
1./2.502,1./2.729,1./3.008,1./3.256,1./3.564,1./3.740,1./4.212,1./4.491])
L2 = array([1./(0.003 * 2.0),1./(0.007 * 2.0),1./(0.054 * 2.0),1./0.163,1./0.169,1./0.159,1./0.172,1./0.184,
1./0.198,1./0.214,1./0.230,1./0.253,1./0.270,1./0.291,1./0.318,1./0.345,1./0.371,1./0.401,1./0.432,
1./0.464,1./0.501,1./0.540,1./0.583,1./0.633,1./0.684,1./0.710,1./0.694,1./0.870,1./0.989,1./1.092,
1./1.183,1./1.296,1./1.410,1./1.534,1./1.665,1./1.809,1./2.023,1./2.200,1./2.477,1./2.692,1./2.927,
1./3.214,1./3.490,1./3.783,1./4.087,1./4.411,1./4.742,1./5.115,1./5.515])
L3 = array([1./(0.003 * 2.0),1./(0.007 * 2.0),1./(0.054 * 2.0),1./0.166,1./0.177,1./0.179,1./0.192,1./0.206,
1./0.221,1./0.241,1./0.259,1./0.282,1./0.308,1./0.331,1./0.357,1./0.386,1./0.415,1./0.448,1./0.485,
1./0.524,1./0.562,1./0.614,1./0.671,1./0.725,1./0.785,1./0.770,1./0.937,1./1.068,1./1.189,1./1.318,
1./1.448,1./1.575,1./1.736,1./1.918,1./2.066,1./2.236,1./2.439,1./2.728,1./2.977,1./3.331,1./3.722,
1./4.063,1./4.387,1./4.717,1./5.047,1./5.474,1./5.972,1./6.636,1./7.018])
L = array([L0,L1,L2,L3])
#i = searchsorted(met_bins,Fe) # metallicity index
#j = searchsorted(age_bins,age) # age index
i = met_bins.searchsorted(Fe)
j = age_bins.searchsorted(age)
#return take(L,[i,j],[0,1])*self.mass
return L[i,j]
def luminosity(self,tnow=None):
return self.luminosity_spec(tnow)*self.mass
def Age(self):
'''in Gyrs (for treeasph units)'''
u_time = 4.7287e6
age = (self.atime-self.tstar)*u_time*1.0e-9
return age
def age(self):
'''in CU '''
return (self.atime-self.tstar)
#################################################################
# physical values (with correct unit conversion)
#################################################################
def Rxyz(self,a=None,h=None,units=None):
"""
return the radius of each particles in physical units, i.e.
correct it from the scaling factor and h if necessary (i.e. comoving integration is on)
"""
print "... compute Rxyz()"
# set factor unit
funit=1.0
if units!=None:
funit = self.localsystem_of_units.convertionFactorTo(units)
print "... factor units = %g"%funit
if self.isComovingIntegrationOn():
print " converting to physical units (a=%5.3f h=%5.3f)"%(self.atime,self.hubbleparam)
return self.rxyz()*self.atime/self.hubbleparam * funit
else:
return self.rxyz() * funit
def Rxy(self,a=None,h=None,units=None):
"""
return the radius of each particles in physical units, i.e.
correct it from the scaling factor and h if necessary (i.e. comoving integration is on)
"""
print "... compute Rxy()"
# set factor unit
funit=1.0
if units!=None:
funit = self.localsystem_of_units.convertionFactorTo(units)
print "... factor units = %g"%funit
if self.isComovingIntegrationOn():
print " converting to physical units (a=%5.3f h=%5.3f)"%(self.atime,self.hubbleparam)
return self.rxy()*self.atime/self.hubbleparam * funit
else:
return self.rxy() * funit
def Rho(self,a=None,h=None,units=None):
'''
return the density of particles.
a : scaling factor
h : hubble parameter
units : output units
different cases :
comoving integration (self.comovingintegration==True)
1) convert into physical coorinates
2) if a=1 -> stay in comoving (in this case, we can also use nb.rho)
non comoving integration (self.comovingintegration==False)
1) do not convert
2) if I want to force a behavior : put a=0.1 ->
'''
print "... compute Rho()"
# set factor unit
funit=1.0
if units!=None:
funit = self.localsystem_of_units.convertionFactorTo(units)
print "... factor units = %g"%funit
if self.isComovingIntegrationOn():
print " converting to physical units (a=%5.3f h=%5.3f)"%(self.atime,self.hubbleparam)
return self.rho/self.atime**3*self.hubbleparam**2 *funit
else:
return self.rho*funit
def T(self):
'''
u does not depends on a nor h
'''
print "... compute T()"
gamma = self.unitsparameters.get('gamma')
xi = self.unitsparameters.get('xi')
ionisation = self.unitsparameters.get('ionisation')
mu = thermodyn.MeanWeight(xi,ionisation)
mh = ctes.PROTONMASS.into(self.localsystem_of_units)
k = ctes.BOLTZMANN.into(self.localsystem_of_units)
thermopars = {"k":k,"mh":mh,"mu":mu,"gamma":gamma}
T = where((self.u>0),thermodyn.Tru(None,self.u,thermopars),0)
return T
def Tcool(self,units=None):
from pNbody import cooling
#print "... compute Tcool()"
if self.metals == None:
FeH = zeros(self.nbody).astype(float32)
else:
- FeH = self.metals[:,0]
+ FeH = self.metals[:,self.ChimieElements.index('Fe')]
#l = cooling.get_lambda_from_Density_EnergyInt_FeH(self.rho,self.u,FeH)
#dudt = l/self.rho
#tcool = self.u/dudt
# parameters for the cooling
from pNbody import cooling
cooling_params = self.localsystem_of_units.getparam()
cooling_params['CoolingFile'] = "/home/epfl/revaz/.pNbody/cooling_with_metals.dat"
cooling.init_cooling(cooling_params)
tcool = cooling.get_cooling_time_from_Density_EnergyInt_FeH(self.rho,self.u,FeH)
# set factor unit
funit=1.0
if units!=None:
funit = self.localsystem_of_units.convertionFactorTo(units)
print "... factor units = %g"%funit
tcool = tcool*funit
if self.isComovingIntegrationOn():
print "Tcool : isComovingIntegrationOn not implemented"
sys.exit()
return tcool.astype(float32)
def StellarAge(self,units=None):
'''
stellar age
'''
print "... compute StellarAge()"
age = (self.atime-self.tstar)
# set factor unit
funit=1.0
if units!=None:
funit = self.localsystem_of_units.convertionFactorTo(units)
print "... factor units = %g"%funit
if self.isComovingIntegrationOn():
print "with comoving interation on, you need to convert da in cosmic time"
print "this is not implemented"
sys.exit()
else:
return age*funit
def dLdt(self):
from pNbody import cooling
if self.metals == None:
FeH = zeros(self.nbody).astype(float32)
else:
- FeH = self.metals[:,0]
+ FeH = self.metals[:,self.ChimieElements.index('Fe')]
l = cooling.get_lambda_from_Density_EnergyInt_FeH(self.rho,self.u,FeH)
dLdt = self.mass * l/self.rho
return dLdt.astype(float32)
def CosmicTime(self):
"""
return cosmic time in Gyrs
"""
from pNbody import cosmo
from pNbody import ctes
Hubble = ctes.HUBBLE.into(self.localsystem_of_units)
pars = {"Hubble":Hubble,"HubbleParam":self.hubbleparam,"OmegaLambda":self.omegalambda,"Omega0":self.omega0}
print "WARNING : THIS FUNCTION MUST BE TESTED !!!"
return cosmo.CosmicTime_a(self.atime,pars)
def Redshift(self):
"""
return redshift
"""
from pNbody import cosmo
return cosmo.Z_a(self.atime)
def sfr(self,dt):
"""
star formation rate per particle
all units are in code units
"""
sfr = where( (self.atime-self.tstar) < dt, self.mass/dt ,0 )
return sfr
def toPhysicalUnits(self,a=None,h=None):
"""
convert from comobile units to physical units
correct from the scaling factor and
from the hubble parameter
"""
if self.isComovingIntegrationOn():
if a==None:
a = self.atime
if h==None:
h = self.hubbleparam
print " converting to physical units (a=%5.3f h=%5.3f)"%(a,h)
Hubble = ctes.HUBBLE.into(self.localsystem_of_units)
OmegaLambda= self.omegalambda
Omega0 = self.omega0
print " (HubbleCte =%5.3f)"%Hubble
print " (OmegaLambda=%5.3f)"%OmegaLambda
print " (Omega0 =%5.3f)"%Omega0
pars = {"Hubble":Hubble,"OmegaLambda":OmegaLambda,"Omega0":Omega0}
Ha = cosmo.Hubble_a(a,pars=pars)
self.vel = self.pos*Ha*a + self.vel*sqrt(a)
self.pos = self.pos*a/h
self.mass= self.mass/h
if self.has_array('u'):
self.u = self.u
if self.has_array('rho'):
self.rho = self.rho/a**2 * h**2
def TimeStepLevel(self):
"""
return the timestep level in log2
"""
return (log10(self.opt1)/log10(2)).astype(int)
diff --git a/config/opt/SSP/.svn/all-wcprops b/config/opt/SSP/.svn/all-wcprops
new file mode 100644
index 0000000..1646ca3
--- /dev/null
+++ b/config/opt/SSP/.svn/all-wcprops
@@ -0,0 +1,53 @@
+K 25
+svn:wc:ra_dav:version-url
+V 37
+/svn/pnbody/!svn/ver/2/config/opt/SSP
+END
+vazdekis_ku_mu1.3.txt
+K 25
+svn:wc:ra_dav:version-url
+V 59
+/svn/pnbody/!svn/ver/2/config/opt/SSP/vazdekis_ku_mu1.3.txt
+END
+Maraston_JC_SALP_IRHB.txt
+K 25
+svn:wc:ra_dav:version-url
+V 63
+/svn/pnbody/!svn/ver/2/config/opt/SSP/Maraston_JC_SALP_IRHB.txt
+END
+Maraston_JC_KRUP_IRHB.txt
+K 25
+svn:wc:ra_dav:version-url
+V 63
+/svn/pnbody/!svn/ver/2/config/opt/SSP/Maraston_JC_KRUP_IRHB.txt
+END
+vazdekis_un_mu1.3.txt
+K 25
+svn:wc:ra_dav:version-url
+V 59
+/svn/pnbody/!svn/ver/2/config/opt/SSP/vazdekis_un_mu1.3.txt
+END
+Maraston_JC_SALP_BHB.txt
+K 25
+svn:wc:ra_dav:version-url
+V 62
+/svn/pnbody/!svn/ver/2/config/opt/SSP/Maraston_JC_SALP_BHB.txt
+END
+Maraston_JC_KRUP_BHB.txt
+K 25
+svn:wc:ra_dav:version-url
+V 62
+/svn/pnbody/!svn/ver/2/config/opt/SSP/Maraston_JC_KRUP_BHB.txt
+END
+vazdekis_bi_mu1.3.txt
+K 25
+svn:wc:ra_dav:version-url
+V 59
+/svn/pnbody/!svn/ver/2/config/opt/SSP/vazdekis_bi_mu1.3.txt
+END
+vazdekis_kb_mu1.3.txt
+K 25
+svn:wc:ra_dav:version-url
+V 59
+/svn/pnbody/!svn/ver/2/config/opt/SSP/vazdekis_kb_mu1.3.txt
+END
diff --git a/config/opt/SSP/.svn/entries b/config/opt/SSP/.svn/entries
new file mode 100644
index 0000000..b270cd6
--- /dev/null
+++ b/config/opt/SSP/.svn/entries
@@ -0,0 +1,127 @@
+10
+
+dir
+69
+https://svn.epfl.ch/svn/pnbody/config/opt/SSP
+https://svn.epfl.ch/svn/pnbody
+
+
+
+2010-06-23T12:54:43.208424Z
+2
+yrevaz
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+f1771ac9-52fb-4361-9f77-cbfb7563c7d4
+
+vazdekis_ku_mu1.3.txt
+file
+
+
+
+
+2010-06-29T15:50:19.000000Z
+ca08c8ecb66722e8e4702e86e41b2d20
+2010-06-23T12:54:43.208424Z
+2
+yrevaz
+
+Maraston_JC_SALP_IRHB.txt
+file
+
+
+
+
+2010-06-29T15:50:19.000000Z
+ae03f03d12e4fc80bffbe7ab929cbbbb
+2010-06-23T12:54:43.208424Z
+2
+yrevaz
+
+Maraston_JC_KRUP_IRHB.txt
+file
+
+
+
+
+2010-06-29T15:50:19.000000Z
+ec5ff95dc79b8f1f46e52a1b0eee8663
+2010-06-23T12:54:43.208424Z
+2
+yrevaz
+
+vazdekis_un_mu1.3.txt
+file
+
+
+
+
+2010-06-29T15:50:19.000000Z
+7108c782e9221cfd18bd628709c27ed2
+2010-06-23T12:54:43.208424Z
+2
+yrevaz
+
+Maraston_JC_SALP_BHB.txt
+file
+
+
+
+
+2010-06-29T15:50:19.000000Z
+19c009700254c7a18c18b65462a5a1b6
+2010-06-23T12:54:43.208424Z
+2
+yrevaz
+
+Maraston_JC_KRUP_BHB.txt
+file
+
+
+
+
+2010-06-29T15:50:19.000000Z
+435de1a4bbd58572765391e4dc288544
+2010-06-23T12:54:43.208424Z
+2
+yrevaz
+
+P94_salpeter
+dir
+
+vazdekis_bi_mu1.3.txt
+file
+
+
+
+
+2010-06-29T15:50:19.000000Z
+3fbccb397a1cddb7969a03d0f02f8235
+2010-06-23T12:54:43.208424Z
+2
+yrevaz
+
+vazdekis_kb_mu1.3.txt
+file
+
+
+
+
+2010-06-29T15:50:19.000000Z
+6d961d5a27eda69ff7520aab4115dd0d
+2010-06-23T12:54:43.208424Z
+2
+yrevaz
+
diff --git a/config/opt/SSP/.svn/text-base/Maraston_JC_KRUP_BHB.txt.svn-base b/config/opt/SSP/.svn/text-base/Maraston_JC_KRUP_BHB.txt.svn-base
new file mode 100644
index 0000000..2e62491
--- /dev/null
+++ b/config/opt/SSP/.svn/text-base/Maraston_JC_KRUP_BHB.txt.svn-base
@@ -0,0 +1,306 @@
+##########################################################################################################
+# KROUPA IMF (0.1 -- 100 M_sun)
+##########################################################################################################
+# BLUE HORIZONTAL BRANCH at the two lowest metallicities
+# (Maraston & Thomas 2000; Maraston et al. 2003)
+##########################################################################################################
+ -2.25 1.000000 0.26251 0.22482 0.26324 0.36360 0.45172 0.42751 0.27943 0.19751 0.14788
+ -2.25 1.500000 0.36206 0.31242 0.36703 0.47396 0.57193 0.53637 0.37115 0.27976 0.21911
+ -2.25 2.000000 0.45146 0.39073 0.45094 0.56785 0.68108 0.63873 0.45650 0.35800 0.28872
+ -2.25 3.000000 0.60455 0.54830 0.62313 0.75346 0.90178 0.85660 0.69110 0.62919 0.57404
+ -2.25 4.000000 0.74806 0.69433 0.78960 0.91598 1.07322 1.00288 0.79749 0.72085 0.65610
+ -2.25 5.000000 0.87975 0.83510 0.95803 1.07216 1.23407 1.13841 0.89425 0.80297 0.72922
+ -2.25 6.000000 1.00283 0.97118 1.12155 1.21995 1.38376 1.26363 0.98397 0.87890 0.79664
+ -2.25 7.000000 1.11900 1.09976 1.27719 1.36087 1.52805 1.38592 1.07156 0.95362 0.86309
+ -2.25 8.000000 1.22983 1.21861 1.41926 1.49329 1.66611 1.50502 1.15895 1.02911 0.93004
+ -2.25 9.000000 1.33590 1.33765 1.55677 1.62280 1.79947 1.61802 1.24126 1.09917 0.99198
+ -2.25 10.000000 1.43297 1.44784 1.67649 1.74165 1.92505 1.72536 1.31802 1.16402 1.04925
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+ 0.00 0.080000 0.06340 0.04934 0.06820 0.10592 0.14436 0.14915 0.11840 0.09911 0.08525
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+ 0.00 0.090000 0.07085 0.05427 0.07385 0.11431 0.15558 0.16049 0.12693 0.10607 0.09112
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+ 0.00 0.300000 0.16398 0.17246 0.18288 0.23797 0.28335 0.25105 0.15934 0.11874 0.09625
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+ 0.00 1.500000 0.48541 0.95372 0.82691 0.71341 0.70967 0.58595 0.35499 0.25227 0.20435
+ 0.00 2.000000 0.60613 1.31040 1.09912 0.90817 0.88979 0.72605 0.43797 0.31293 0.25754
+ 0.00 3.000000 0.78068 1.99419 1.55943 1.25895 1.24327 1.01851 0.62697 0.46748 0.41055
+ 0.00 4.000000 0.96845 2.60889 1.99295 1.57869 1.54332 1.24824 0.75193 0.55511 0.48504
+ 0.00 5.000000 1.15865 3.30892 2.45293 1.90356 1.84249 1.47369 0.87122 0.63810 0.55520
+ 0.00 6.000000 1.32214 3.95832 2.85674 2.18208 2.09716 1.66614 0.97506 0.71133 0.61726
+ 0.00 7.000000 1.50280 4.59173 3.27413 2.48758 2.38285 1.88389 1.09430 0.79575 0.68861
+ 0.00 8.000000 1.69095 5.23179 3.69905 2.80059 2.67627 2.10984 1.22194 0.88775 0.76731
+ 0.00 9.000000 1.88735 6.10247 4.21527 3.15432 2.99602 2.34717 1.34780 0.97568 0.84175
+ 0.00 10.000000 2.08372 6.92109 4.70689 3.49796 3.30990 2.58330 1.47616 1.06693 0.91921
+ 0.00 11.000000 2.27511 7.96939 5.26581 3.86034 3.62965 2.81491 1.59377 1.14811 0.98779
+ 0.00 12.000000 2.46266 9.01576 5.81250 4.21583 3.94278 3.04202 1.70940 1.22812 1.05498
+ 0.00 13.000000 2.64625 10.12005 6.37005 4.57407 4.25581 3.26635 1.82131 1.30492 1.11888
+ 0.00 14.000000 2.83119 11.28566 6.94332 4.93773 4.57348 3.49307 1.93307 1.38168 1.18295
+ 0.00 15.000000 3.03080 12.60747 7.58417 5.34451 4.92525 3.74135 2.05527 1.46510 1.25241
+ 0.35 0.000001 0.00143 0.00517 0.01538 0.03615 0.06605 0.09836 0.18316 0.26492 0.28931
+ 0.35 0.000100 0.00143 0.00511 0.01521 0.03576 0.06535 0.09733 0.18133 0.26237 0.28658
+ 0.35 0.000200 0.00142 0.00502 0.01495 0.03515 0.06425 0.09571 0.17847 0.25834 0.28223
+ 0.35 0.000400 0.00141 0.00483 0.01441 0.03390 0.06200 0.09240 0.17258 0.24997 0.27328
+ 0.35 0.000600 0.00139 0.00467 0.01394 0.03280 0.06000 0.08946 0.16731 0.24250 0.26524
+ 0.35 0.000800 0.00138 0.00450 0.01346 0.03167 0.05795 0.08643 0.16188 0.23477 0.25692
+ 0.35 0.001000 0.00137 0.00432 0.01293 0.03044 0.05571 0.08313 0.15593 0.22630 0.24774
+ 0.35 0.001500 0.00134 0.00333 0.00987 0.02305 0.04205 0.06262 0.11745 0.17071 0.18699
+ 0.35 0.002000 0.00136 0.00300 0.00883 0.02054 0.03744 0.05567 0.10428 0.15157 0.16597
+ 0.35 0.002500 0.00163 0.00292 0.00833 0.01909 0.03457 0.05105 0.09427 0.13636 0.14867
+ 0.35 0.003000 0.00188 0.00284 0.00783 0.01769 0.03172 0.04640 0.08395 0.12055 0.13068
+ 0.35 0.003500 0.00230 0.00294 0.00747 0.01651 0.02910 0.04181 0.07247 0.10246 0.10972
+ 0.35 0.004000 0.00297 0.00388 0.00963 0.02058 0.03538 0.04926 0.07731 0.10307 0.10693
+ 0.35 0.004500 0.00339 0.00443 0.01115 0.02376 0.04076 0.05654 0.08765 0.11550 0.11930
+ 0.35 0.005000 0.00390 0.00485 0.01103 0.02215 0.03653 0.04864 0.06861 0.08682 0.08797
+ 0.35 0.005500 0.00414 0.00514 0.00971 0.01668 0.02497 0.03019 0.03488 0.04040 0.03937
+ 0.35 0.006000 0.00460 0.00621 0.01232 0.01913 0.02593 0.02857 0.02615 0.02686 0.02517
+ 0.35 0.006500 0.00503 0.00687 0.01409 0.02179 0.02828 0.02873 0.02162 0.01941 0.01713
+ 0.35 0.007000 0.00530 0.00662 0.01277 0.02180 0.02894 0.02697 0.01754 0.01374 0.01118
+ 0.35 0.007500 0.00573 0.00822 0.01784 0.03060 0.03801 0.02959 0.01517 0.01099 0.00864
+ 0.35 0.008000 0.00619 0.00990 0.02374 0.04089 0.04793 0.03222 0.01366 0.00927 0.00708
+ 0.35 0.008500 0.00694 0.01074 0.02543 0.04396 0.05196 0.03580 0.01565 0.01068 0.00818
+ 0.35 0.009000 0.00762 0.01150 0.02697 0.04676 0.05567 0.03908 0.01748 0.01197 0.00919
+ 0.35 0.009500 0.00824 0.01219 0.02837 0.04934 0.05910 0.04211 0.01917 0.01316 0.01013
+ 0.35 0.010000 0.00888 0.01289 0.02977 0.05192 0.06256 0.04519 0.02092 0.01441 0.01111
+ 0.35 0.015000 0.01595 0.01920 0.04125 0.07475 0.09700 0.07851 0.04100 0.02868 0.02247
+ 0.35 0.020000 0.02190 0.02421 0.04903 0.08706 0.11223 0.09374 0.05245 0.03708 0.02949
+ 0.35 0.025000 0.02905 0.02912 0.05643 0.10013 0.13215 0.11785 0.07192 0.05217 0.04224
+ 0.35 0.030000 0.03560 0.03366 0.06249 0.10869 0.14270 0.13098 0.08420 0.06224 0.05125
+ 0.35 0.035000 0.04046 0.03725 0.06639 0.11365 0.14908 0.13839 0.09023 0.06736 0.05574
+ 0.35 0.040000 0.04500 0.04068 0.06964 0.11741 0.15409 0.14409 0.09435 0.07099 0.05882
+ 0.35 0.045000 0.04943 0.04395 0.07263 0.12081 0.15863 0.14930 0.09814 0.07434 0.06166
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+ 0.35 0.070000 0.07014 0.05849 0.08481 0.13428 0.17658 0.17030 0.11351 0.08823 0.07351
+ 0.35 0.075000 0.07408 0.06113 0.08686 0.13649 0.17952 0.17379 0.11610 0.09061 0.07554
+ 0.35 0.080000 0.07794 0.06369 0.08882 0.13858 0.18231 0.17712 0.11856 0.09288 0.07748
+ 0.35 0.085000 0.08176 0.06620 0.09071 0.14058 0.18498 0.18031 0.12093 0.09507 0.07935
+ 0.35 0.090000 0.08552 0.06864 0.09251 0.14247 0.18750 0.18337 0.12320 0.09717 0.08116
+ 0.35 0.095000 0.08923 0.07102 0.09423 0.14427 0.18992 0.18627 0.12536 0.09920 0.08289
+ 0.35 0.100000 0.09290 0.07334 0.09590 0.14599 0.19220 0.18904 0.12744 0.10114 0.08456
+ 0.35 0.200000 0.16486 0.14230 0.14988 0.20977 0.26847 0.26120 0.17996 0.14534 0.12285
+ 0.35 0.300000 0.15804 0.22232 0.20950 0.25608 0.28858 0.21929 0.10716 0.07277 0.05610
+ 0.35 0.400000 0.19061 0.30642 0.26953 0.30292 0.33223 0.25263 0.12453 0.08497 0.06571
+ 0.35 0.500000 0.22317 0.40054 0.34135 0.35553 0.37893 0.28676 0.14229 0.09729 0.07537
+ 0.35 0.600000 0.25382 0.49785 0.41920 0.40943 0.42562 0.32046 0.15908 0.10886 0.08449
+ 0.35 0.700000 0.27865 0.59419 0.49824 0.45941 0.46375 0.34741 0.17316 0.11854 0.09238
+ 0.35 0.800000 0.31028 0.70053 0.58888 0.53347 0.53366 0.39916 0.18081 0.12247 0.09473
+ 0.35 0.900000 0.31814 0.79884 0.65352 0.56533 0.55119 0.40695 0.18490 0.12503 0.09694
+ 0.35 1.000000 0.34815 0.91065 0.73437 0.62097 0.59989 0.44376 0.20428 0.13853 0.10770
+ 0.35 1.500000 0.48078 1.47486 1.10487 0.87981 0.83774 0.62585 0.28118 0.19330 0.14935
+ 0.35 2.000000 0.60451 2.07254 1.47443 1.12643 1.06175 0.79877 0.35271 0.24483 0.18832
+ 0.35 3.000000 0.82865 2.96729 2.04644 1.55039 1.47979 1.16509 0.61841 0.45331 0.37844
+ 0.35 4.000000 1.04517 4.11661 2.70633 1.99187 1.87318 1.45432 0.74745 0.54173 0.44922
+ 0.35 5.000000 1.24306 5.19072 3.29843 2.38445 2.22243 1.71233 0.86486 0.62337 0.51498
+ 0.35 6.000000 1.43794 6.38330 3.92000 2.78795 2.57659 1.97045 0.98086 0.70341 0.57922
+ 0.35 7.000000 1.64696 7.55349 4.53678 3.20087 2.94705 2.24713 1.11078 0.79467 0.65341
+ 0.35 8.000000 1.86068 8.77196 5.17436 3.62691 3.32672 2.52916 1.24376 0.88833 0.73022
+ 0.35 9.000000 2.08839 10.08597 5.84464 4.07678 3.73283 2.83268 1.38637 0.98937 0.81268
+ 0.35 10.000000 2.30730 11.69977 6.58351 4.54211 4.13635 3.12448 1.51711 1.07979 0.88605
+ 0.35 11.000000 2.52077 13.69970 7.41910 5.03815 4.55482 3.41626 1.63874 1.16239 0.95207
+ 0.35 12.000000 2.73118 15.49434 8.17736 5.50115 4.95192 3.70010 1.75943 1.24513 1.01872
+ 0.35 13.000000 2.94079 17.44983 8.97245 5.97243 5.35194 3.98062 1.87478 1.32370 1.08161
+ 0.35 14.000000 3.15511 19.49187 9.79701 6.46269 5.76466 4.26593 1.99404 1.40493 1.14682
+ 0.35 15.000000 3.36030 21.58349 10.58965 6.92152 6.15236 4.53985 2.10825 1.48389 1.21094
+ 0.67 1.000000 0.54183 1.01170 0.83009 0.74873 0.78222 0.69077 0.41059 0.31530 0.26182
+ 0.67 1.500000 0.69561 1.78157 1.33611 1.11113 1.10205 0.91606 0.48789 0.35728 0.29073
+ 0.67 2.000000 0.83138 2.65397 1.86942 1.46928 1.40470 1.11867 0.55130 0.39032 0.31309
+ 0.67 3.000000 1.00101 4.82063 2.95212 2.13072 1.92985 1.45469 0.62237 0.41799 0.32590
+ 0.67 4.000000 1.14219 6.78628 3.76678 2.59380 2.29748 1.69843 0.69421 0.45921 0.35528
+ 0.67 5.000000 1.24416 7.58494 4.16375 2.85926 2.53219 1.86782 0.75421 0.49684 0.38389
+ 0.67 6.000000 1.39403 8.75121 4.67957 3.18660 2.81560 2.07853 0.84513 0.55806 0.43208
+ 0.67 7.000000 1.55571 10.09297 5.24131 3.53634 3.11621 2.30245 0.94308 0.62447 0.48461
+ 0.67 8.000000 1.72709 11.97097 5.99840 3.98324 3.48326 2.55846 1.04219 0.68933 0.53553
+ 0.67 9.000000 1.91397 14.38206 6.89813 4.49467 3.89442 2.84068 1.14873 0.75860 0.59006
+ 0.67 10.000000 2.12192 17.57736 7.98134 5.08522 4.36056 3.15511 1.26583 0.83463 0.64991
+ 0.67 11.000000 2.28367 19.68009 8.70643 5.49011 4.68840 3.38396 1.35936 0.89788 0.70071
+ 0.67 12.000000 2.45654 22.12591 9.50134 5.92365 5.03663 3.62532 1.45863 0.96521 0.75499
+ 0.67 13.000000 2.62361 24.57179 10.26795 6.33716 5.37213 3.86112 1.55494 1.03093 0.80797
+ 0.67 14.000000 2.77358 26.71243 10.92688 6.69217 5.67149 4.07694 1.64197 1.09067 0.85595
+ 0.67 15.000000 2.91999 28.93339 11.62997 7.07372 5.99083 4.30356 1.73025 1.15054 0.90362
diff --git a/config/opt/SSP/.svn/text-base/Maraston_JC_KRUP_IRHB.txt.svn-base b/config/opt/SSP/.svn/text-base/Maraston_JC_KRUP_IRHB.txt.svn-base
new file mode 100644
index 0000000..40d823a
--- /dev/null
+++ b/config/opt/SSP/.svn/text-base/Maraston_JC_KRUP_IRHB.txt.svn-base
@@ -0,0 +1,303 @@
+##########################################################################################################
+# Kroupa IMF; Intermediate/Red HB at the two lowest metallicity bins
+##########################################################################################################
+ -2.25 1.000000 0.26087 0.22368 0.26087 0.36147 0.44944 0.42519 0.27681 0.19503 0.14576
+ -2.25 1.500000 0.35855 0.31010 0.36360 0.47018 0.56721 0.53121 0.36484 0.27304 0.21285
+ -2.25 2.000000 0.44729 0.38740 0.44680 0.56312 0.67539 0.63305 0.45007 0.35098 0.28178
+ -2.25 3.000000 0.59759 0.54243 0.61696 0.74731 0.89565 0.85188 0.68818 0.62745 0.57261
+ -2.25 4.000000 0.73729 0.68809 0.78315 0.90842 1.06406 0.99432 0.79098 0.71503 0.65086
+ -2.25 5.000000 0.86610 0.82615 0.94863 1.06204 1.22242 1.12787 0.88646 0.79619 0.72313
+ -2.25 6.000000 0.98566 0.96441 1.11486 1.21032 1.37082 1.25020 0.97351 0.86900 0.78766
+ -2.25 7.000000 1.09890 1.09098 1.26992 1.35013 1.51320 1.37056 1.05929 0.94193 0.85274
+ -2.25 8.000000 1.20861 1.21715 1.42595 1.48917 1.65327 1.48766 1.14126 1.01089 0.91383
+ -2.25 9.000000 1.31243 1.34049 1.57639 1.62324 1.78675 1.59847 1.21928 1.07652 0.97182
+ -2.25 10.000000 1.40759 1.44598 1.69966 1.73925 1.90705 1.70154 1.29587 1.14256 1.03039
+ -2.25 11.000000 1.49985 1.55704 1.82331 1.85447 2.02554 1.80227 1.36918 1.20520 1.08588
+ -2.25 12.000000 1.58750 1.66496 1.93965 1.96501 2.14015 1.89935 1.43934 1.26487 1.13837
+ -2.25 13.000000 1.67615 1.77699 2.05914 2.07896 2.25843 1.99897 1.50871 1.32277 1.18939
+ -2.25 14.000000 1.78332 1.89877 2.17687 2.20532 2.39989 2.12536 1.59997 1.40279 1.26134
+ -2.25 15.000000 1.90415 2.00835 2.28686 2.33991 2.55881 2.27279 1.71332 1.50633 1.35519
+ -1.35 0.000001 0.00106 0.00739 0.02191 0.05140 0.09362 0.13877 0.25813 0.37273 0.40603
+ -1.35 0.000100 0.00105 0.00736 0.02181 0.05118 0.09321 0.13817 0.25706 0.37123 0.40439
+ -1.35 0.000200 0.00104 0.00722 0.02145 0.05035 0.09173 0.13604 0.25333 0.36600 0.39877
+ -1.35 0.000400 0.00101 0.00700 0.02082 0.04893 0.08917 0.13229 0.24669 0.35662 0.38876
+ -1.35 0.000600 0.00099 0.00680 0.02028 0.04768 0.08692 0.12901 0.24088 0.34834 0.37991
+ -1.35 0.000800 0.00097 0.00664 0.01981 0.04661 0.08500 0.12619 0.23583 0.34122 0.37225
+ -1.35 0.001000 0.00095 0.00643 0.01924 0.04529 0.08261 0.12271 0.22964 0.33241 0.36281
+ -1.35 0.001500 0.00089 0.00582 0.01751 0.04131 0.07543 0.11220 0.21079 0.30560 0.33398
+ -1.35 0.002000 0.00083 0.00401 0.01230 0.02936 0.05390 0.08070 0.15381 0.22442 0.24664
+ -1.35 0.002500 0.00076 0.00303 0.00929 0.02217 0.04071 0.06099 0.11676 0.17076 0.18796
+ -1.35 0.003000 0.00079 0.00214 0.00582 0.01315 0.02336 0.03362 0.05746 0.08029 0.08555
+ -1.35 0.003500 0.00092 0.00198 0.00478 0.01043 0.01813 0.02553 0.04165 0.05753 0.06065
+ -1.35 0.004000 0.00131 0.00357 0.01014 0.02341 0.04218 0.06180 0.11122 0.15891 0.17174
+ -1.35 0.004500 0.00145 0.00322 0.00816 0.01810 0.03184 0.04540 0.07673 0.10732 0.11411
+ -1.35 0.005000 0.00149 0.00221 0.00417 0.00836 0.01383 0.01825 0.02488 0.03212 0.03261
+ -1.35 0.005500 0.00172 0.00270 0.00526 0.01045 0.01715 0.02238 0.02978 0.03770 0.03800
+ -1.35 0.006000 0.00193 0.00301 0.00615 0.01250 0.02082 0.02768 0.03854 0.04977 0.05067
+ -1.35 0.006500 0.00217 0.00332 0.00720 0.01507 0.02555 0.03480 0.05167 0.06846 0.07064
+ -1.35 0.007000 0.00245 0.00376 0.00869 0.01857 0.03186 0.04414 0.06915 0.09304 0.09689
+ -1.35 0.007500 0.00268 0.00417 0.00994 0.02141 0.03694 0.05148 0.08199 0.11055 0.11538
+ -1.35 0.008000 0.00293 0.00460 0.01124 0.02438 0.04228 0.05921 0.09550 0.12878 0.13459
+ -1.35 0.008500 0.00327 0.00507 0.01242 0.02696 0.04673 0.06535 0.10473 0.13938 0.14496
+ -1.35 0.009000 0.00356 0.00545 0.01336 0.02896 0.05010 0.06984 0.11043 0.14453 0.14939
+ -1.35 0.009500 0.00381 0.00578 0.01409 0.03048 0.05259 0.07297 0.11337 0.14563 0.14943
+ -1.35 0.010000 0.00407 0.00611 0.01483 0.03199 0.05507 0.07608 0.11623 0.14665 0.14947
+ -1.35 0.015000 0.00706 0.00881 0.01877 0.03879 0.06472 0.08589 0.11892 0.14080 0.13952
+ -1.35 0.020000 0.01004 0.01156 0.02422 0.04788 0.07672 0.09658 0.11740 0.12615 0.12140
+ -1.35 0.025000 0.01291 0.01455 0.02820 0.05335 0.08211 0.09821 0.10645 0.10668 0.10079
+ -1.35 0.030000 0.01606 0.01773 0.03351 0.06205 0.09354 0.10888 0.11112 0.10676 0.09981
+ -1.35 0.035000 0.01865 0.01990 0.03664 0.06741 0.10130 0.11741 0.11904 0.11402 0.10628
+ -1.35 0.040000 0.02116 0.02165 0.03860 0.07053 0.10564 0.12192 0.12303 0.11766 0.10929
+ -1.35 0.045000 0.02364 0.02331 0.04041 0.07338 0.10961 0.12603 0.12664 0.12096 0.11200
+ -1.35 0.050000 0.02610 0.02489 0.04208 0.07601 0.11324 0.12978 0.12993 0.12395 0.11446
+ -1.35 0.055000 0.02854 0.02640 0.04365 0.07846 0.11663 0.13326 0.13296 0.12670 0.11673
+ -1.35 0.060000 0.03096 0.02786 0.04513 0.08076 0.11979 0.13650 0.13577 0.12925 0.11881
+ -1.35 0.065000 0.03337 0.02926 0.04653 0.08292 0.12278 0.13954 0.13840 0.13164 0.12075
+ -1.35 0.070000 0.03576 0.03062 0.04786 0.08498 0.12558 0.14239 0.14085 0.13387 0.12256
+ -1.35 0.075000 0.03814 0.03193 0.04913 0.08692 0.12825 0.14510 0.14319 0.13598 0.12426
+ -1.35 0.080000 0.04051 0.03321 0.05034 0.08878 0.13079 0.14768 0.14539 0.13797 0.12587
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+ 0.35 0.005000 0.00390 0.00485 0.01103 0.02215 0.03653 0.04864 0.06861 0.08682 0.08797
+ 0.35 0.005500 0.00414 0.00514 0.00971 0.01668 0.02497 0.03019 0.03488 0.04040 0.03937
+ 0.35 0.006000 0.00460 0.00621 0.01232 0.01913 0.02593 0.02857 0.02615 0.02686 0.02517
+ 0.35 0.006500 0.00503 0.00687 0.01409 0.02179 0.02828 0.02873 0.02162 0.01941 0.01713
+ 0.35 0.007000 0.00530 0.00662 0.01277 0.02180 0.02894 0.02697 0.01754 0.01374 0.01118
+ 0.35 0.007500 0.00573 0.00822 0.01784 0.03060 0.03801 0.02959 0.01517 0.01099 0.00864
+ 0.35 0.008000 0.00619 0.00990 0.02374 0.04089 0.04793 0.03222 0.01366 0.00927 0.00708
+ 0.35 0.008500 0.00694 0.01074 0.02543 0.04396 0.05196 0.03580 0.01565 0.01068 0.00818
+ 0.35 0.009000 0.00762 0.01150 0.02697 0.04676 0.05567 0.03908 0.01748 0.01197 0.00919
+ 0.35 0.009500 0.00824 0.01219 0.02837 0.04934 0.05910 0.04211 0.01917 0.01316 0.01013
+ 0.35 0.010000 0.00888 0.01289 0.02977 0.05192 0.06256 0.04519 0.02092 0.01441 0.01111
+ 0.35 0.015000 0.01595 0.01920 0.04125 0.07475 0.09700 0.07851 0.04100 0.02868 0.02247
+ 0.35 0.020000 0.02190 0.02421 0.04903 0.08706 0.11223 0.09374 0.05245 0.03708 0.02949
+ 0.35 0.025000 0.02905 0.02912 0.05643 0.10013 0.13215 0.11785 0.07192 0.05217 0.04224
+ 0.35 0.030000 0.03560 0.03366 0.06249 0.10869 0.14270 0.13098 0.08420 0.06224 0.05125
+ 0.35 0.035000 0.04046 0.03725 0.06639 0.11365 0.14908 0.13839 0.09023 0.06736 0.05574
+ 0.35 0.040000 0.04500 0.04068 0.06964 0.11741 0.15409 0.14409 0.09435 0.07099 0.05882
+ 0.35 0.045000 0.04943 0.04395 0.07263 0.12081 0.15863 0.14930 0.09814 0.07434 0.06166
+ 0.35 0.050000 0.05374 0.04708 0.07538 0.12393 0.16277 0.15409 0.10162 0.07745 0.06432
+ 0.35 0.055000 0.05796 0.05008 0.07795 0.12679 0.16658 0.15855 0.10487 0.08037 0.06681
+ 0.35 0.060000 0.06210 0.05297 0.08037 0.12945 0.17015 0.16270 0.10791 0.08313 0.06915
+ 0.35 0.065000 0.06616 0.05578 0.08265 0.13195 0.17347 0.16662 0.11079 0.08575 0.07139
+ 0.35 0.070000 0.07014 0.05849 0.08481 0.13428 0.17658 0.17030 0.11351 0.08823 0.07351
+ 0.35 0.075000 0.07408 0.06113 0.08686 0.13649 0.17952 0.17379 0.11610 0.09061 0.07554
+ 0.35 0.080000 0.07794 0.06369 0.08882 0.13858 0.18231 0.17712 0.11856 0.09288 0.07748
+ 0.35 0.085000 0.08176 0.06620 0.09071 0.14058 0.18498 0.18031 0.12093 0.09507 0.07935
+ 0.35 0.090000 0.08552 0.06864 0.09251 0.14247 0.18750 0.18337 0.12320 0.09717 0.08116
+ 0.35 0.095000 0.08923 0.07102 0.09423 0.14427 0.18992 0.18627 0.12536 0.09920 0.08289
+ 0.35 0.100000 0.09290 0.07334 0.09590 0.14599 0.19220 0.18904 0.12744 0.10114 0.08456
+ 0.35 0.200000 0.16486 0.14230 0.14988 0.20977 0.26847 0.26120 0.17996 0.14534 0.12285
+ 0.35 0.300000 0.15804 0.22232 0.20950 0.25608 0.28858 0.21929 0.10716 0.07277 0.05610
+ 0.35 0.400000 0.19061 0.30642 0.26953 0.30292 0.33223 0.25263 0.12453 0.08497 0.06571
+ 0.35 0.500000 0.22317 0.40054 0.34135 0.35553 0.37893 0.28676 0.14229 0.09729 0.07537
+ 0.35 0.600000 0.25382 0.49785 0.41920 0.40943 0.42562 0.32046 0.15908 0.10886 0.08449
+ 0.35 0.700000 0.27865 0.59419 0.49824 0.45941 0.46375 0.34741 0.17316 0.11854 0.09238
+ 0.35 0.800000 0.31028 0.70053 0.58888 0.53347 0.53366 0.39916 0.18081 0.12247 0.09473
+ 0.35 0.900000 0.31814 0.79884 0.65352 0.56533 0.55119 0.40695 0.18490 0.12503 0.09694
+ 0.35 1.000000 0.34815 0.91065 0.73437 0.62097 0.59989 0.44376 0.20428 0.13853 0.10770
+ 0.35 1.500000 0.48078 1.47486 1.10487 0.87981 0.83774 0.62585 0.28118 0.19330 0.14935
+ 0.35 2.000000 0.60451 2.07254 1.47443 1.12643 1.06175 0.79877 0.35271 0.24483 0.18832
+ 0.35 3.000000 0.82865 2.96729 2.04644 1.55039 1.47979 1.16509 0.61841 0.45331 0.37844
+ 0.35 4.000000 1.04517 4.11661 2.70633 1.99187 1.87318 1.45432 0.74745 0.54173 0.44922
+ 0.35 5.000000 1.24306 5.19072 3.29843 2.38445 2.22243 1.71233 0.86486 0.62337 0.51498
+ 0.35 6.000000 1.43794 6.38330 3.92000 2.78795 2.57659 1.97045 0.98086 0.70341 0.57922
+ 0.35 7.000000 1.64696 7.55349 4.53678 3.20087 2.94705 2.24713 1.11078 0.79467 0.65341
+ 0.35 8.000000 1.86068 8.77196 5.17436 3.62691 3.32672 2.52916 1.24376 0.88833 0.73022
+ 0.35 9.000000 2.08839 10.08597 5.84464 4.07678 3.73283 2.83268 1.38637 0.98937 0.81268
+ 0.35 10.000000 2.30730 11.69977 6.58351 4.54211 4.13635 3.12448 1.51711 1.07979 0.88605
+ 0.35 11.000000 2.52077 13.69970 7.41910 5.03815 4.55482 3.41626 1.63874 1.16239 0.95207
+ 0.35 12.000000 2.73118 15.49434 8.17736 5.50115 4.95192 3.70010 1.75943 1.24513 1.01872
+ 0.35 13.000000 2.94079 17.44983 8.97245 5.97243 5.35194 3.98062 1.87478 1.32370 1.08161
+ 0.35 14.000000 3.15511 19.49187 9.79701 6.46269 5.76466 4.26593 1.99404 1.40493 1.14682
+ 0.35 15.000000 3.36030 21.58349 10.58965 6.92152 6.15236 4.53985 2.10825 1.48389 1.21094
+ 0.67 1.000000 0.54183 1.01170 0.83009 0.74873 0.78222 0.69077 0.41059 0.31530 0.26182
+ 0.67 1.500000 0.69561 1.78157 1.33611 1.11113 1.10205 0.91606 0.48789 0.35728 0.29073
+ 0.67 2.000000 0.83138 2.65397 1.86942 1.46928 1.40470 1.11867 0.55130 0.39032 0.31309
+ 0.67 3.000000 1.00101 4.82063 2.95212 2.13072 1.92985 1.45469 0.62237 0.41799 0.32590
+ 0.67 4.000000 1.14219 6.78628 3.76678 2.59380 2.29748 1.69843 0.69421 0.45921 0.35528
+ 0.67 5.000000 1.24416 7.58494 4.16375 2.85926 2.53219 1.86782 0.75421 0.49684 0.38389
+ 0.67 6.000000 1.39403 8.75121 4.67957 3.18660 2.81560 2.07853 0.84513 0.55806 0.43208
+ 0.67 7.000000 1.55571 10.09297 5.24131 3.53634 3.11621 2.30245 0.94308 0.62447 0.48461
+ 0.67 8.000000 1.72709 11.97097 5.99840 3.98324 3.48326 2.55846 1.04219 0.68933 0.53553
+ 0.67 9.000000 1.91397 14.38206 6.89813 4.49467 3.89442 2.84068 1.14873 0.75860 0.59006
+ 0.67 10.000000 2.12192 17.57736 7.98134 5.08522 4.36056 3.15511 1.26583 0.83463 0.64991
+ 0.67 11.000000 2.28367 19.68009 8.70643 5.49011 4.68840 3.38396 1.35936 0.89788 0.70071
+ 0.67 12.000000 2.45654 22.12591 9.50134 5.92365 5.03663 3.62532 1.45863 0.96521 0.75499
+ 0.67 13.000000 2.62361 24.57179 10.26795 6.33716 5.37213 3.86112 1.55494 1.03093 0.80797
+ 0.67 14.000000 2.77358 26.71243 10.92688 6.69217 5.67149 4.07694 1.64197 1.09067 0.85595
+ 0.67 15.000000 2.91999 28.93339 11.62997 7.07372 5.99083 4.30356 1.73025 1.15054 0.90362
diff --git a/config/opt/SSP/.svn/text-base/Maraston_JC_SALP_BHB.txt.svn-base b/config/opt/SSP/.svn/text-base/Maraston_JC_SALP_BHB.txt.svn-base
new file mode 100644
index 0000000..a686b34
--- /dev/null
+++ b/config/opt/SSP/.svn/text-base/Maraston_JC_SALP_BHB.txt.svn-base
@@ -0,0 +1,310 @@
+# STELLAR MASS-TO-LIGHT RATIOS OF SSP MODELS WITH CALIBRATED TP-AGB
+# IN JOHNSON-COUSINS FILTERS
+#
+# References: Maraston 1998, MNRAS, 300, 872; 2005, MNRAS {\it in press}
+##########################################################################################################
+# SALPETER IMF (0.1 -- 100 M_sun)
+##########################################################################################################
+# BLUE HORIZONTAL BRANCH at the two lowest metallicities
+# (Maraston & Thomas 2000; Maraston et al. 2003)
+#[Z/H] t(Gyr) Bol U B V R I J H K
+ -2.25 1.000000 0.40757 0.35062 0.41017 0.56478 0.69991 0.66088 0.43256 0.30665 0.22991
+ -2.25 1.500000 0.56179 0.48813 0.57266 0.73665 0.88621 0.82851 0.57345 0.43337 0.33986
+ -2.25 2.000000 0.69991 0.61128 0.70437 0.88284 1.05488 0.98538 0.70379 0.55320 0.44656
+ -2.25 3.000000 0.93532 0.85906 0.97397 1.17054 1.39375 1.31615 1.05668 0.96043 0.87391
+ -2.25 4.000000 1.15410 1.08845 1.23404 1.42131 1.65535 1.53677 1.21531 1.09680 0.99515
+ -2.25 5.000000 1.35390 1.30972 1.49657 1.66134 1.89976 1.73995 1.35899 1.21825 1.10260
+ -2.25 6.000000 1.53875 1.52299 1.75040 1.88702 2.12548 1.92600 1.49066 1.32928 1.20065
+ -2.25 7.000000 1.71219 1.72387 1.99115 2.10119 2.34134 2.10622 1.61817 1.43769 1.29630
+ -2.25 8.000000 1.87574 1.90853 2.20932 2.30048 2.54577 2.27960 1.74349 1.54575 1.39142
+ -2.25 9.000000 2.03240 2.09472 2.42128 2.49623 2.74413 2.44436 1.86194 1.64621 1.47926
+ -2.25 10.000000 2.17444 2.26610 2.60471 2.67398 2.92846 2.59919 1.97096 1.73812 1.55969
+ -2.25 11.000000 2.31756 2.43700 2.75738 2.84064 3.10782 2.75179 2.07939 1.83002 1.64035
+ -2.25 12.000000 2.44242 2.58665 2.91620 3.01423 3.29107 2.90708 2.18785 1.92157 1.72035
+ -2.25 13.000000 2.57362 2.75755 3.11547 3.20629 3.48372 3.06481 2.29701 2.01188 1.79955
+ -2.25 14.000000 2.73327 2.94805 3.34268 3.42590 3.71274 3.25998 2.43453 2.13076 1.90482
+ -2.25 15.000000 2.90406 3.12223 3.55487 3.64338 3.95061 3.47076 2.59050 2.26999 2.02985
+ -1.35 0.000001 0.00168 0.01131 0.03327 0.07782 0.14151 0.20935 0.38719 0.55775 0.60640
+ -1.35 0.000100 0.00167 0.01125 0.03312 0.07748 0.14092 0.20849 0.38569 0.55565 0.60412
+ -1.35 0.000200 0.00165 0.01106 0.03260 0.07629 0.13880 0.20542 0.38036 0.54813 0.59621
+ -1.35 0.000400 0.00161 0.01072 0.03168 0.07422 0.13507 0.20000 0.37089 0.53481 0.58194
+ -1.35 0.000600 0.00157 0.01043 0.03088 0.07239 0.13179 0.19524 0.36251 0.52307 0.56938
+ -1.35 0.000800 0.00154 0.01018 0.03019 0.07083 0.12898 0.19114 0.35527 0.51277 0.55842
+ -1.35 0.001000 0.00150 0.00988 0.02935 0.06890 0.12551 0.18609 0.34639 0.50017 0.54495
+ -1.35 0.001500 0.00141 0.00896 0.02680 0.06308 0.11503 0.17080 0.31921 0.46179 0.50383
+ -1.35 0.002000 0.00132 0.00629 0.01919 0.04568 0.08378 0.12523 0.23761 0.34600 0.37966
+ -1.35 0.002500 0.00122 0.00482 0.01472 0.03505 0.06429 0.09622 0.18351 0.26793 0.29453
+ -1.35 0.003000 0.00126 0.00344 0.00937 0.02117 0.03763 0.05418 0.09272 0.12961 0.13814
+ -1.35 0.003500 0.00146 0.00318 0.00769 0.01678 0.02920 0.04115 0.06723 0.09290 0.09797
+ -1.35 0.004000 0.00205 0.00559 0.01583 0.03651 0.06577 0.09631 0.17311 0.24720 0.26704
+ -1.35 0.004500 0.00226 0.00505 0.01281 0.02841 0.04999 0.07129 0.12053 0.16856 0.17921
+ -1.35 0.005000 0.00234 0.00349 0.00662 0.01328 0.02201 0.02906 0.03969 0.05128 0.05208
+ -1.35 0.005500 0.00268 0.00425 0.00832 0.01656 0.02719 0.03552 0.04737 0.06003 0.06051
+ -1.35 0.006000 0.00301 0.00472 0.00969 0.01973 0.03287 0.04375 0.06105 0.07889 0.08034
+ -1.35 0.006500 0.00338 0.00520 0.01130 0.02369 0.04018 0.05477 0.08145 0.10798 0.11145
+ -1.35 0.007000 0.00381 0.00588 0.01361 0.02908 0.04992 0.06919 0.10852 0.14605 0.15212
+ -1.35 0.007500 0.00417 0.00651 0.01551 0.03342 0.05769 0.08043 0.12819 0.17289 0.18048
+ -1.35 0.008000 0.00455 0.00717 0.01749 0.03796 0.06585 0.09223 0.14883 0.20077 0.20986
+ -1.35 0.008500 0.00507 0.00788 0.01931 0.04191 0.07265 0.10161 0.16290 0.21695 0.22567
+ -1.35 0.009000 0.00552 0.00847 0.02074 0.04496 0.07780 0.10846 0.17159 0.22480 0.23236
+ -1.35 0.009500 0.00592 0.00897 0.02186 0.04727 0.08159 0.11323 0.17607 0.22641 0.23241
+ -1.35 0.010000 0.00631 0.00947 0.02298 0.04959 0.08537 0.11798 0.18045 0.22797 0.23244
+ -1.35 0.015000 0.01090 0.01362 0.02902 0.05998 0.10013 0.13297 0.18439 0.21865 0.21678
+ -1.35 0.020000 0.01547 0.01819 0.03736 0.07387 0.11849 0.14933 0.18199 0.19593 0.18865
+ -1.35 0.025000 0.01978 0.02230 0.04323 0.08185 0.12612 0.15107 0.16425 0.16490 0.15588
+ -1.35 0.030000 0.02460 0.02715 0.05133 0.09513 0.14361 0.16744 0.17144 0.16504 0.15438
+ -1.35 0.035000 0.02858 0.03048 0.05611 0.10333 0.15546 0.18046 0.18353 0.17609 0.16422
+ -1.35 0.040000 0.03242 0.03316 0.05912 0.10809 0.16209 0.18729 0.18950 0.18152 0.16867
+ -1.35 0.045000 0.03622 0.03571 0.06190 0.11248 0.16815 0.19353 0.19493 0.18644 0.17269
+ -1.35 0.050000 0.04000 0.03814 0.06449 0.11654 0.17377 0.19927 0.19990 0.19094 0.17636
+ -1.35 0.055000 0.04375 0.04048 0.06692 0.12033 0.17898 0.20459 0.20446 0.19506 0.17971
+ -1.35 0.060000 0.04748 0.04272 0.06921 0.12389 0.18387 0.20957 0.20874 0.19892 0.18284
+ -1.35 0.065000 0.05118 0.04488 0.07138 0.12723 0.18845 0.21421 0.21269 0.20247 0.18573
+ -1.35 0.070000 0.05487 0.04698 0.07345 0.13043 0.19280 0.21860 0.21646 0.20584 0.18846
+ -1.35 0.075000 0.05853 0.04902 0.07542 0.13345 0.19692 0.22277 0.21997 0.20901 0.19101
+ -1.35 0.080000 0.06217 0.05099 0.07730 0.13632 0.20084 0.22670 0.22330 0.21200 0.19338
+ -1.35 0.085000 0.06580 0.05291 0.07912 0.13910 0.20460 0.23048 0.22650 0.21486 0.19568
+ -1.35 0.090000 0.06942 0.05479 0.08088 0.14176 0.20821 0.23409 0.22954 0.21758 0.19787
+ -1.35 0.095000 0.07302 0.05661 0.08256 0.14430 0.21165 0.23754 0.23244 0.22016 0.19992
+ -1.35 0.100000 0.07659 0.05838 0.08417 0.14675 0.21495 0.24082 0.23519 0.22262 0.20188
+ -1.35 0.200000 0.13921 0.10208 0.12631 0.20435 0.28828 0.31121 0.29028 0.27434 0.24919
+ -1.35 0.300000 0.15035 0.14309 0.16936 0.23910 0.28783 0.25719 0.14211 0.08908 0.06302
+ -1.35 0.400000 0.19052 0.18215 0.22392 0.29655 0.34234 0.30018 0.16346 0.10181 0.07172
+ -1.35 0.500000 0.22811 0.23002 0.28476 0.35681 0.39789 0.34217 0.18707 0.11822 0.08434
+ -1.35 0.600000 0.26750 0.29482 0.34442 0.40964 0.44883 0.38297 0.21331 0.13763 0.10005
+ -1.35 0.700000 0.29566 0.34460 0.38349 0.43921 0.47827 0.40892 0.23474 0.15568 0.11560
+ -1.35 0.800000 0.33046 0.38877 0.42186 0.47789 0.52193 0.44896 0.26391 0.17816 0.13401
+ -1.35 0.900000 0.36258 0.42846 0.45649 0.51304 0.56176 0.48568 0.29155 0.19992 0.15206
+ -1.35 1.000000 0.39523 0.46671 0.49109 0.54995 0.60396 0.52443 0.31983 0.22192 0.17022
+ -1.35 1.500000 0.54015 0.62069 0.64404 0.71686 0.79519 0.70035 0.45231 0.32824 0.25977
+ -1.35 2.000000 0.67429 0.75991 0.78070 0.86521 0.96659 0.85997 0.57836 0.43327 0.35066
+ -1.35 3.000000 0.94191 1.06466 1.10076 1.18766 1.34391 1.22713 0.93932 0.80148 0.72592
+ -1.35 4.000000 1.17815 1.37926 1.43855 1.48322 1.64076 1.47518 1.11718 0.94529 0.85390
+ -1.35 5.000000 1.39424 1.69088 1.78170 1.76943 1.91935 1.70245 1.27067 1.06511 0.96009
+ -1.35 6.000000 1.60079 1.98527 2.11125 2.04899 2.18988 1.92230 1.42292 1.18528 1.06635
+ -1.35 7.000000 1.79931 2.29533 2.43649 2.31934 2.44886 2.13032 1.56432 1.29612 1.16435
+ -1.35 8.000000 1.98164 2.56305 2.71767 2.56258 2.68929 2.32808 1.70262 1.40759 1.26322
+ -1.35 9.000000 2.18883 2.90188 3.06535 2.85102 2.96674 2.55152 1.85285 1.52588 1.36760
+ -1.35 10.000000 2.32718 3.16807 3.32748 3.05686 3.15555 2.69572 1.94301 1.59175 1.42454
+ -1.35 11.000000 2.45452 3.34503 3.51982 3.22760 3.32384 2.83348 2.03892 1.66925 1.49307
+ -1.35 12.000000 2.61290 3.61812 3.78166 3.45019 3.54032 3.00804 2.15200 1.75713 1.56980
+ -1.35 13.000000 2.75738 3.79656 3.93215 3.62869 3.73930 3.18120 2.27672 1.85811 1.65833
+ -1.35 14.000000 2.90203 4.03239 4.05175 3.82369 3.96281 3.37103 2.40217 1.95273 1.73957
+ -1.35 15.000000 3.08423 4.30184 4.27971 4.07656 4.22994 3.59827 2.56008 2.08360 1.85616
+ -0.33 0.000001 0.00164 0.00839 0.02463 0.05756 0.10466 0.15487 0.28555 0.41073 0.44644
+ -0.33 0.000100 0.00163 0.00829 0.02434 0.05690 0.10350 0.15318 0.28264 0.40671 0.44214
+ -0.33 0.000200 0.00162 0.00810 0.02383 0.05575 0.10143 0.15022 0.27749 0.39954 0.43451
+ -0.33 0.000400 0.00158 0.00768 0.02268 0.05315 0.09681 0.14352 0.26593 0.38332 0.41733
+ -0.33 0.000600 0.00155 0.00726 0.02154 0.05058 0.09221 0.13685 0.25431 0.36708 0.40009
+ -0.33 0.000800 0.00152 0.00676 0.02016 0.04745 0.08663 0.12878 0.24021 0.34731 0.37907
+ -0.33 0.001000 0.00149 0.00607 0.01823 0.04309 0.07884 0.11749 0.22037 0.31945 0.34940
+ -0.33 0.001500 0.00141 0.00598 0.01628 0.03856 0.07062 0.10538 0.19847 0.28829 0.31578
+ -0.33 0.002000 0.00133 0.00678 0.01429 0.03387 0.06208 0.09274 0.17542 0.25527 0.28003
+ -0.33 0.002500 0.00125 0.00866 0.01106 0.02617 0.04795 0.07170 0.13626 0.19888 0.21855
+ -0.33 0.003000 0.00135 0.01053 0.00860 0.01994 0.03613 0.05343 0.09928 0.14383 0.15704
+ -0.33 0.003500 0.00175 0.01027 0.00772 0.01693 0.02961 0.04203 0.06995 0.09707 0.10280
+ -0.33 0.004000 0.00227 0.00771 0.01041 0.02265 0.03930 0.05510 0.08791 0.11811 0.12324
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+ 0.35 4.000000 1.62448 6.47862 4.25640 3.13013 2.93604 2.26507 1.15399 0.83707 0.69337
+ 0.35 5.000000 1.92879 8.17939 5.19231 3.74870 3.48370 2.66367 1.33193 0.96108 0.79316
+ 0.35 6.000000 2.22649 10.06615 6.17367 4.38514 4.03779 3.06100 1.50669 1.08189 0.88982
+ 0.35 7.000000 2.54378 11.91532 7.14605 5.03345 4.61515 3.48422 1.70054 1.21839 1.00061
+ 0.35 8.000000 2.86565 13.83439 8.14779 5.70059 5.20475 3.91273 1.89706 1.35744 1.11429
+ 0.35 9.000000 3.20795 15.91077 9.20219 6.40518 5.83460 4.37251 2.10655 1.50623 1.23541
+ 0.35 10.000000 3.53249 18.45203 10.36297 7.13254 6.45898 4.81198 2.29702 1.63879 1.34253
+ 0.35 11.000000 3.84901 21.59905 11.67440 7.90815 7.10485 5.24994 2.47306 1.75871 1.43799
+ 0.35 12.000000 4.15981 24.42268 12.86333 8.63045 7.71673 5.67327 2.64675 1.87842 1.53417
+ 0.35 13.000000 4.46667 27.49604 14.10685 9.36505 8.33048 6.09018 2.81158 1.99136 1.62417
+ 0.35 14.000000 4.77931 30.70232 15.39895 10.12724 8.96378 6.51285 2.98051 2.10732 1.71700
+ 0.35 15.000000 5.07490 33.97947 16.63630 10.83968 9.55645 6.91539 3.14150 2.21930 1.80741
+ 0.67 1.000000 0.83792 1.56837 1.28707 1.16103 1.21218 1.06819 0.63376 0.48686 0.40451
+ 0.67 1.500000 1.07718 2.76902 2.07609 1.72618 1.71036 1.41790 0.75378 0.55244 0.44995
+ 0.67 2.000000 1.28838 4.13358 2.91024 2.28632 2.18281 1.73307 0.85257 0.60424 0.48521
+ 0.67 3.000000 1.55331 7.53127 4.60713 3.32267 3.00304 2.25444 0.96402 0.64852 0.50639
+ 0.67 4.000000 1.77514 10.63577 5.89408 4.05271 3.58148 2.63433 1.07672 0.71355 0.55297
+ 0.67 5.000000 1.93426 11.92244 6.53027 4.47612 3.95204 2.89815 1.16985 0.77227 0.59765
+ 0.67 6.000000 2.16418 13.76067 7.34072 4.98798 4.39278 3.22138 1.30872 0.86618 0.67187
+ 0.67 7.000000 2.40942 15.85866 8.21507 5.53037 4.85602 3.56076 1.45664 0.96674 0.75174
+ 0.67 8.000000 2.67055 18.80217 9.39735 6.22393 5.42072 3.94871 1.60628 1.06509 0.82928
+ 0.67 9.000000 2.95381 22.57076 10.79771 7.01599 6.05274 4.37479 1.76631 1.16989 0.91206
+ 0.67 10.000000 3.26435 27.51269 12.46555 7.92257 6.76083 4.84362 1.94022 1.28332 1.00197
+ 0.67 11.000000 3.50713 30.79093 13.58843 8.54432 7.25950 5.18398 2.07886 1.37765 1.07800
+ 0.67 12.000000 3.76276 34.55522 14.81146 9.20718 7.78661 5.54072 2.22460 1.47738 1.15881
+ 0.67 13.000000 4.00976 38.32274 15.98601 9.83599 8.29261 5.88640 2.36520 1.57378 1.23694
+ 0.67 14.000000 4.22769 41.59862 16.98871 10.37500 8.73929 6.20056 2.49094 1.66083 1.30739
+ 0.67 15.000000 4.44139 44.98551 18.05928 10.95214 9.21533 6.53097 2.61816 1.74795 1.37711
diff --git a/config/opt/SSP/.svn/text-base/Maraston_JC_SALP_IRHB.txt.svn-base b/config/opt/SSP/.svn/text-base/Maraston_JC_SALP_IRHB.txt.svn-base
new file mode 100644
index 0000000..90162aa
--- /dev/null
+++ b/config/opt/SSP/.svn/text-base/Maraston_JC_SALP_IRHB.txt.svn-base
@@ -0,0 +1,304 @@
+##########################################################################################################
+# INTERMEDIATE/RED HORIZONTAL BRANCH at the two lowest metallicities
+# (Maraston & Thomas 2000; Maraston et al. 2003)
+#
+ -2.25 1.000000 0.40506 0.34885 0.40652 0.56152 0.69650 0.65736 0.42859 0.30283 0.22663
+ -2.25 1.500000 0.55639 0.48455 0.56736 0.73083 0.87898 0.82069 0.56387 0.42315 0.33026
+ -2.25 2.000000 0.69356 0.60612 0.69791 0.87563 1.04617 0.97679 0.69413 0.54255 0.43604
+ -2.25 3.000000 0.92476 0.84985 0.96451 1.16119 1.38441 1.30914 1.05231 0.95787 0.87174
+ -2.25 4.000000 1.13788 1.07857 1.22408 1.40971 1.64168 1.52408 1.20584 1.08825 0.98757
+ -2.25 5.000000 1.33348 1.29568 1.48217 1.64611 1.88234 1.72464 1.34765 1.20842 1.09390
+ -2.25 6.000000 1.51322 1.51237 1.74011 1.87248 2.10600 1.90624 1.47549 1.31504 1.18767
+ -2.25 7.000000 1.68248 1.71027 1.97981 2.08499 2.31923 2.08384 1.60039 1.42097 1.28146
+ -2.25 8.000000 1.84455 1.90660 2.21952 2.29456 2.52685 2.25434 1.71830 1.51991 1.36842
+ -2.25 9.000000 1.99825 2.09916 2.45112 2.49669 2.72524 2.41638 1.83065 1.61408 1.45106
+ -2.25 10.000000 2.13763 2.26360 2.63997 2.67054 2.90188 2.56495 1.93981 1.70796 1.53362
+ -2.25 11.000000 2.27202 2.43566 2.82863 2.84221 3.07593 2.70954 2.04351 1.79629 1.61085
+ -2.25 12.000000 2.39910 2.60314 3.00592 3.00619 3.24263 2.84824 2.14219 1.87991 1.68383
+ -2.25 13.000000 2.52579 2.77487 3.18627 3.17368 3.41258 2.98843 2.23832 1.95994 1.75389
+ -2.25 14.000000 2.67983 2.96356 3.36585 3.36027 3.61755 3.16705 2.36534 2.07116 1.85257
+ -2.25 15.000000 2.85071 3.13144 3.53040 3.55618 3.84365 3.37213 2.52037 2.21200 1.97908
+ -1.35 0.000001 0.00168 0.01131 0.03327 0.07782 0.14151 0.20935 0.38719 0.55775 0.60640
+ -1.35 0.000100 0.00167 0.01125 0.03312 0.07748 0.14092 0.20849 0.38569 0.55565 0.60412
+ -1.35 0.000200 0.00165 0.01106 0.03260 0.07629 0.13880 0.20542 0.38036 0.54813 0.59621
+ -1.35 0.000400 0.00161 0.01072 0.03168 0.07422 0.13507 0.20000 0.37089 0.53481 0.58194
+ -1.35 0.000600 0.00157 0.01043 0.03088 0.07239 0.13179 0.19524 0.36251 0.52307 0.56938
+ -1.35 0.000800 0.00154 0.01018 0.03019 0.07083 0.12898 0.19114 0.35527 0.51277 0.55842
+ -1.35 0.001000 0.00150 0.00988 0.02935 0.06890 0.12551 0.18609 0.34639 0.50017 0.54495
+ -1.35 0.001500 0.00141 0.00896 0.02680 0.06308 0.11503 0.17080 0.31921 0.46179 0.50383
+ -1.35 0.002000 0.00132 0.00629 0.01919 0.04568 0.08378 0.12523 0.23761 0.34600 0.37966
+ -1.35 0.002500 0.00122 0.00482 0.01472 0.03505 0.06429 0.09622 0.18351 0.26793 0.29453
+ -1.35 0.003000 0.00126 0.00344 0.00937 0.02117 0.03763 0.05418 0.09272 0.12961 0.13814
+ -1.35 0.003500 0.00146 0.00318 0.00769 0.01678 0.02920 0.04115 0.06723 0.09290 0.09797
+ -1.35 0.004000 0.00205 0.00559 0.01583 0.03651 0.06577 0.09631 0.17311 0.24720 0.26704
+ -1.35 0.004500 0.00226 0.00505 0.01281 0.02841 0.04999 0.07129 0.12053 0.16856 0.17921
+ -1.35 0.005000 0.00234 0.00349 0.00662 0.01328 0.02201 0.02906 0.03969 0.05128 0.05208
+ -1.35 0.005500 0.00268 0.00425 0.00832 0.01656 0.02719 0.03552 0.04737 0.06003 0.06051
+ -1.35 0.006000 0.00301 0.00472 0.00969 0.01973 0.03287 0.04375 0.06105 0.07889 0.08034
+ -1.35 0.006500 0.00338 0.00520 0.01130 0.02369 0.04018 0.05477 0.08145 0.10798 0.11145
+ -1.35 0.007000 0.00381 0.00588 0.01361 0.02908 0.04992 0.06919 0.10852 0.14605 0.15212
+ -1.35 0.007500 0.00417 0.00651 0.01551 0.03342 0.05769 0.08043 0.12819 0.17289 0.18048
+ -1.35 0.008000 0.00455 0.00717 0.01749 0.03796 0.06585 0.09223 0.14883 0.20077 0.20986
+ -1.35 0.008500 0.00507 0.00788 0.01931 0.04191 0.07265 0.10161 0.16290 0.21695 0.22567
+ -1.35 0.009000 0.00552 0.00847 0.02074 0.04496 0.07780 0.10846 0.17159 0.22480 0.23236
+ -1.35 0.009500 0.00592 0.00897 0.02186 0.04727 0.08159 0.11323 0.17607 0.22641 0.23241
+ -1.35 0.010000 0.00631 0.00947 0.02298 0.04959 0.08537 0.11798 0.18045 0.22797 0.23244
+ -1.35 0.015000 0.01090 0.01362 0.02902 0.05998 0.10013 0.13297 0.18439 0.21865 0.21678
+ -1.35 0.020000 0.01547 0.01819 0.03736 0.07387 0.11849 0.14933 0.18199 0.19593 0.18865
+ -1.35 0.025000 0.01978 0.02230 0.04323 0.08185 0.12612 0.15107 0.16425 0.16490 0.15588
+ -1.35 0.030000 0.02460 0.02715 0.05133 0.09513 0.14361 0.16744 0.17144 0.16504 0.15438
+ -1.35 0.035000 0.02858 0.03048 0.05611 0.10333 0.15546 0.18046 0.18353 0.17609 0.16422
+ -1.35 0.040000 0.03242 0.03316 0.05912 0.10809 0.16209 0.18729 0.18950 0.18152 0.16867
+ -1.35 0.045000 0.03622 0.03571 0.06190 0.11248 0.16815 0.19353 0.19493 0.18644 0.17269
+ -1.35 0.050000 0.04000 0.03814 0.06449 0.11654 0.17377 0.19927 0.19990 0.19094 0.17636
+ -1.35 0.055000 0.04375 0.04048 0.06692 0.12033 0.17898 0.20459 0.20446 0.19506 0.17971
+ -1.35 0.060000 0.04748 0.04272 0.06921 0.12389 0.18387 0.20957 0.20874 0.19892 0.18284
+ -1.35 0.065000 0.05118 0.04488 0.07138 0.12723 0.18845 0.21421 0.21269 0.20247 0.18573
+ -1.35 0.070000 0.05487 0.04698 0.07345 0.13043 0.19280 0.21860 0.21646 0.20584 0.18846
+ -1.35 0.075000 0.05853 0.04902 0.07542 0.13345 0.19692 0.22277 0.21997 0.20901 0.19101
+ -1.35 0.080000 0.06217 0.05099 0.07730 0.13632 0.20084 0.22670 0.22330 0.21200 0.19338
+ -1.35 0.085000 0.06580 0.05291 0.07912 0.13910 0.20460 0.23048 0.22650 0.21486 0.19568
+ -1.35 0.090000 0.06942 0.05479 0.08088 0.14176 0.20821 0.23409 0.22954 0.21758 0.19787
+ -1.35 0.095000 0.07302 0.05661 0.08256 0.14430 0.21165 0.23754 0.23244 0.22016 0.19992
+ -1.35 0.100000 0.07659 0.05838 0.08417 0.14675 0.21495 0.24082 0.23519 0.22262 0.20188
+ -1.35 0.200000 0.13921 0.10208 0.12631 0.20435 0.28828 0.31121 0.29028 0.27434 0.24919
+ -1.35 0.300000 0.15035 0.14309 0.16936 0.23910 0.28783 0.25719 0.14211 0.08908 0.06302
+ -1.35 0.400000 0.19052 0.18215 0.22392 0.29655 0.34234 0.30018 0.16346 0.10181 0.07172
+ -1.35 0.500000 0.22811 0.23002 0.28476 0.35681 0.39789 0.34217 0.18707 0.11822 0.08434
+ -1.35 0.600000 0.26750 0.29482 0.34442 0.40964 0.44883 0.38297 0.21331 0.13763 0.10005
+ -1.35 0.700000 0.29566 0.34460 0.38349 0.43921 0.47827 0.40892 0.23474 0.15568 0.11560
+ -1.35 0.800000 0.33046 0.38877 0.42186 0.47789 0.52193 0.44896 0.26391 0.17816 0.13401
+ -1.35 0.900000 0.36258 0.42846 0.45649 0.51304 0.56176 0.48568 0.29155 0.19992 0.15206
+ -1.35 1.000000 0.39523 0.46671 0.49109 0.54995 0.60396 0.52443 0.31983 0.22192 0.17022
+ -1.35 1.500000 0.54015 0.62069 0.64404 0.71686 0.79519 0.70035 0.45231 0.32824 0.25977
+ -1.35 2.000000 0.67429 0.75991 0.78070 0.86521 0.96659 0.85997 0.57836 0.43327 0.35066
+ -1.35 3.000000 0.94191 1.06466 1.10076 1.18766 1.34391 1.22713 0.93932 0.80148 0.72592
+ -1.35 4.000000 1.17815 1.37926 1.43855 1.48322 1.64076 1.47518 1.11718 0.94529 0.85390
+ -1.35 5.000000 1.39424 1.69088 1.78170 1.76943 1.91935 1.70245 1.27067 1.06511 0.96009
+ -1.35 6.000000 1.58328 1.97215 2.09190 2.02461 2.16322 1.89907 1.40495 1.17063 1.05347
+ -1.35 7.000000 1.77758 2.28815 2.41816 2.29132 2.41727 2.10245 1.54158 1.27704 1.14722
+ -1.35 8.000000 1.95624 2.55527 2.69673 2.53021 2.65288 2.29613 1.67663 1.38573 1.24370
+ -1.35 9.000000 2.15485 2.89361 3.03752 2.80802 2.91823 2.50865 1.81819 1.49623 1.34116
+ -1.35 10.000000 2.30026 3.17128 3.30640 3.01686 3.11254 2.66021 1.91494 1.56919 1.40500
+ -1.35 11.000000 2.42511 3.40346 3.53216 3.19507 3.27944 2.79152 2.00042 1.63516 1.46272
+ -1.35 12.000000 2.56751 3.71880 3.82052 3.40913 3.47251 2.93740 2.09085 1.70186 1.52000
+ -1.35 13.000000 2.70301 3.98502 4.07221 3.60670 3.65688 3.08142 2.18510 1.77431 1.58325
+ -1.35 14.000000 2.84733 4.29223 4.35475 3.82299 3.85588 3.23477 2.28372 1.84928 1.64848
+ -1.35 15.000000 3.00608 4.53163 4.61078 4.05634 4.08784 3.42684 2.42267 1.96523 1.75216
+ -0.33 0.000001 0.00164 0.00839 0.02463 0.05756 0.10466 0.15487 0.28555 0.41073 0.44644
+ -0.33 0.000100 0.00163 0.00829 0.02434 0.05690 0.10350 0.15318 0.28264 0.40671 0.44214
+ -0.33 0.000200 0.00162 0.00810 0.02383 0.05575 0.10143 0.15022 0.27749 0.39954 0.43451
+ -0.33 0.000400 0.00158 0.00768 0.02268 0.05315 0.09681 0.14352 0.26593 0.38332 0.41733
+ -0.33 0.000600 0.00155 0.00726 0.02154 0.05058 0.09221 0.13685 0.25431 0.36708 0.40009
+ -0.33 0.000800 0.00152 0.00676 0.02016 0.04745 0.08663 0.12878 0.24021 0.34731 0.37907
+ -0.33 0.001000 0.00149 0.00607 0.01823 0.04309 0.07884 0.11749 0.22037 0.31945 0.34940
+ -0.33 0.001500 0.00141 0.00598 0.01628 0.03856 0.07062 0.10538 0.19847 0.28829 0.31578
+ -0.33 0.002000 0.00133 0.00678 0.01429 0.03387 0.06208 0.09274 0.17542 0.25527 0.28003
+ -0.33 0.002500 0.00125 0.00866 0.01106 0.02617 0.04795 0.07170 0.13626 0.19888 0.21855
+ -0.33 0.003000 0.00135 0.01053 0.00860 0.01994 0.03613 0.05343 0.09928 0.14383 0.15704
+ -0.33 0.003500 0.00175 0.01027 0.00772 0.01693 0.02961 0.04203 0.06995 0.09707 0.10280
+ -0.33 0.004000 0.00227 0.00771 0.01041 0.02265 0.03930 0.05510 0.08791 0.11811 0.12324
+ -0.33 0.004500 0.00266 0.00632 0.01300 0.02823 0.04887 0.06819 0.10659 0.14100 0.14624
+ -0.33 0.005000 0.00312 0.00562 0.01263 0.02496 0.04039 0.05218 0.06757 0.08184 0.08150
+ -0.33 0.005500 0.00329 0.00613 0.01053 0.02099 0.03435 0.04512 0.06117 0.07718 0.07780
+ -0.33 0.006000 0.00349 0.00643 0.00830 0.01557 0.02476 0.03143 0.03944 0.04865 0.04850
+ -0.33 0.006500 0.00378 0.00613 0.00760 0.01284 0.01914 0.02274 0.02535 0.02938 0.02865
+ -0.33 0.007000 0.00422 0.00583 0.00907 0.01351 0.01832 0.01999 0.01966 0.02080 0.01978
+ -0.33 0.007500 0.00466 0.00719 0.01185 0.01649 0.02117 0.02203 0.01929 0.01893 0.01772
+ -0.33 0.008000 0.00513 0.00865 0.01508 0.01988 0.02426 0.02411 0.01898 0.01731 0.01593
+ -0.33 0.008500 0.00566 0.00964 0.01760 0.02381 0.02781 0.02611 0.01889 0.01574 0.01402
+ -0.33 0.009000 0.00614 0.01049 0.01978 0.02771 0.03186 0.02864 0.01953 0.01525 0.01324
+ -0.33 0.009500 0.00658 0.01124 0.02165 0.03158 0.03642 0.03164 0.02070 0.01542 0.01310
+ -0.33 0.010000 0.00702 0.01201 0.02357 0.03575 0.04135 0.03477 0.02187 0.01559 0.01297
+ -0.33 0.015000 0.01241 0.01606 0.02695 0.04276 0.05759 0.06000 0.05087 0.04498 0.04018
+ -0.33 0.020000 0.01733 0.01799 0.03649 0.07147 0.11026 0.12850 0.12611 0.10860 0.09579
+ -0.33 0.025000 0.02256 0.02339 0.04510 0.08290 0.11861 0.12593 0.10540 0.08345 0.07246
+ -0.33 0.030000 0.02786 0.02779 0.05082 0.09170 0.12974 0.13712 0.11426 0.09100 0.07949
+ -0.33 0.035000 0.03283 0.03179 0.05542 0.09741 0.13676 0.14417 0.11965 0.09677 0.08482
+ -0.33 0.040000 0.03845 0.03636 0.06074 0.10382 0.14457 0.15188 0.12521 0.10292 0.09041
+ -0.33 0.045000 0.04420 0.04092 0.06584 0.10982 0.15184 0.15901 0.13032 0.10865 0.09563
+ -0.33 0.050000 0.05005 0.04547 0.07074 0.11546 0.15861 0.16565 0.13505 0.11401 0.10053
+ -0.33 0.055000 0.05611 0.05010 0.07561 0.12102 0.16527 0.17219 0.13971 0.11931 0.10536
+ -0.33 0.060000 0.06238 0.05482 0.08048 0.12652 0.17189 0.17869 0.14435 0.12457 0.11016
+ -0.33 0.065000 0.06954 0.05972 0.08558 0.13357 0.18136 0.18862 0.15325 0.13264 0.11723
+ -0.33 0.070000 0.07727 0.06495 0.09103 0.14111 0.19150 0.19929 0.16275 0.14126 0.12477
+ -0.33 0.075000 0.08215 0.06821 0.09456 0.14606 0.19809 0.20615 0.16885 0.14676 0.12962
+ -0.33 0.080000 0.08709 0.07146 0.09807 0.15098 0.20465 0.21298 0.17493 0.15224 0.13443
+ -0.33 0.085000 0.09171 0.07466 0.10183 0.15569 0.21031 0.21836 0.17966 0.15645 0.13807
+ -0.33 0.090000 0.09638 0.07788 0.10562 0.16039 0.21599 0.22380 0.18439 0.16066 0.14171
+ -0.33 0.095000 0.10076 0.08101 0.10970 0.16516 0.22110 0.22803 0.18807 0.16382 0.14437
+ -0.33 0.100000 0.10512 0.08411 0.11375 0.16986 0.22612 0.23222 0.19170 0.16693 0.14699
+ -0.33 0.200000 0.18989 0.15504 0.18973 0.26534 0.33767 0.33374 0.26936 0.23159 0.20378
+ -0.33 0.300000 0.20035 0.22505 0.24852 0.30972 0.35472 0.31000 0.20654 0.15119 0.12073
+ -0.33 0.400000 0.24772 0.29457 0.30399 0.36757 0.41345 0.35732 0.21634 0.14758 0.11173
+ -0.33 0.500000 0.29167 0.36833 0.36539 0.42466 0.46946 0.40242 0.23799 0.16050 0.12060
+ -0.33 0.600000 0.33513 0.45422 0.43538 0.49049 0.53131 0.43961 0.24159 0.15982 0.11906
+ -0.33 0.700000 0.36165 0.54903 0.50442 0.53323 0.56042 0.46165 0.25102 0.16492 0.12314
+ -0.33 0.800000 0.39694 0.63290 0.57156 0.58498 0.59987 0.48366 0.23954 0.14530 0.10193
+ -0.33 0.900000 0.43658 0.71978 0.64476 0.64032 0.64923 0.52403 0.25956 0.15673 0.10976
+ -0.33 1.000000 0.41653 0.75180 0.65684 0.61873 0.61532 0.49288 0.24564 0.14948 0.10553
+ -0.33 1.500000 0.60934 1.14459 1.01011 0.89654 0.88416 0.71333 0.38326 0.24561 0.18082
+ -0.33 2.000000 0.79837 1.52475 1.34524 1.16541 1.14699 0.92973 0.52461 0.34888 0.26495
+ -0.33 3.000000 1.14344 2.26914 1.98218 1.70743 1.72497 1.44791 0.96308 0.74511 0.65443
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diff --git a/config/opt/SSP/.svn/text-base/vazdekis_bi_mu1.3.txt.svn-base b/config/opt/SSP/.svn/text-base/vazdekis_bi_mu1.3.txt.svn-base
new file mode 100644
index 0000000..c4ba7d6
--- /dev/null
+++ b/config/opt/SSP/.svn/text-base/vazdekis_bi_mu1.3.txt.svn-base
@@ -0,0 +1,352 @@
+#IMF [M/H] Age U B V R I J H K U-V B-V V-R V-I V-J V-H V-K (M/L)U (M/L)B (M/L)V (M/L)R (M/L)I (M/L)J (M/L)H (M/L)K F439W F555W F675W F814W 439-555 555-675 555-814
+#=========================================================================================================================================================================================================================================================
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diff --git a/config/opt/SSP/.svn/text-base/vazdekis_kb_mu1.3.txt.svn-base b/config/opt/SSP/.svn/text-base/vazdekis_kb_mu1.3.txt.svn-base
new file mode 100644
index 0000000..fce2f06
--- /dev/null
+++ b/config/opt/SSP/.svn/text-base/vazdekis_kb_mu1.3.txt.svn-base
@@ -0,0 +1,352 @@
+#IMF [M/H] Age U B V R I J H K U-V B-V V-R V-I V-J V-H V-K (M/L)U (M/L)B (M/L)V (M/L)R (M/L)I (M/L)J (M/L)H (M/L)K F439W F555W F675W F814W 439-555 555-675 555-814
+#=========================================================================================================================================================================================================================================================
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diff --git a/config/opt/SSP/.svn/text-base/vazdekis_ku_mu1.3.txt.svn-base b/config/opt/SSP/.svn/text-base/vazdekis_ku_mu1.3.txt.svn-base
new file mode 100644
index 0000000..3fbba1b
--- /dev/null
+++ b/config/opt/SSP/.svn/text-base/vazdekis_ku_mu1.3.txt.svn-base
@@ -0,0 +1,352 @@
+#IMF [M/H] Age U B V R I J H K U-V B-V V-R V-I V-J V-H V-K (M/L)U (M/L)B (M/L)V (M/L)R (M/L)I (M/L)J (M/L)H (M/L)K F439W F555W F675W F814W 439-555 555-675 555-814
+#=========================================================================================================================================================================================================================================================
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diff --git a/config/opt/SSP/.svn/text-base/vazdekis_un_mu1.3.txt.svn-base b/config/opt/SSP/.svn/text-base/vazdekis_un_mu1.3.txt.svn-base
new file mode 100644
index 0000000..aa6b7ba
--- /dev/null
+++ b/config/opt/SSP/.svn/text-base/vazdekis_un_mu1.3.txt.svn-base
@@ -0,0 +1,352 @@
+#IMF [M/H] Age U B V R I J H K U-V B-V V-R V-I V-J V-H V-K (M/L)U (M/L)B (M/L)V (M/L)R (M/L)I (M/L)J (M/L)H (M/L)K F439W F555W F675W F814W 439-555 555-675 555-814
+#=========================================================================================================================================================================================================================================================
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+1.30 0.2223 7.9433 9.886 9.215 8.220 7.623 6.990 5.960 5.252 5.033 1.666 0.995 0.597 1.231 2.261 2.968 3.187 13.142 8.197 5.811 4.674 3.474 2.011 1.406 1.213 9.300 8.249 7.525 7.042 1.051 0.724 1.207
+1.30 0.2223 8.9125 10.028 9.326 8.319 7.714 7.075 6.044 5.337 5.120 1.709 1.008 0.604 1.243 2.275 2.981 3.199 14.929 9.057 6.343 5.069 3.747 2.167 1.517 1.309 9.414 8.348 7.617 7.129 1.066 0.731 1.219
+1.30 0.2223 10.0000 10.161 9.433 8.414 7.803 7.158 6.127 5.422 5.206 1.747 1.019 0.611 1.256 2.287 2.992 3.208 16.826 9.965 6.904 5.485 4.032 2.333 1.635 1.414 9.523 8.443 7.705 7.213 1.080 0.738 1.231
+1.30 0.2223 11.2202 10.304 9.542 8.505 7.886 7.232 6.191 5.483 5.266 1.799 1.036 0.620 1.273 2.315 3.022 3.240 19.147 10.982 7.492 5.903 4.306 2.468 1.725 1.490 9.634 8.535 7.787 7.288 1.099 0.748 1.247
+1.30 0.2223 12.5893 10.458 9.658 8.605 7.976 7.314 6.259 5.548 5.329 1.853 1.053 0.629 1.291 2.345 3.056 3.275 22.003 12.190 8.188 6.399 4.630 2.622 1.828 1.576 9.754 8.635 7.877 7.371 1.119 0.758 1.264
+1.30 0.2223 14.1254 10.607 9.771 8.702 8.066 7.397 6.341 5.631 5.413 1.905 1.069 0.637 1.306 2.361 3.072 3.290 25.183 13.495 8.936 6.932 4.986 2.819 1.967 1.697 9.870 8.733 7.967 7.456 1.137 0.766 1.277
+1.30 0.2223 15.8489 10.758 9.891 8.809 8.165 7.486 6.415 5.701 5.481 1.948 1.081 0.645 1.324 2.395 3.108 3.329 28.861 15.034 9.839 7.575 5.397 3.010 2.093 1.802 9.993 8.841 8.066 7.547 1.152 0.775 1.294
+1.30 0.2223 17.7828 10.898 10.005 8.913 8.261 7.573 6.488 5.772 5.550 1.985 1.092 0.652 1.340 2.425 3.141 3.363 32.751 16.656 10.798 8.257 5.834 3.214 2.229 1.916 10.109 8.945 8.162 7.636 1.163 0.783 1.310
diff --git a/config/opt/SSP/Maraston_JC_KRUP_BHB.txt b/config/opt/SSP/Maraston_JC_KRUP_BHB.txt
new file mode 100644
index 0000000..2e62491
--- /dev/null
+++ b/config/opt/SSP/Maraston_JC_KRUP_BHB.txt
@@ -0,0 +1,306 @@
+##########################################################################################################
+# KROUPA IMF (0.1 -- 100 M_sun)
+##########################################################################################################
+# BLUE HORIZONTAL BRANCH at the two lowest metallicities
+# (Maraston & Thomas 2000; Maraston et al. 2003)
+##########################################################################################################
+ -2.25 1.000000 0.26251 0.22482 0.26324 0.36360 0.45172 0.42751 0.27943 0.19751 0.14788
+ -2.25 1.500000 0.36206 0.31242 0.36703 0.47396 0.57193 0.53637 0.37115 0.27976 0.21911
+ -2.25 2.000000 0.45146 0.39073 0.45094 0.56785 0.68108 0.63873 0.45650 0.35800 0.28872
+ -2.25 3.000000 0.60455 0.54830 0.62313 0.75346 0.90178 0.85660 0.69110 0.62919 0.57404
+ -2.25 4.000000 0.74806 0.69433 0.78960 0.91598 1.07322 1.00288 0.79749 0.72085 0.65610
+ -2.25 5.000000 0.87975 0.83510 0.95803 1.07216 1.23407 1.13841 0.89425 0.80297 0.72922
+ -2.25 6.000000 1.00283 0.97118 1.12155 1.21995 1.38376 1.26363 0.98397 0.87890 0.79664
+ -2.25 7.000000 1.11900 1.09976 1.27719 1.36087 1.52805 1.38592 1.07156 0.95362 0.86309
+ -2.25 8.000000 1.22983 1.21861 1.41926 1.49329 1.66611 1.50502 1.15895 1.02911 0.93004
+ -2.25 9.000000 1.33590 1.33765 1.55677 1.62280 1.79947 1.61802 1.24126 1.09917 0.99198
+ -2.25 10.000000 1.43297 1.44784 1.67649 1.74165 1.92505 1.72536 1.31802 1.16402 1.04925
+ -2.25 11.000000 1.53139 1.55805 1.77640 1.85345 2.04767 1.83189 1.39476 1.22942 1.10708
+ -2.25 12.000000 1.61773 1.65426 1.88037 1.97026 2.17352 1.94073 1.47206 1.29469 1.16489
+ -2.25 13.000000 1.70964 1.76557 2.01208 2.10129 2.30763 2.05327 1.55112 1.36059 1.22294
+ -2.25 14.000000 1.82087 1.88865 2.16188 2.25026 2.46622 2.19176 1.65041 1.44648 1.29979
+ -2.25 15.000000 1.94187 2.00225 2.30292 2.39971 2.63414 2.34401 1.76506 1.54938 1.39302
+ -1.35 0.000001 0.00106 0.00739 0.02191 0.05140 0.09362 0.13877 0.25813 0.37273 0.40603
+ -1.35 0.000100 0.00105 0.00736 0.02181 0.05118 0.09321 0.13817 0.25706 0.37123 0.40439
+ -1.35 0.000200 0.00104 0.00722 0.02145 0.05035 0.09173 0.13604 0.25333 0.36600 0.39877
+ -1.35 0.000400 0.00101 0.00700 0.02082 0.04893 0.08917 0.13229 0.24669 0.35662 0.38876
+ -1.35 0.000600 0.00099 0.00680 0.02028 0.04768 0.08692 0.12901 0.24088 0.34834 0.37991
+ -1.35 0.000800 0.00097 0.00664 0.01981 0.04661 0.08500 0.12619 0.23583 0.34122 0.37225
+ -1.35 0.001000 0.00095 0.00643 0.01924 0.04529 0.08261 0.12271 0.22964 0.33241 0.36281
+ -1.35 0.001500 0.00089 0.00582 0.01751 0.04131 0.07543 0.11220 0.21079 0.30560 0.33398
+ -1.35 0.002000 0.00083 0.00401 0.01230 0.02936 0.05390 0.08070 0.15381 0.22442 0.24664
+ -1.35 0.002500 0.00076 0.00303 0.00929 0.02217 0.04071 0.06099 0.11676 0.17076 0.18796
+ -1.35 0.003000 0.00079 0.00214 0.00582 0.01315 0.02336 0.03362 0.05746 0.08029 0.08555
+ -1.35 0.003500 0.00092 0.00198 0.00478 0.01043 0.01813 0.02553 0.04165 0.05753 0.06065
+ -1.35 0.004000 0.00131 0.00357 0.01014 0.02341 0.04218 0.06180 0.11122 0.15891 0.17174
+ -1.35 0.004500 0.00145 0.00322 0.00816 0.01810 0.03184 0.04540 0.07673 0.10732 0.11411
+ -1.35 0.005000 0.00149 0.00221 0.00417 0.00836 0.01383 0.01825 0.02488 0.03212 0.03261
+ -1.35 0.005500 0.00172 0.00270 0.00526 0.01045 0.01715 0.02238 0.02978 0.03770 0.03800
+ -1.35 0.006000 0.00193 0.00301 0.00615 0.01250 0.02082 0.02768 0.03854 0.04977 0.05067
+ -1.35 0.006500 0.00217 0.00332 0.00720 0.01507 0.02555 0.03480 0.05167 0.06846 0.07064
+ -1.35 0.007000 0.00245 0.00376 0.00869 0.01857 0.03186 0.04414 0.06915 0.09304 0.09689
+ -1.35 0.007500 0.00268 0.00417 0.00994 0.02141 0.03694 0.05148 0.08199 0.11055 0.11538
+ -1.35 0.008000 0.00293 0.00460 0.01124 0.02438 0.04228 0.05921 0.09550 0.12878 0.13459
+ -1.35 0.008500 0.00327 0.00507 0.01242 0.02696 0.04673 0.06535 0.10473 0.13938 0.14496
+ -1.35 0.009000 0.00356 0.00545 0.01336 0.02896 0.05010 0.06984 0.11043 0.14453 0.14939
+ -1.35 0.009500 0.00381 0.00578 0.01409 0.03048 0.05259 0.07297 0.11337 0.14563 0.14943
+ -1.35 0.010000 0.00407 0.00611 0.01483 0.03199 0.05507 0.07608 0.11623 0.14665 0.14947
+ -1.35 0.015000 0.00706 0.00881 0.01877 0.03879 0.06472 0.08589 0.11892 0.14080 0.13952
+ -1.35 0.020000 0.01004 0.01156 0.02422 0.04788 0.07672 0.09658 0.11740 0.12615 0.12140
+ -1.35 0.025000 0.01291 0.01455 0.02820 0.05335 0.08211 0.09821 0.10645 0.10668 0.10079
+ -1.35 0.030000 0.01606 0.01773 0.03351 0.06205 0.09354 0.10888 0.11112 0.10676 0.09981
+ -1.35 0.035000 0.01865 0.01990 0.03664 0.06741 0.10130 0.11741 0.11904 0.11402 0.10628
+ -1.35 0.040000 0.02116 0.02165 0.03860 0.07053 0.10564 0.12192 0.12303 0.11766 0.10929
+ -1.35 0.045000 0.02364 0.02331 0.04041 0.07338 0.10961 0.12603 0.12664 0.12096 0.11200
+ -1.35 0.050000 0.02610 0.02489 0.04208 0.07601 0.11324 0.12978 0.12993 0.12395 0.11446
+ -1.35 0.055000 0.02854 0.02640 0.04365 0.07846 0.11663 0.13326 0.13296 0.12670 0.11673
+ -1.35 0.060000 0.03096 0.02786 0.04513 0.08076 0.11979 0.13650 0.13577 0.12925 0.11881
+ -1.35 0.065000 0.03337 0.02926 0.04653 0.08292 0.12278 0.13954 0.13840 0.13164 0.12075
+ -1.35 0.070000 0.03576 0.03062 0.04786 0.08498 0.12558 0.14239 0.14085 0.13387 0.12256
+ -1.35 0.075000 0.03814 0.03193 0.04913 0.08692 0.12825 0.14510 0.14319 0.13598 0.12426
+ -1.35 0.080000 0.04051 0.03321 0.05034 0.08878 0.13079 0.14768 0.14539 0.13797 0.12587
+ -1.35 0.085000 0.04287 0.03445 0.05151 0.09056 0.13321 0.15011 0.14748 0.13986 0.12739
+ -1.35 0.090000 0.04521 0.03565 0.05262 0.09226 0.13554 0.15245 0.14948 0.14166 0.12883
+ -1.35 0.095000 0.04754 0.03682 0.05370 0.09388 0.13774 0.15467 0.15135 0.14336 0.13019
+ -1.35 0.100000 0.04986 0.03797 0.05474 0.09546 0.13988 0.15681 0.15317 0.14499 0.13152
+ -1.35 0.200000 0.09034 0.06618 0.08185 0.13248 0.18703 0.20213 0.18871 0.17843 0.16217
+ -1.35 0.300000 0.09716 0.09253 0.10948 0.15456 0.18607 0.16624 0.09164 0.05736 0.04055
+ -1.35 0.400000 0.12293 0.11752 0.14452 0.19139 0.22094 0.19379 0.10527 0.06547 0.04609
+ -1.35 0.500000 0.14698 0.14813 0.18354 0.22998 0.25648 0.22062 0.12035 0.07594 0.05414
+ -1.35 0.600000 0.17224 0.18979 0.22179 0.26380 0.28911 0.24680 0.13717 0.08838 0.06419
+ -1.35 0.700000 0.19020 0.22156 0.24663 0.28249 0.30776 0.26332 0.15089 0.09991 0.07414
+ -1.35 0.800000 0.21247 0.24964 0.27097 0.30707 0.33561 0.28899 0.16957 0.11432 0.08592
+ -1.35 0.900000 0.23297 0.27481 0.29284 0.32933 0.36094 0.31246 0.18729 0.12824 0.09748
+ -1.35 1.000000 0.25390 0.29909 0.31481 0.35286 0.38798 0.33739 0.20550 0.14239 0.10914
+ -1.35 1.500000 0.34697 0.39661 0.41180 0.45917 0.51047 0.45078 0.29100 0.21093 0.16682
+ -1.35 2.000000 0.43304 0.48457 0.49824 0.55355 0.62024 0.55366 0.37239 0.27869 0.22542
+ -1.35 3.000000 0.60599 0.67736 0.70142 0.75966 0.86342 0.79283 0.60895 0.52055 0.47239
+ -1.35 4.000000 0.75960 0.87647 0.91634 0.94898 1.05540 0.95521 0.72647 0.61577 0.55767
+ -1.35 5.000000 0.90123 1.07419 1.13522 1.13345 1.23697 1.10530 0.82871 0.69599 0.62904
+ -1.35 6.000000 1.03692 1.26011 1.34539 1.31344 1.41348 1.25098 0.93044 0.77662 0.70076
+ -1.35 7.000000 1.16826 1.45655 1.55298 1.48814 1.58331 1.38971 1.02566 0.85170 0.76744
+ -1.35 8.000000 1.28984 1.62641 1.73345 1.64631 1.74193 1.52304 1.11993 0.92792 0.83558
+ -1.35 9.000000 1.42873 1.84160 1.95630 1.83433 1.92627 1.67416 1.22269 1.00915 0.90790
+ -1.35 10.000000 1.52180 2.01084 2.12529 1.96906 2.05181 1.77247 1.28463 1.05472 0.94741
+ -1.35 11.000000 1.60838 2.12354 2.24958 2.08133 2.16482 1.86699 1.35152 1.10882 0.99573
+ -1.35 12.000000 1.71561 2.29657 2.41768 2.22700 2.30951 1.98646 1.42968 1.16993 1.04954
+ -1.35 13.000000 1.81480 2.41060 2.51538 2.34512 2.44436 2.10690 1.51748 1.24144 1.11256
+ -1.35 14.000000 1.91415 2.56098 2.59254 2.47404 2.59565 2.23896 1.60593 1.30848 1.17081
+ -1.35 15.000000 2.04006 2.73278 2.74034 2.64219 2.77769 2.39841 1.71824 1.40192 1.25477
+ -0.33 0.000001 0.00104 0.00546 0.01613 0.03781 0.06886 0.10210 0.18943 0.27325 0.29760
+ -0.33 0.000100 0.00103 0.00538 0.01593 0.03735 0.06805 0.10093 0.18738 0.27040 0.29455
+ -0.33 0.000200 0.00102 0.00526 0.01558 0.03657 0.06663 0.09887 0.18379 0.26539 0.28917
+ -0.33 0.000400 0.00100 0.00497 0.01480 0.03478 0.06345 0.09426 0.17570 0.25396 0.27708
+ -0.33 0.000600 0.00098 0.00470 0.01402 0.03302 0.06029 0.08967 0.16759 0.24257 0.26492
+ -0.33 0.000800 0.00096 0.00436 0.01308 0.03088 0.05646 0.08409 0.15775 0.22871 0.25010
+ -0.33 0.001000 0.00094 0.00389 0.01176 0.02788 0.05108 0.07628 0.14387 0.20912 0.22919
+ -0.33 0.001500 0.00088 0.00345 0.01045 0.02480 0.04548 0.06799 0.12874 0.18745 0.20570
+ -0.33 0.002000 0.00083 0.00299 0.00910 0.02162 0.03968 0.05939 0.11285 0.16461 0.18087
+ -0.33 0.002500 0.00078 0.00229 0.00696 0.01650 0.03026 0.04531 0.08644 0.12640 0.13912
+ -0.33 0.003000 0.00084 0.00181 0.00522 0.01206 0.02183 0.03224 0.05984 0.08668 0.09465
+ -0.33 0.003500 0.00111 0.00193 0.00485 0.01063 0.01858 0.02636 0.04383 0.06083 0.06438
+ -0.33 0.004000 0.00145 0.00260 0.00663 0.01442 0.02500 0.03502 0.05578 0.07488 0.07810
+ -0.33 0.004500 0.00171 0.00318 0.00836 0.01813 0.03137 0.04375 0.06823 0.09017 0.09347
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+ -0.33 0.005500 0.00211 0.00317 0.00672 0.01337 0.02185 0.02867 0.03877 0.04887 0.04924
+ -0.33 0.006000 0.00224 0.00297 0.00527 0.00988 0.01569 0.01990 0.02492 0.03071 0.03060
+ -0.33 0.006500 0.00242 0.00309 0.00482 0.00814 0.01211 0.01437 0.01599 0.01851 0.01805
+ -0.33 0.007000 0.00271 0.00374 0.00578 0.00857 0.01161 0.01265 0.01242 0.01313 0.01248
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+ -0.33 0.015000 0.00803 0.01043 0.01746 0.02758 0.03704 0.03850 0.03254 0.02873 0.02566
+ -0.33 0.020000 0.01123 0.01167 0.02369 0.04638 0.07146 0.08311 0.08121 0.06973 0.06146
+ -0.33 0.025000 0.01462 0.01519 0.02931 0.05381 0.07682 0.08132 0.06774 0.05350 0.04644
+ -0.33 0.030000 0.01807 0.01807 0.03306 0.05957 0.08408 0.08863 0.07353 0.05841 0.05099
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+ -0.33 0.095000 0.04406 0.04071 0.04921 0.06550 0.08154 0.07895 0.05974 0.05013 0.04376
+ -0.33 0.100000 0.04613 0.04245 0.05167 0.06814 0.08433 0.08135 0.06175 0.05183 0.04521
+ -0.33 0.200000 0.08921 0.08414 0.09747 0.12260 0.14675 0.13793 0.10461 0.08728 0.07623
+ -0.33 0.300000 0.09265 0.12688 0.13493 0.15123 0.16266 0.13552 0.08598 0.06151 0.04879
+ -0.33 0.400000 0.11991 0.16844 0.16905 0.18785 0.20051 0.16664 0.09647 0.06448 0.04850
+ -0.33 0.500000 0.14645 0.21309 0.20633 0.22369 0.23707 0.19706 0.11214 0.07428 0.05548
+ -0.33 0.600000 0.17361 0.26687 0.24991 0.26572 0.27763 0.22351 0.11859 0.07728 0.05729
+ -0.33 0.700000 0.19178 0.32725 0.29279 0.29381 0.29947 0.24150 0.12762 0.08277 0.06154
+ -0.33 0.800000 0.21538 0.37977 0.33438 0.32786 0.32762 0.25945 0.12513 0.07505 0.05244
+ -0.33 0.900000 0.24192 0.43473 0.38038 0.36454 0.36179 0.28789 0.13932 0.08326 0.05810
+ -0.33 1.000000 0.26760 0.48303 0.42167 0.39698 0.39483 0.31662 0.15762 0.09578 0.06757
+ -0.33 1.500000 0.39114 0.73280 0.64640 0.57378 0.56637 0.45787 0.24596 0.15741 0.11578
+ -0.33 2.000000 0.51257 0.97384 0.85927 0.74482 0.73412 0.59688 0.33701 0.22379 0.16983
+ -0.33 3.000000 0.73461 1.44384 1.26240 1.08913 1.10346 0.93145 0.62253 0.48190 0.42395
+ -0.33 4.000000 0.92840 1.88265 1.62319 1.37281 1.37712 1.15093 0.75964 0.58448 0.51283
+ -0.33 5.000000 1.11768 2.29621 1.96197 1.64200 1.63943 1.36336 0.89457 0.68696 0.60213
+ -0.33 6.000000 1.29213 2.72067 2.30736 1.91512 1.90228 1.57194 1.02404 0.78306 0.68491
+ -0.33 7.000000 1.45304 3.14663 2.63831 2.16853 2.14173 1.75827 1.13638 0.86522 0.75510
+ -0.33 8.000000 1.60570 3.56004 2.95566 2.40910 2.36774 1.93292 1.24181 0.94227 0.82091
+ -0.33 9.000000 1.74710 4.00525 3.28178 2.64820 2.58744 2.09522 1.33165 1.00385 0.87215
+ -0.33 10.000000 1.89806 4.56707 3.65761 2.90642 2.81759 2.26359 1.42521 1.06944 0.92708
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+ 0.35 11.000000 2.52077 13.69970 7.41910 5.03815 4.55482 3.41626 1.63874 1.16239 0.95207
+ 0.35 12.000000 2.73118 15.49434 8.17736 5.50115 4.95192 3.70010 1.75943 1.24513 1.01872
+ 0.35 13.000000 2.94079 17.44983 8.97245 5.97243 5.35194 3.98062 1.87478 1.32370 1.08161
+ 0.35 14.000000 3.15511 19.49187 9.79701 6.46269 5.76466 4.26593 1.99404 1.40493 1.14682
+ 0.35 15.000000 3.36030 21.58349 10.58965 6.92152 6.15236 4.53985 2.10825 1.48389 1.21094
+ 0.67 1.000000 0.54183 1.01170 0.83009 0.74873 0.78222 0.69077 0.41059 0.31530 0.26182
+ 0.67 1.500000 0.69561 1.78157 1.33611 1.11113 1.10205 0.91606 0.48789 0.35728 0.29073
+ 0.67 2.000000 0.83138 2.65397 1.86942 1.46928 1.40470 1.11867 0.55130 0.39032 0.31309
+ 0.67 3.000000 1.00101 4.82063 2.95212 2.13072 1.92985 1.45469 0.62237 0.41799 0.32590
+ 0.67 4.000000 1.14219 6.78628 3.76678 2.59380 2.29748 1.69843 0.69421 0.45921 0.35528
+ 0.67 5.000000 1.24416 7.58494 4.16375 2.85926 2.53219 1.86782 0.75421 0.49684 0.38389
+ 0.67 6.000000 1.39403 8.75121 4.67957 3.18660 2.81560 2.07853 0.84513 0.55806 0.43208
+ 0.67 7.000000 1.55571 10.09297 5.24131 3.53634 3.11621 2.30245 0.94308 0.62447 0.48461
+ 0.67 8.000000 1.72709 11.97097 5.99840 3.98324 3.48326 2.55846 1.04219 0.68933 0.53553
+ 0.67 9.000000 1.91397 14.38206 6.89813 4.49467 3.89442 2.84068 1.14873 0.75860 0.59006
+ 0.67 10.000000 2.12192 17.57736 7.98134 5.08522 4.36056 3.15511 1.26583 0.83463 0.64991
+ 0.67 11.000000 2.28367 19.68009 8.70643 5.49011 4.68840 3.38396 1.35936 0.89788 0.70071
+ 0.67 12.000000 2.45654 22.12591 9.50134 5.92365 5.03663 3.62532 1.45863 0.96521 0.75499
+ 0.67 13.000000 2.62361 24.57179 10.26795 6.33716 5.37213 3.86112 1.55494 1.03093 0.80797
+ 0.67 14.000000 2.77358 26.71243 10.92688 6.69217 5.67149 4.07694 1.64197 1.09067 0.85595
+ 0.67 15.000000 2.91999 28.93339 11.62997 7.07372 5.99083 4.30356 1.73025 1.15054 0.90362
diff --git a/config/opt/SSP/Maraston_JC_KRUP_IRHB.txt b/config/opt/SSP/Maraston_JC_KRUP_IRHB.txt
new file mode 100644
index 0000000..40d823a
--- /dev/null
+++ b/config/opt/SSP/Maraston_JC_KRUP_IRHB.txt
@@ -0,0 +1,303 @@
+##########################################################################################################
+# Kroupa IMF; Intermediate/Red HB at the two lowest metallicity bins
+##########################################################################################################
+ -2.25 1.000000 0.26087 0.22368 0.26087 0.36147 0.44944 0.42519 0.27681 0.19503 0.14576
+ -2.25 1.500000 0.35855 0.31010 0.36360 0.47018 0.56721 0.53121 0.36484 0.27304 0.21285
+ -2.25 2.000000 0.44729 0.38740 0.44680 0.56312 0.67539 0.63305 0.45007 0.35098 0.28178
+ -2.25 3.000000 0.59759 0.54243 0.61696 0.74731 0.89565 0.85188 0.68818 0.62745 0.57261
+ -2.25 4.000000 0.73729 0.68809 0.78315 0.90842 1.06406 0.99432 0.79098 0.71503 0.65086
+ -2.25 5.000000 0.86610 0.82615 0.94863 1.06204 1.22242 1.12787 0.88646 0.79619 0.72313
+ -2.25 6.000000 0.98566 0.96441 1.11486 1.21032 1.37082 1.25020 0.97351 0.86900 0.78766
+ -2.25 7.000000 1.09890 1.09098 1.26992 1.35013 1.51320 1.37056 1.05929 0.94193 0.85274
+ -2.25 8.000000 1.20861 1.21715 1.42595 1.48917 1.65327 1.48766 1.14126 1.01089 0.91383
+ -2.25 9.000000 1.31243 1.34049 1.57639 1.62324 1.78675 1.59847 1.21928 1.07652 0.97182
+ -2.25 10.000000 1.40759 1.44598 1.69966 1.73925 1.90705 1.70154 1.29587 1.14256 1.03039
+ -2.25 11.000000 1.49985 1.55704 1.82331 1.85447 2.02554 1.80227 1.36918 1.20520 1.08588
+ -2.25 12.000000 1.58750 1.66496 1.93965 1.96501 2.14015 1.89935 1.43934 1.26487 1.13837
+ -2.25 13.000000 1.67615 1.77699 2.05914 2.07896 2.25843 1.99897 1.50871 1.32277 1.18939
+ -2.25 14.000000 1.78332 1.89877 2.17687 2.20532 2.39989 2.12536 1.59997 1.40279 1.26134
+ -2.25 15.000000 1.90415 2.00835 2.28686 2.33991 2.55881 2.27279 1.71332 1.50633 1.35519
+ -1.35 0.000001 0.00106 0.00739 0.02191 0.05140 0.09362 0.13877 0.25813 0.37273 0.40603
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+ 0.00 0.100000 0.07826 0.05908 0.07931 0.12238 0.16640 0.17136 0.13509 0.11273 0.09672
+ 0.00 0.200000 0.14257 0.11736 0.13777 0.19558 0.25170 0.24843 0.18476 0.15185 0.13108
+ 0.00 0.300000 0.16398 0.17246 0.18288 0.23797 0.28335 0.25105 0.15934 0.11874 0.09625
+ 0.00 0.400000 0.18101 0.22635 0.22333 0.27319 0.30760 0.25273 0.14327 0.09961 0.07725
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+ 0.00 0.600000 0.24359 0.34787 0.31970 0.35693 0.38956 0.31835 0.17991 0.12474 0.09653
+ 0.00 0.700000 0.27309 0.40951 0.37152 0.39630 0.42464 0.34466 0.19091 0.12902 0.09733
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+ 0.00 2.000000 0.60613 1.31040 1.09912 0.90817 0.88979 0.72605 0.43797 0.31293 0.25754
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+ 0.00 4.000000 0.96845 2.60889 1.99295 1.57869 1.54332 1.24824 0.75193 0.55511 0.48504
+ 0.00 5.000000 1.15865 3.30892 2.45293 1.90356 1.84249 1.47369 0.87122 0.63810 0.55520
+ 0.00 6.000000 1.32214 3.95832 2.85674 2.18208 2.09716 1.66614 0.97506 0.71133 0.61726
+ 0.00 7.000000 1.50280 4.59173 3.27413 2.48758 2.38285 1.88389 1.09430 0.79575 0.68861
+ 0.00 8.000000 1.69095 5.23179 3.69905 2.80059 2.67627 2.10984 1.22194 0.88775 0.76731
+ 0.00 9.000000 1.88735 6.10247 4.21527 3.15432 2.99602 2.34717 1.34780 0.97568 0.84175
+ 0.00 10.000000 2.08372 6.92109 4.70689 3.49796 3.30990 2.58330 1.47616 1.06693 0.91921
+ 0.00 11.000000 2.27511 7.96939 5.26581 3.86034 3.62965 2.81491 1.59377 1.14811 0.98779
+ 0.00 12.000000 2.46266 9.01576 5.81250 4.21583 3.94278 3.04202 1.70940 1.22812 1.05498
+ 0.00 13.000000 2.64625 10.12005 6.37005 4.57407 4.25581 3.26635 1.82131 1.30492 1.11888
+ 0.00 14.000000 2.83119 11.28566 6.94332 4.93773 4.57348 3.49307 1.93307 1.38168 1.18295
+ 0.00 15.000000 3.03080 12.60747 7.58417 5.34451 4.92525 3.74135 2.05527 1.46510 1.25241
+ 0.35 0.000001 0.00143 0.00517 0.01538 0.03615 0.06605 0.09836 0.18316 0.26492 0.28931
+ 0.35 0.000100 0.00143 0.00511 0.01521 0.03576 0.06535 0.09733 0.18133 0.26237 0.28658
+ 0.35 0.000200 0.00142 0.00502 0.01495 0.03515 0.06425 0.09571 0.17847 0.25834 0.28223
+ 0.35 0.000400 0.00141 0.00483 0.01441 0.03390 0.06200 0.09240 0.17258 0.24997 0.27328
+ 0.35 0.000600 0.00139 0.00467 0.01394 0.03280 0.06000 0.08946 0.16731 0.24250 0.26524
+ 0.35 0.000800 0.00138 0.00450 0.01346 0.03167 0.05795 0.08643 0.16188 0.23477 0.25692
+ 0.35 0.001000 0.00137 0.00432 0.01293 0.03044 0.05571 0.08313 0.15593 0.22630 0.24774
+ 0.35 0.001500 0.00134 0.00333 0.00987 0.02305 0.04205 0.06262 0.11745 0.17071 0.18699
+ 0.35 0.002000 0.00136 0.00300 0.00883 0.02054 0.03744 0.05567 0.10428 0.15157 0.16597
+ 0.35 0.002500 0.00163 0.00292 0.00833 0.01909 0.03457 0.05105 0.09427 0.13636 0.14867
+ 0.35 0.003000 0.00188 0.00284 0.00783 0.01769 0.03172 0.04640 0.08395 0.12055 0.13068
+ 0.35 0.003500 0.00230 0.00294 0.00747 0.01651 0.02910 0.04181 0.07247 0.10246 0.10972
+ 0.35 0.004000 0.00297 0.00388 0.00963 0.02058 0.03538 0.04926 0.07731 0.10307 0.10693
+ 0.35 0.004500 0.00339 0.00443 0.01115 0.02376 0.04076 0.05654 0.08765 0.11550 0.11930
+ 0.35 0.005000 0.00390 0.00485 0.01103 0.02215 0.03653 0.04864 0.06861 0.08682 0.08797
+ 0.35 0.005500 0.00414 0.00514 0.00971 0.01668 0.02497 0.03019 0.03488 0.04040 0.03937
+ 0.35 0.006000 0.00460 0.00621 0.01232 0.01913 0.02593 0.02857 0.02615 0.02686 0.02517
+ 0.35 0.006500 0.00503 0.00687 0.01409 0.02179 0.02828 0.02873 0.02162 0.01941 0.01713
+ 0.35 0.007000 0.00530 0.00662 0.01277 0.02180 0.02894 0.02697 0.01754 0.01374 0.01118
+ 0.35 0.007500 0.00573 0.00822 0.01784 0.03060 0.03801 0.02959 0.01517 0.01099 0.00864
+ 0.35 0.008000 0.00619 0.00990 0.02374 0.04089 0.04793 0.03222 0.01366 0.00927 0.00708
+ 0.35 0.008500 0.00694 0.01074 0.02543 0.04396 0.05196 0.03580 0.01565 0.01068 0.00818
+ 0.35 0.009000 0.00762 0.01150 0.02697 0.04676 0.05567 0.03908 0.01748 0.01197 0.00919
+ 0.35 0.009500 0.00824 0.01219 0.02837 0.04934 0.05910 0.04211 0.01917 0.01316 0.01013
+ 0.35 0.010000 0.00888 0.01289 0.02977 0.05192 0.06256 0.04519 0.02092 0.01441 0.01111
+ 0.35 0.015000 0.01595 0.01920 0.04125 0.07475 0.09700 0.07851 0.04100 0.02868 0.02247
+ 0.35 0.020000 0.02190 0.02421 0.04903 0.08706 0.11223 0.09374 0.05245 0.03708 0.02949
+ 0.35 0.025000 0.02905 0.02912 0.05643 0.10013 0.13215 0.11785 0.07192 0.05217 0.04224
+ 0.35 0.030000 0.03560 0.03366 0.06249 0.10869 0.14270 0.13098 0.08420 0.06224 0.05125
+ 0.35 0.035000 0.04046 0.03725 0.06639 0.11365 0.14908 0.13839 0.09023 0.06736 0.05574
+ 0.35 0.040000 0.04500 0.04068 0.06964 0.11741 0.15409 0.14409 0.09435 0.07099 0.05882
+ 0.35 0.045000 0.04943 0.04395 0.07263 0.12081 0.15863 0.14930 0.09814 0.07434 0.06166
+ 0.35 0.050000 0.05374 0.04708 0.07538 0.12393 0.16277 0.15409 0.10162 0.07745 0.06432
+ 0.35 0.055000 0.05796 0.05008 0.07795 0.12679 0.16658 0.15855 0.10487 0.08037 0.06681
+ 0.35 0.060000 0.06210 0.05297 0.08037 0.12945 0.17015 0.16270 0.10791 0.08313 0.06915
+ 0.35 0.065000 0.06616 0.05578 0.08265 0.13195 0.17347 0.16662 0.11079 0.08575 0.07139
+ 0.35 0.070000 0.07014 0.05849 0.08481 0.13428 0.17658 0.17030 0.11351 0.08823 0.07351
+ 0.35 0.075000 0.07408 0.06113 0.08686 0.13649 0.17952 0.17379 0.11610 0.09061 0.07554
+ 0.35 0.080000 0.07794 0.06369 0.08882 0.13858 0.18231 0.17712 0.11856 0.09288 0.07748
+ 0.35 0.085000 0.08176 0.06620 0.09071 0.14058 0.18498 0.18031 0.12093 0.09507 0.07935
+ 0.35 0.090000 0.08552 0.06864 0.09251 0.14247 0.18750 0.18337 0.12320 0.09717 0.08116
+ 0.35 0.095000 0.08923 0.07102 0.09423 0.14427 0.18992 0.18627 0.12536 0.09920 0.08289
+ 0.35 0.100000 0.09290 0.07334 0.09590 0.14599 0.19220 0.18904 0.12744 0.10114 0.08456
+ 0.35 0.200000 0.16486 0.14230 0.14988 0.20977 0.26847 0.26120 0.17996 0.14534 0.12285
+ 0.35 0.300000 0.15804 0.22232 0.20950 0.25608 0.28858 0.21929 0.10716 0.07277 0.05610
+ 0.35 0.400000 0.19061 0.30642 0.26953 0.30292 0.33223 0.25263 0.12453 0.08497 0.06571
+ 0.35 0.500000 0.22317 0.40054 0.34135 0.35553 0.37893 0.28676 0.14229 0.09729 0.07537
+ 0.35 0.600000 0.25382 0.49785 0.41920 0.40943 0.42562 0.32046 0.15908 0.10886 0.08449
+ 0.35 0.700000 0.27865 0.59419 0.49824 0.45941 0.46375 0.34741 0.17316 0.11854 0.09238
+ 0.35 0.800000 0.31028 0.70053 0.58888 0.53347 0.53366 0.39916 0.18081 0.12247 0.09473
+ 0.35 0.900000 0.31814 0.79884 0.65352 0.56533 0.55119 0.40695 0.18490 0.12503 0.09694
+ 0.35 1.000000 0.34815 0.91065 0.73437 0.62097 0.59989 0.44376 0.20428 0.13853 0.10770
+ 0.35 1.500000 0.48078 1.47486 1.10487 0.87981 0.83774 0.62585 0.28118 0.19330 0.14935
+ 0.35 2.000000 0.60451 2.07254 1.47443 1.12643 1.06175 0.79877 0.35271 0.24483 0.18832
+ 0.35 3.000000 0.82865 2.96729 2.04644 1.55039 1.47979 1.16509 0.61841 0.45331 0.37844
+ 0.35 4.000000 1.04517 4.11661 2.70633 1.99187 1.87318 1.45432 0.74745 0.54173 0.44922
+ 0.35 5.000000 1.24306 5.19072 3.29843 2.38445 2.22243 1.71233 0.86486 0.62337 0.51498
+ 0.35 6.000000 1.43794 6.38330 3.92000 2.78795 2.57659 1.97045 0.98086 0.70341 0.57922
+ 0.35 7.000000 1.64696 7.55349 4.53678 3.20087 2.94705 2.24713 1.11078 0.79467 0.65341
+ 0.35 8.000000 1.86068 8.77196 5.17436 3.62691 3.32672 2.52916 1.24376 0.88833 0.73022
+ 0.35 9.000000 2.08839 10.08597 5.84464 4.07678 3.73283 2.83268 1.38637 0.98937 0.81268
+ 0.35 10.000000 2.30730 11.69977 6.58351 4.54211 4.13635 3.12448 1.51711 1.07979 0.88605
+ 0.35 11.000000 2.52077 13.69970 7.41910 5.03815 4.55482 3.41626 1.63874 1.16239 0.95207
+ 0.35 12.000000 2.73118 15.49434 8.17736 5.50115 4.95192 3.70010 1.75943 1.24513 1.01872
+ 0.35 13.000000 2.94079 17.44983 8.97245 5.97243 5.35194 3.98062 1.87478 1.32370 1.08161
+ 0.35 14.000000 3.15511 19.49187 9.79701 6.46269 5.76466 4.26593 1.99404 1.40493 1.14682
+ 0.35 15.000000 3.36030 21.58349 10.58965 6.92152 6.15236 4.53985 2.10825 1.48389 1.21094
+ 0.67 1.000000 0.54183 1.01170 0.83009 0.74873 0.78222 0.69077 0.41059 0.31530 0.26182
+ 0.67 1.500000 0.69561 1.78157 1.33611 1.11113 1.10205 0.91606 0.48789 0.35728 0.29073
+ 0.67 2.000000 0.83138 2.65397 1.86942 1.46928 1.40470 1.11867 0.55130 0.39032 0.31309
+ 0.67 3.000000 1.00101 4.82063 2.95212 2.13072 1.92985 1.45469 0.62237 0.41799 0.32590
+ 0.67 4.000000 1.14219 6.78628 3.76678 2.59380 2.29748 1.69843 0.69421 0.45921 0.35528
+ 0.67 5.000000 1.24416 7.58494 4.16375 2.85926 2.53219 1.86782 0.75421 0.49684 0.38389
+ 0.67 6.000000 1.39403 8.75121 4.67957 3.18660 2.81560 2.07853 0.84513 0.55806 0.43208
+ 0.67 7.000000 1.55571 10.09297 5.24131 3.53634 3.11621 2.30245 0.94308 0.62447 0.48461
+ 0.67 8.000000 1.72709 11.97097 5.99840 3.98324 3.48326 2.55846 1.04219 0.68933 0.53553
+ 0.67 9.000000 1.91397 14.38206 6.89813 4.49467 3.89442 2.84068 1.14873 0.75860 0.59006
+ 0.67 10.000000 2.12192 17.57736 7.98134 5.08522 4.36056 3.15511 1.26583 0.83463 0.64991
+ 0.67 11.000000 2.28367 19.68009 8.70643 5.49011 4.68840 3.38396 1.35936 0.89788 0.70071
+ 0.67 12.000000 2.45654 22.12591 9.50134 5.92365 5.03663 3.62532 1.45863 0.96521 0.75499
+ 0.67 13.000000 2.62361 24.57179 10.26795 6.33716 5.37213 3.86112 1.55494 1.03093 0.80797
+ 0.67 14.000000 2.77358 26.71243 10.92688 6.69217 5.67149 4.07694 1.64197 1.09067 0.85595
+ 0.67 15.000000 2.91999 28.93339 11.62997 7.07372 5.99083 4.30356 1.73025 1.15054 0.90362
diff --git a/config/opt/SSP/Maraston_JC_SALP_BHB.txt b/config/opt/SSP/Maraston_JC_SALP_BHB.txt
new file mode 100644
index 0000000..a686b34
--- /dev/null
+++ b/config/opt/SSP/Maraston_JC_SALP_BHB.txt
@@ -0,0 +1,310 @@
+# STELLAR MASS-TO-LIGHT RATIOS OF SSP MODELS WITH CALIBRATED TP-AGB
+# IN JOHNSON-COUSINS FILTERS
+#
+# References: Maraston 1998, MNRAS, 300, 872; 2005, MNRAS {\it in press}
+##########################################################################################################
+# SALPETER IMF (0.1 -- 100 M_sun)
+##########################################################################################################
+# BLUE HORIZONTAL BRANCH at the two lowest metallicities
+# (Maraston & Thomas 2000; Maraston et al. 2003)
+#[Z/H] t(Gyr) Bol U B V R I J H K
+ -2.25 1.000000 0.40757 0.35062 0.41017 0.56478 0.69991 0.66088 0.43256 0.30665 0.22991
+ -2.25 1.500000 0.56179 0.48813 0.57266 0.73665 0.88621 0.82851 0.57345 0.43337 0.33986
+ -2.25 2.000000 0.69991 0.61128 0.70437 0.88284 1.05488 0.98538 0.70379 0.55320 0.44656
+ -2.25 3.000000 0.93532 0.85906 0.97397 1.17054 1.39375 1.31615 1.05668 0.96043 0.87391
+ -2.25 4.000000 1.15410 1.08845 1.23404 1.42131 1.65535 1.53677 1.21531 1.09680 0.99515
+ -2.25 5.000000 1.35390 1.30972 1.49657 1.66134 1.89976 1.73995 1.35899 1.21825 1.10260
+ -2.25 6.000000 1.53875 1.52299 1.75040 1.88702 2.12548 1.92600 1.49066 1.32928 1.20065
+ -2.25 7.000000 1.71219 1.72387 1.99115 2.10119 2.34134 2.10622 1.61817 1.43769 1.29630
+ -2.25 8.000000 1.87574 1.90853 2.20932 2.30048 2.54577 2.27960 1.74349 1.54575 1.39142
+ -2.25 9.000000 2.03240 2.09472 2.42128 2.49623 2.74413 2.44436 1.86194 1.64621 1.47926
+ -2.25 10.000000 2.17444 2.26610 2.60471 2.67398 2.92846 2.59919 1.97096 1.73812 1.55969
+ -2.25 11.000000 2.31756 2.43700 2.75738 2.84064 3.10782 2.75179 2.07939 1.83002 1.64035
+ -2.25 12.000000 2.44242 2.58665 2.91620 3.01423 3.29107 2.90708 2.18785 1.92157 1.72035
+ -2.25 13.000000 2.57362 2.75755 3.11547 3.20629 3.48372 3.06481 2.29701 2.01188 1.79955
+ -2.25 14.000000 2.73327 2.94805 3.34268 3.42590 3.71274 3.25998 2.43453 2.13076 1.90482
+ -2.25 15.000000 2.90406 3.12223 3.55487 3.64338 3.95061 3.47076 2.59050 2.26999 2.02985
+ -1.35 0.000001 0.00168 0.01131 0.03327 0.07782 0.14151 0.20935 0.38719 0.55775 0.60640
+ -1.35 0.000100 0.00167 0.01125 0.03312 0.07748 0.14092 0.20849 0.38569 0.55565 0.60412
+ -1.35 0.000200 0.00165 0.01106 0.03260 0.07629 0.13880 0.20542 0.38036 0.54813 0.59621
+ -1.35 0.000400 0.00161 0.01072 0.03168 0.07422 0.13507 0.20000 0.37089 0.53481 0.58194
+ -1.35 0.000600 0.00157 0.01043 0.03088 0.07239 0.13179 0.19524 0.36251 0.52307 0.56938
+ -1.35 0.000800 0.00154 0.01018 0.03019 0.07083 0.12898 0.19114 0.35527 0.51277 0.55842
+ -1.35 0.001000 0.00150 0.00988 0.02935 0.06890 0.12551 0.18609 0.34639 0.50017 0.54495
+ -1.35 0.001500 0.00141 0.00896 0.02680 0.06308 0.11503 0.17080 0.31921 0.46179 0.50383
+ -1.35 0.002000 0.00132 0.00629 0.01919 0.04568 0.08378 0.12523 0.23761 0.34600 0.37966
+ -1.35 0.002500 0.00122 0.00482 0.01472 0.03505 0.06429 0.09622 0.18351 0.26793 0.29453
+ -1.35 0.003000 0.00126 0.00344 0.00937 0.02117 0.03763 0.05418 0.09272 0.12961 0.13814
+ -1.35 0.003500 0.00146 0.00318 0.00769 0.01678 0.02920 0.04115 0.06723 0.09290 0.09797
+ -1.35 0.004000 0.00205 0.00559 0.01583 0.03651 0.06577 0.09631 0.17311 0.24720 0.26704
+ -1.35 0.004500 0.00226 0.00505 0.01281 0.02841 0.04999 0.07129 0.12053 0.16856 0.17921
+ -1.35 0.005000 0.00234 0.00349 0.00662 0.01328 0.02201 0.02906 0.03969 0.05128 0.05208
+ -1.35 0.005500 0.00268 0.00425 0.00832 0.01656 0.02719 0.03552 0.04737 0.06003 0.06051
+ -1.35 0.006000 0.00301 0.00472 0.00969 0.01973 0.03287 0.04375 0.06105 0.07889 0.08034
+ -1.35 0.006500 0.00338 0.00520 0.01130 0.02369 0.04018 0.05477 0.08145 0.10798 0.11145
+ -1.35 0.007000 0.00381 0.00588 0.01361 0.02908 0.04992 0.06919 0.10852 0.14605 0.15212
+ -1.35 0.007500 0.00417 0.00651 0.01551 0.03342 0.05769 0.08043 0.12819 0.17289 0.18048
+ -1.35 0.008000 0.00455 0.00717 0.01749 0.03796 0.06585 0.09223 0.14883 0.20077 0.20986
+ -1.35 0.008500 0.00507 0.00788 0.01931 0.04191 0.07265 0.10161 0.16290 0.21695 0.22567
+ -1.35 0.009000 0.00552 0.00847 0.02074 0.04496 0.07780 0.10846 0.17159 0.22480 0.23236
+ -1.35 0.009500 0.00592 0.00897 0.02186 0.04727 0.08159 0.11323 0.17607 0.22641 0.23241
+ -1.35 0.010000 0.00631 0.00947 0.02298 0.04959 0.08537 0.11798 0.18045 0.22797 0.23244
+ -1.35 0.015000 0.01090 0.01362 0.02902 0.05998 0.10013 0.13297 0.18439 0.21865 0.21678
+ -1.35 0.020000 0.01547 0.01819 0.03736 0.07387 0.11849 0.14933 0.18199 0.19593 0.18865
+ -1.35 0.025000 0.01978 0.02230 0.04323 0.08185 0.12612 0.15107 0.16425 0.16490 0.15588
+ -1.35 0.030000 0.02460 0.02715 0.05133 0.09513 0.14361 0.16744 0.17144 0.16504 0.15438
+ -1.35 0.035000 0.02858 0.03048 0.05611 0.10333 0.15546 0.18046 0.18353 0.17609 0.16422
+ -1.35 0.040000 0.03242 0.03316 0.05912 0.10809 0.16209 0.18729 0.18950 0.18152 0.16867
+ -1.35 0.045000 0.03622 0.03571 0.06190 0.11248 0.16815 0.19353 0.19493 0.18644 0.17269
+ -1.35 0.050000 0.04000 0.03814 0.06449 0.11654 0.17377 0.19927 0.19990 0.19094 0.17636
+ -1.35 0.055000 0.04375 0.04048 0.06692 0.12033 0.17898 0.20459 0.20446 0.19506 0.17971
+ -1.35 0.060000 0.04748 0.04272 0.06921 0.12389 0.18387 0.20957 0.20874 0.19892 0.18284
+ -1.35 0.065000 0.05118 0.04488 0.07138 0.12723 0.18845 0.21421 0.21269 0.20247 0.18573
+ -1.35 0.070000 0.05487 0.04698 0.07345 0.13043 0.19280 0.21860 0.21646 0.20584 0.18846
+ -1.35 0.075000 0.05853 0.04902 0.07542 0.13345 0.19692 0.22277 0.21997 0.20901 0.19101
+ -1.35 0.080000 0.06217 0.05099 0.07730 0.13632 0.20084 0.22670 0.22330 0.21200 0.19338
+ -1.35 0.085000 0.06580 0.05291 0.07912 0.13910 0.20460 0.23048 0.22650 0.21486 0.19568
+ -1.35 0.090000 0.06942 0.05479 0.08088 0.14176 0.20821 0.23409 0.22954 0.21758 0.19787
+ -1.35 0.095000 0.07302 0.05661 0.08256 0.14430 0.21165 0.23754 0.23244 0.22016 0.19992
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+ 0.35 0.006500 0.00523 0.00714 0.01463 0.02263 0.02937 0.02984 0.02246 0.02016 0.01779
+ 0.35 0.007000 0.00552 0.00689 0.01329 0.02269 0.03012 0.02807 0.01825 0.01430 0.01163
+ 0.35 0.007500 0.00597 0.00857 0.01860 0.03190 0.03962 0.03084 0.01582 0.01145 0.00900
+ 0.35 0.008000 0.00646 0.01034 0.02479 0.04270 0.05006 0.03365 0.01427 0.00968 0.00740
+ 0.35 0.008500 0.00726 0.01124 0.02662 0.04602 0.05439 0.03748 0.01638 0.01118 0.00856
+ 0.35 0.009000 0.00798 0.01204 0.02824 0.04897 0.05830 0.04093 0.01830 0.01254 0.00963
+ 0.35 0.009500 0.00862 0.01276 0.02969 0.05164 0.06185 0.04407 0.02006 0.01378 0.01060
+ 0.35 0.010000 0.00929 0.01348 0.03114 0.05430 0.06543 0.04726 0.02188 0.01507 0.01162
+ 0.35 0.015000 0.01683 0.02027 0.04354 0.07890 0.10238 0.08287 0.04328 0.03027 0.02372
+ 0.35 0.020000 0.02325 0.02569 0.05205 0.09241 0.11912 0.09949 0.05568 0.03936 0.03130
+ 0.35 0.025000 0.03102 0.03110 0.06025 0.10691 0.14110 0.12583 0.07680 0.05570 0.04510
+ 0.35 0.030000 0.03815 0.03607 0.06697 0.11648 0.15294 0.14037 0.09024 0.06670 0.05493
+ 0.35 0.035000 0.04479 0.04123 0.07348 0.12587 0.16543 0.15448 0.10198 0.07677 0.06384
+ 0.35 0.040000 0.05192 0.04691 0.08029 0.13563 0.17878 0.16952 0.11422 0.08760 0.07342
+ 0.35 0.045000 0.05914 0.05255 0.08682 0.14484 0.19142 0.18397 0.12621 0.09841 0.08305
+ 0.35 0.050000 0.06644 0.05814 0.09308 0.15360 0.20344 0.19789 0.13798 0.10919 0.09272
+ 0.35 0.055000 0.07382 0.06370 0.09914 0.16199 0.21498 0.21142 0.14959 0.11997 0.10243
+ 0.35 0.060000 0.08126 0.06923 0.10500 0.17000 0.22606 0.22452 0.16101 0.13071 0.11216
+ 0.35 0.065000 0.08875 0.07472 0.11066 0.17773 0.23671 0.23730 0.17227 0.14143 0.12194
+ 0.35 0.070000 0.09631 0.08017 0.11621 0.18520 0.24703 0.24975 0.18341 0.15214 0.13174
+ 0.35 0.075000 0.10391 0.08560 0.12159 0.19242 0.25705 0.26190 0.19440 0.16282 0.14155
+ 0.35 0.080000 0.11157 0.09100 0.12684 0.19943 0.26675 0.27382 0.20528 0.17350 0.15141
+ 0.35 0.085000 0.11928 0.09636 0.13198 0.20621 0.27621 0.28549 0.21605 0.18414 0.16127
+ 0.35 0.090000 0.12702 0.10170 0.13700 0.21284 0.28538 0.29693 0.22670 0.19478 0.17115
+ 0.35 0.095000 0.13480 0.10703 0.14195 0.21931 0.29440 0.30819 0.23728 0.20541 0.18106
+ 0.35 0.100000 0.14262 0.11231 0.14678 0.22561 0.30316 0.31924 0.24774 0.21601 0.19098
+ 0.35 0.200000 0.25372 0.21875 0.23050 0.32547 0.42426 0.43933 0.34571 0.30673 0.27473
+ 0.35 0.300000 0.24438 0.34253 0.32301 0.39520 0.44584 0.33929 0.16601 0.11286 0.08705
+ 0.35 0.400000 0.29509 0.47294 0.41642 0.46848 0.51420 0.39132 0.19306 0.13186 0.10199
+ 0.35 0.500000 0.34593 0.61932 0.52844 0.55095 0.58754 0.44483 0.22080 0.15113 0.11712
+ 0.35 0.600000 0.39370 0.77060 0.64970 0.63520 0.66062 0.49745 0.24694 0.16915 0.13134
+ 0.35 0.700000 0.43257 0.92093 0.77315 0.71368 0.72062 0.53979 0.26895 0.18431 0.14368
+ 0.35 0.800000 0.48188 1.08683 0.91454 0.82925 0.82970 0.62036 0.28104 0.19055 0.14744
+ 0.35 0.900000 0.49459 1.24079 1.01611 0.87987 0.85794 0.63308 0.28759 0.19467 0.15097
+ 0.35 1.000000 0.54128 1.41534 1.14261 0.96698 0.93416 0.69052 0.31770 0.21566 0.16772
+ 0.35 1.500000 0.74806 2.30048 1.72480 1.37398 1.30743 0.97485 0.43734 0.30093 0.23261
+ 0.35 2.000000 0.94093 3.24069 2.30652 1.76229 1.65942 1.24497 0.54853 0.38117 0.29330
+ 0.35 3.000000 1.28938 4.65766 3.21194 2.43225 2.31680 1.81488 0.95642 0.70147 0.58512
+ 0.35 4.000000 1.62448 6.47862 4.25640 3.13013 2.93604 2.26507 1.15399 0.83707 0.69337
+ 0.35 5.000000 1.92879 8.17939 5.19231 3.74870 3.48370 2.66367 1.33193 0.96108 0.79316
+ 0.35 6.000000 2.22649 10.06615 6.17367 4.38514 4.03779 3.06100 1.50669 1.08189 0.88982
+ 0.35 7.000000 2.54378 11.91532 7.14605 5.03345 4.61515 3.48422 1.70054 1.21839 1.00061
+ 0.35 8.000000 2.86565 13.83439 8.14779 5.70059 5.20475 3.91273 1.89706 1.35744 1.11429
+ 0.35 9.000000 3.20795 15.91077 9.20219 6.40518 5.83460 4.37251 2.10655 1.50623 1.23541
+ 0.35 10.000000 3.53249 18.45203 10.36297 7.13254 6.45898 4.81198 2.29702 1.63879 1.34253
+ 0.35 11.000000 3.84901 21.59905 11.67440 7.90815 7.10485 5.24994 2.47306 1.75871 1.43799
+ 0.35 12.000000 4.15981 24.42268 12.86333 8.63045 7.71673 5.67327 2.64675 1.87842 1.53417
+ 0.35 13.000000 4.46667 27.49604 14.10685 9.36505 8.33048 6.09018 2.81158 1.99136 1.62417
+ 0.35 14.000000 4.77931 30.70232 15.39895 10.12724 8.96378 6.51285 2.98051 2.10732 1.71700
+ 0.35 15.000000 5.07490 33.97947 16.63630 10.83968 9.55645 6.91539 3.14150 2.21930 1.80741
+ 0.67 1.000000 0.83792 1.56837 1.28707 1.16103 1.21218 1.06819 0.63376 0.48686 0.40451
+ 0.67 1.500000 1.07718 2.76902 2.07609 1.72618 1.71036 1.41790 0.75378 0.55244 0.44995
+ 0.67 2.000000 1.28838 4.13358 2.91024 2.28632 2.18281 1.73307 0.85257 0.60424 0.48521
+ 0.67 3.000000 1.55331 7.53127 4.60713 3.32267 3.00304 2.25444 0.96402 0.64852 0.50639
+ 0.67 4.000000 1.77514 10.63577 5.89408 4.05271 3.58148 2.63433 1.07672 0.71355 0.55297
+ 0.67 5.000000 1.93426 11.92244 6.53027 4.47612 3.95204 2.89815 1.16985 0.77227 0.59765
+ 0.67 6.000000 2.16418 13.76067 7.34072 4.98798 4.39278 3.22138 1.30872 0.86618 0.67187
+ 0.67 7.000000 2.40942 15.85866 8.21507 5.53037 4.85602 3.56076 1.45664 0.96674 0.75174
+ 0.67 8.000000 2.67055 18.80217 9.39735 6.22393 5.42072 3.94871 1.60628 1.06509 0.82928
+ 0.67 9.000000 2.95381 22.57076 10.79771 7.01599 6.05274 4.37479 1.76631 1.16989 0.91206
+ 0.67 10.000000 3.26435 27.51269 12.46555 7.92257 6.76083 4.84362 1.94022 1.28332 1.00197
+ 0.67 11.000000 3.50713 30.79093 13.58843 8.54432 7.25950 5.18398 2.07886 1.37765 1.07800
+ 0.67 12.000000 3.76276 34.55522 14.81146 9.20718 7.78661 5.54072 2.22460 1.47738 1.15881
+ 0.67 13.000000 4.00976 38.32274 15.98601 9.83599 8.29261 5.88640 2.36520 1.57378 1.23694
+ 0.67 14.000000 4.22769 41.59862 16.98871 10.37500 8.73929 6.20056 2.49094 1.66083 1.30739
+ 0.67 15.000000 4.44139 44.98551 18.05928 10.95214 9.21533 6.53097 2.61816 1.74795 1.37711
diff --git a/config/opt/SSP/Maraston_JC_SALP_IRHB.txt b/config/opt/SSP/Maraston_JC_SALP_IRHB.txt
new file mode 100644
index 0000000..90162aa
--- /dev/null
+++ b/config/opt/SSP/Maraston_JC_SALP_IRHB.txt
@@ -0,0 +1,304 @@
+##########################################################################################################
+# INTERMEDIATE/RED HORIZONTAL BRANCH at the two lowest metallicities
+# (Maraston & Thomas 2000; Maraston et al. 2003)
+#
+ -2.25 1.000000 0.40506 0.34885 0.40652 0.56152 0.69650 0.65736 0.42859 0.30283 0.22663
+ -2.25 1.500000 0.55639 0.48455 0.56736 0.73083 0.87898 0.82069 0.56387 0.42315 0.33026
+ -2.25 2.000000 0.69356 0.60612 0.69791 0.87563 1.04617 0.97679 0.69413 0.54255 0.43604
+ -2.25 3.000000 0.92476 0.84985 0.96451 1.16119 1.38441 1.30914 1.05231 0.95787 0.87174
+ -2.25 4.000000 1.13788 1.07857 1.22408 1.40971 1.64168 1.52408 1.20584 1.08825 0.98757
+ -2.25 5.000000 1.33348 1.29568 1.48217 1.64611 1.88234 1.72464 1.34765 1.20842 1.09390
+ -2.25 6.000000 1.51322 1.51237 1.74011 1.87248 2.10600 1.90624 1.47549 1.31504 1.18767
+ -2.25 7.000000 1.68248 1.71027 1.97981 2.08499 2.31923 2.08384 1.60039 1.42097 1.28146
+ -2.25 8.000000 1.84455 1.90660 2.21952 2.29456 2.52685 2.25434 1.71830 1.51991 1.36842
+ -2.25 9.000000 1.99825 2.09916 2.45112 2.49669 2.72524 2.41638 1.83065 1.61408 1.45106
+ -2.25 10.000000 2.13763 2.26360 2.63997 2.67054 2.90188 2.56495 1.93981 1.70796 1.53362
+ -2.25 11.000000 2.27202 2.43566 2.82863 2.84221 3.07593 2.70954 2.04351 1.79629 1.61085
+ -2.25 12.000000 2.39910 2.60314 3.00592 3.00619 3.24263 2.84824 2.14219 1.87991 1.68383
+ -2.25 13.000000 2.52579 2.77487 3.18627 3.17368 3.41258 2.98843 2.23832 1.95994 1.75389
+ -2.25 14.000000 2.67983 2.96356 3.36585 3.36027 3.61755 3.16705 2.36534 2.07116 1.85257
+ -2.25 15.000000 2.85071 3.13144 3.53040 3.55618 3.84365 3.37213 2.52037 2.21200 1.97908
+ -1.35 0.000001 0.00168 0.01131 0.03327 0.07782 0.14151 0.20935 0.38719 0.55775 0.60640
+ -1.35 0.000100 0.00167 0.01125 0.03312 0.07748 0.14092 0.20849 0.38569 0.55565 0.60412
+ -1.35 0.000200 0.00165 0.01106 0.03260 0.07629 0.13880 0.20542 0.38036 0.54813 0.59621
+ -1.35 0.000400 0.00161 0.01072 0.03168 0.07422 0.13507 0.20000 0.37089 0.53481 0.58194
+ -1.35 0.000600 0.00157 0.01043 0.03088 0.07239 0.13179 0.19524 0.36251 0.52307 0.56938
+ -1.35 0.000800 0.00154 0.01018 0.03019 0.07083 0.12898 0.19114 0.35527 0.51277 0.55842
+ -1.35 0.001000 0.00150 0.00988 0.02935 0.06890 0.12551 0.18609 0.34639 0.50017 0.54495
+ -1.35 0.001500 0.00141 0.00896 0.02680 0.06308 0.11503 0.17080 0.31921 0.46179 0.50383
+ -1.35 0.002000 0.00132 0.00629 0.01919 0.04568 0.08378 0.12523 0.23761 0.34600 0.37966
+ -1.35 0.002500 0.00122 0.00482 0.01472 0.03505 0.06429 0.09622 0.18351 0.26793 0.29453
+ -1.35 0.003000 0.00126 0.00344 0.00937 0.02117 0.03763 0.05418 0.09272 0.12961 0.13814
+ -1.35 0.003500 0.00146 0.00318 0.00769 0.01678 0.02920 0.04115 0.06723 0.09290 0.09797
+ -1.35 0.004000 0.00205 0.00559 0.01583 0.03651 0.06577 0.09631 0.17311 0.24720 0.26704
+ -1.35 0.004500 0.00226 0.00505 0.01281 0.02841 0.04999 0.07129 0.12053 0.16856 0.17921
+ -1.35 0.005000 0.00234 0.00349 0.00662 0.01328 0.02201 0.02906 0.03969 0.05128 0.05208
+ -1.35 0.005500 0.00268 0.00425 0.00832 0.01656 0.02719 0.03552 0.04737 0.06003 0.06051
+ -1.35 0.006000 0.00301 0.00472 0.00969 0.01973 0.03287 0.04375 0.06105 0.07889 0.08034
+ -1.35 0.006500 0.00338 0.00520 0.01130 0.02369 0.04018 0.05477 0.08145 0.10798 0.11145
+ -1.35 0.007000 0.00381 0.00588 0.01361 0.02908 0.04992 0.06919 0.10852 0.14605 0.15212
+ -1.35 0.007500 0.00417 0.00651 0.01551 0.03342 0.05769 0.08043 0.12819 0.17289 0.18048
+ -1.35 0.008000 0.00455 0.00717 0.01749 0.03796 0.06585 0.09223 0.14883 0.20077 0.20986
+ -1.35 0.008500 0.00507 0.00788 0.01931 0.04191 0.07265 0.10161 0.16290 0.21695 0.22567
+ -1.35 0.009000 0.00552 0.00847 0.02074 0.04496 0.07780 0.10846 0.17159 0.22480 0.23236
+ -1.35 0.009500 0.00592 0.00897 0.02186 0.04727 0.08159 0.11323 0.17607 0.22641 0.23241
+ -1.35 0.010000 0.00631 0.00947 0.02298 0.04959 0.08537 0.11798 0.18045 0.22797 0.23244
+ -1.35 0.015000 0.01090 0.01362 0.02902 0.05998 0.10013 0.13297 0.18439 0.21865 0.21678
+ -1.35 0.020000 0.01547 0.01819 0.03736 0.07387 0.11849 0.14933 0.18199 0.19593 0.18865
+ -1.35 0.025000 0.01978 0.02230 0.04323 0.08185 0.12612 0.15107 0.16425 0.16490 0.15588
+ -1.35 0.030000 0.02460 0.02715 0.05133 0.09513 0.14361 0.16744 0.17144 0.16504 0.15438
+ -1.35 0.035000 0.02858 0.03048 0.05611 0.10333 0.15546 0.18046 0.18353 0.17609 0.16422
+ -1.35 0.040000 0.03242 0.03316 0.05912 0.10809 0.16209 0.18729 0.18950 0.18152 0.16867
+ -1.35 0.045000 0.03622 0.03571 0.06190 0.11248 0.16815 0.19353 0.19493 0.18644 0.17269
+ -1.35 0.050000 0.04000 0.03814 0.06449 0.11654 0.17377 0.19927 0.19990 0.19094 0.17636
+ -1.35 0.055000 0.04375 0.04048 0.06692 0.12033 0.17898 0.20459 0.20446 0.19506 0.17971
+ -1.35 0.060000 0.04748 0.04272 0.06921 0.12389 0.18387 0.20957 0.20874 0.19892 0.18284
+ -1.35 0.065000 0.05118 0.04488 0.07138 0.12723 0.18845 0.21421 0.21269 0.20247 0.18573
+ -1.35 0.070000 0.05487 0.04698 0.07345 0.13043 0.19280 0.21860 0.21646 0.20584 0.18846
+ -1.35 0.075000 0.05853 0.04902 0.07542 0.13345 0.19692 0.22277 0.21997 0.20901 0.19101
+ -1.35 0.080000 0.06217 0.05099 0.07730 0.13632 0.20084 0.22670 0.22330 0.21200 0.19338
+ -1.35 0.085000 0.06580 0.05291 0.07912 0.13910 0.20460 0.23048 0.22650 0.21486 0.19568
+ -1.35 0.090000 0.06942 0.05479 0.08088 0.14176 0.20821 0.23409 0.22954 0.21758 0.19787
+ -1.35 0.095000 0.07302 0.05661 0.08256 0.14430 0.21165 0.23754 0.23244 0.22016 0.19992
+ -1.35 0.100000 0.07659 0.05838 0.08417 0.14675 0.21495 0.24082 0.23519 0.22262 0.20188
+ -1.35 0.200000 0.13921 0.10208 0.12631 0.20435 0.28828 0.31121 0.29028 0.27434 0.24919
+ -1.35 0.300000 0.15035 0.14309 0.16936 0.23910 0.28783 0.25719 0.14211 0.08908 0.06302
+ -1.35 0.400000 0.19052 0.18215 0.22392 0.29655 0.34234 0.30018 0.16346 0.10181 0.07172
+ -1.35 0.500000 0.22811 0.23002 0.28476 0.35681 0.39789 0.34217 0.18707 0.11822 0.08434
+ -1.35 0.600000 0.26750 0.29482 0.34442 0.40964 0.44883 0.38297 0.21331 0.13763 0.10005
+ -1.35 0.700000 0.29566 0.34460 0.38349 0.43921 0.47827 0.40892 0.23474 0.15568 0.11560
+ -1.35 0.800000 0.33046 0.38877 0.42186 0.47789 0.52193 0.44896 0.26391 0.17816 0.13401
+ -1.35 0.900000 0.36258 0.42846 0.45649 0.51304 0.56176 0.48568 0.29155 0.19992 0.15206
+ -1.35 1.000000 0.39523 0.46671 0.49109 0.54995 0.60396 0.52443 0.31983 0.22192 0.17022
+ -1.35 1.500000 0.54015 0.62069 0.64404 0.71686 0.79519 0.70035 0.45231 0.32824 0.25977
+ -1.35 2.000000 0.67429 0.75991 0.78070 0.86521 0.96659 0.85997 0.57836 0.43327 0.35066
+ -1.35 3.000000 0.94191 1.06466 1.10076 1.18766 1.34391 1.22713 0.93932 0.80148 0.72592
+ -1.35 4.000000 1.17815 1.37926 1.43855 1.48322 1.64076 1.47518 1.11718 0.94529 0.85390
+ -1.35 5.000000 1.39424 1.69088 1.78170 1.76943 1.91935 1.70245 1.27067 1.06511 0.96009
+ -1.35 6.000000 1.58328 1.97215 2.09190 2.02461 2.16322 1.89907 1.40495 1.17063 1.05347
+ -1.35 7.000000 1.77758 2.28815 2.41816 2.29132 2.41727 2.10245 1.54158 1.27704 1.14722
+ -1.35 8.000000 1.95624 2.55527 2.69673 2.53021 2.65288 2.29613 1.67663 1.38573 1.24370
+ -1.35 9.000000 2.15485 2.89361 3.03752 2.80802 2.91823 2.50865 1.81819 1.49623 1.34116
+ -1.35 10.000000 2.30026 3.17128 3.30640 3.01686 3.11254 2.66021 1.91494 1.56919 1.40500
+ -1.35 11.000000 2.42511 3.40346 3.53216 3.19507 3.27944 2.79152 2.00042 1.63516 1.46272
+ -1.35 12.000000 2.56751 3.71880 3.82052 3.40913 3.47251 2.93740 2.09085 1.70186 1.52000
+ -1.35 13.000000 2.70301 3.98502 4.07221 3.60670 3.65688 3.08142 2.18510 1.77431 1.58325
+ -1.35 14.000000 2.84733 4.29223 4.35475 3.82299 3.85588 3.23477 2.28372 1.84928 1.64848
+ -1.35 15.000000 3.00608 4.53163 4.61078 4.05634 4.08784 3.42684 2.42267 1.96523 1.75216
+ -0.33 0.000001 0.00164 0.00839 0.02463 0.05756 0.10466 0.15487 0.28555 0.41073 0.44644
+ -0.33 0.000100 0.00163 0.00829 0.02434 0.05690 0.10350 0.15318 0.28264 0.40671 0.44214
+ -0.33 0.000200 0.00162 0.00810 0.02383 0.05575 0.10143 0.15022 0.27749 0.39954 0.43451
+ -0.33 0.000400 0.00158 0.00768 0.02268 0.05315 0.09681 0.14352 0.26593 0.38332 0.41733
+ -0.33 0.000600 0.00155 0.00726 0.02154 0.05058 0.09221 0.13685 0.25431 0.36708 0.40009
+ -0.33 0.000800 0.00152 0.00676 0.02016 0.04745 0.08663 0.12878 0.24021 0.34731 0.37907
+ -0.33 0.001000 0.00149 0.00607 0.01823 0.04309 0.07884 0.11749 0.22037 0.31945 0.34940
+ -0.33 0.001500 0.00141 0.00598 0.01628 0.03856 0.07062 0.10538 0.19847 0.28829 0.31578
+ -0.33 0.002000 0.00133 0.00678 0.01429 0.03387 0.06208 0.09274 0.17542 0.25527 0.28003
+ -0.33 0.002500 0.00125 0.00866 0.01106 0.02617 0.04795 0.07170 0.13626 0.19888 0.21855
+ -0.33 0.003000 0.00135 0.01053 0.00860 0.01994 0.03613 0.05343 0.09928 0.14383 0.15704
+ -0.33 0.003500 0.00175 0.01027 0.00772 0.01693 0.02961 0.04203 0.06995 0.09707 0.10280
+ -0.33 0.004000 0.00227 0.00771 0.01041 0.02265 0.03930 0.05510 0.08791 0.11811 0.12324
+ -0.33 0.004500 0.00266 0.00632 0.01300 0.02823 0.04887 0.06819 0.10659 0.14100 0.14624
+ -0.33 0.005000 0.00312 0.00562 0.01263 0.02496 0.04039 0.05218 0.06757 0.08184 0.08150
+ -0.33 0.005500 0.00329 0.00613 0.01053 0.02099 0.03435 0.04512 0.06117 0.07718 0.07780
+ -0.33 0.006000 0.00349 0.00643 0.00830 0.01557 0.02476 0.03143 0.03944 0.04865 0.04850
+ -0.33 0.006500 0.00378 0.00613 0.00760 0.01284 0.01914 0.02274 0.02535 0.02938 0.02865
+ -0.33 0.007000 0.00422 0.00583 0.00907 0.01351 0.01832 0.01999 0.01966 0.02080 0.01978
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+ 0.35 10.000000 3.53249 18.45203 10.36297 7.13254 6.45898 4.81198 2.29702 1.63879 1.34253
+ 0.35 11.000000 3.84901 21.59905 11.67440 7.90815 7.10485 5.24994 2.47306 1.75871 1.43799
+ 0.35 12.000000 4.15981 24.42268 12.86333 8.63045 7.71673 5.67327 2.64675 1.87842 1.53417
+ 0.35 13.000000 4.46667 27.49604 14.10685 9.36505 8.33048 6.09018 2.81158 1.99136 1.62417
+ 0.35 14.000000 4.77931 30.70232 15.39895 10.12724 8.96378 6.51285 2.98051 2.10732 1.71700
+ 0.35 15.000000 5.07490 33.97947 16.63630 10.83968 9.55645 6.91539 3.14150 2.21930 1.80741
+ 0.67 1.000000 0.83792 1.56837 1.28707 1.16103 1.21218 1.06819 0.63376 0.48686 0.40451
+ 0.67 1.500000 1.07718 2.76902 2.07609 1.72618 1.71036 1.41790 0.75378 0.55244 0.44995
+ 0.67 2.000000 1.28838 4.13358 2.91024 2.28632 2.18281 1.73307 0.85257 0.60424 0.48521
+ 0.67 3.000000 1.55331 7.53127 4.60713 3.32267 3.00304 2.25444 0.96402 0.64852 0.50639
+ 0.67 4.000000 1.77514 10.63577 5.89408 4.05271 3.58148 2.63433 1.07672 0.71355 0.55297
+ 0.67 5.000000 1.93426 11.92244 6.53027 4.47612 3.95204 2.89815 1.16985 0.77227 0.59765
+ 0.67 6.000000 2.16418 13.76067 7.34072 4.98798 4.39278 3.22138 1.30872 0.86618 0.67187
+ 0.67 7.000000 2.40942 15.85866 8.21507 5.53037 4.85602 3.56076 1.45664 0.96674 0.75174
+ 0.67 8.000000 2.67055 18.80217 9.39735 6.22393 5.42072 3.94871 1.60628 1.06509 0.82928
+ 0.67 9.000000 2.95381 22.57076 10.79771 7.01599 6.05274 4.37479 1.76631 1.16989 0.91206
+ 0.67 10.000000 3.26435 27.51269 12.46555 7.92257 6.76083 4.84362 1.94022 1.28332 1.00197
+ 0.67 11.000000 3.50713 30.79093 13.58843 8.54432 7.25950 5.18398 2.07886 1.37765 1.07800
+ 0.67 12.000000 3.76276 34.55522 14.81146 9.20718 7.78661 5.54072 2.22460 1.47738 1.15881
+ 0.67 13.000000 4.00976 38.32274 15.98601 9.83599 8.29261 5.88640 2.36520 1.57378 1.23694
+ 0.67 14.000000 4.22769 41.59862 16.98871 10.37500 8.73929 6.20056 2.49094 1.66083 1.30739
+ 0.67 15.000000 4.44139 44.98551 18.05928 10.95214 9.21533 6.53097 2.61816 1.74795 1.37711
diff --git a/config/opt/SSP/P94_salpeter/.svn/all-wcprops b/config/opt/SSP/P94_salpeter/.svn/all-wcprops
new file mode 100644
index 0000000..f4f5944
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/all-wcprops
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+K 25
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+V 50
+/svn/pnbody/!svn/ver/2/config/opt/SSP/P94_salpeter
+END
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+K 25
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+V 80
+/svn/pnbody/!svn/ver/2/config/opt/SSP/P94_salpeter/bc2003_hr_m22_salp_ssp.1color
+END
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+K 25
+svn:wc:ra_dav:version-url
+V 80
+/svn/pnbody/!svn/ver/2/config/opt/SSP/P94_salpeter/bc2003_hr_m32_salp_ssp.1color
+END
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+K 25
+svn:wc:ra_dav:version-url
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+/svn/pnbody/!svn/ver/2/config/opt/SSP/P94_salpeter/bc2003_hr_m42_salp_ssp.1color
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+K 25
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+V 80
+/svn/pnbody/!svn/ver/2/config/opt/SSP/P94_salpeter/bc2003_hr_m52_salp_ssp.1color
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+K 25
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+/svn/pnbody/!svn/ver/2/config/opt/SSP/P94_salpeter/bc2003_hr_m62_salp_ssp.1color
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+END
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+svn:wc:ra_dav:version-url
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+/svn/pnbody/!svn/ver/2/config/opt/SSP/P94_salpeter/bc2003_lr_m32_salp_ssp.1color
+END
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+K 25
+svn:wc:ra_dav:version-url
+V 80
+/svn/pnbody/!svn/ver/2/config/opt/SSP/P94_salpeter/bc2003_lr_m42_salp_ssp.1color
+END
+bc2003_lr_m52_salp_ssp.1color
+K 25
+svn:wc:ra_dav:version-url
+V 80
+/svn/pnbody/!svn/ver/2/config/opt/SSP/P94_salpeter/bc2003_lr_m52_salp_ssp.1color
+END
+bc2003_lr_m62_salp_ssp.1color
+K 25
+svn:wc:ra_dav:version-url
+V 80
+/svn/pnbody/!svn/ver/2/config/opt/SSP/P94_salpeter/bc2003_lr_m62_salp_ssp.1color
+END
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+K 25
+svn:wc:ra_dav:version-url
+V 80
+/svn/pnbody/!svn/ver/2/config/opt/SSP/P94_salpeter/bc2003_lr_m72_salp_ssp.1color
+END
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new file mode 100644
index 0000000..df66f37
--- /dev/null
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diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m22_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m22_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..ee0a394
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m22_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:06:24 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m22_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.7696, Y=0.2303, Z=0.0001 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
+ 5.150001 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
+ 5.199999 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
+ 5.250000 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
+ 5.300002 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
+ 5.350002 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
+ 5.400001 -2.1598 0.8220 1.9264 2.2359 3.0134 -4.8767 -3.8749 -3.3288 -2.7484 -1.0909 -0.3432 -0.1728 -1.1045 -0.3095
+ 5.450001 -2.1598 0.8220 1.9264 2.2359 3.0134 -4.8767 -3.8749 -3.3288 -2.7484 -1.0909 -0.3432 -0.1728 -1.1045 -0.3095
+ 5.500002 -2.1598 0.8220 1.9264 2.2359 3.0134 -4.8767 -3.8749 -3.3288 -2.7484 -1.0909 -0.3432 -0.1728 -1.1045 -0.3095
+ 5.550002 -2.1598 0.8220 1.9264 2.2359 3.0134 -4.8767 -3.8749 -3.3288 -2.7484 -1.0909 -0.3432 -0.1728 -1.1045 -0.3095
+ 5.600002 -2.1497 0.8290 1.9329 2.2422 3.0181 -4.8777 -3.8752 -3.3287 -2.7479 -1.0903 -0.3428 -0.1723 -1.1039 -0.3093
+ 5.650002 -2.1514 0.8298 1.9335 2.2427 3.0183 -4.8788 -3.8758 -3.3289 -2.7478 -1.0902 -0.3426 -0.1722 -1.1038 -0.3092
+ 5.700002 -2.1524 0.8304 1.9339 2.2429 3.0179 -4.8800 -3.8764 -3.3290 -2.7475 -1.0899 -0.3424 -0.1720 -1.1035 -0.3089
+ 5.750002 -2.1557 0.8312 1.9345 2.2432 3.0177 -4.8819 -3.8775 -3.3293 -2.7472 -1.0897 -0.3421 -0.1718 -1.1033 -0.3087
+ 5.800003 -2.1598 0.8316 1.9346 2.2430 3.0168 -4.8843 -3.8787 -3.3297 -2.7468 -1.0893 -0.3418 -0.1716 -1.1030 -0.3084
+ 5.850003 -2.1741 0.8250 1.9273 2.2348 3.0076 -4.8882 -3.8805 -3.3296 -2.7452 -1.0885 -0.3408 -0.1712 -1.1023 -0.3075
+ 5.900003 -2.1804 0.8268 1.9285 2.2353 3.0066 -4.8928 -3.8830 -3.3302 -2.7444 -1.0878 -0.3401 -0.1707 -1.1016 -0.3069
+ 5.950003 -2.1932 0.8205 1.9220 2.2285 2.9999 -4.8951 -3.8843 -3.3305 -2.7438 -1.0876 -0.3397 -0.1707 -1.1015 -0.3064
+ 6.000000 -2.2112 0.7955 1.8969 2.2015 2.9732 -4.8901 -3.8797 -3.3258 -2.7386 -1.0869 -0.3386 -0.1712 -1.1014 -0.3046
+ 6.020000 -2.2246 0.7742 1.8755 2.1787 2.9508 -4.8850 -3.8754 -3.3216 -2.7343 -1.0864 -0.3378 -0.1718 -1.1014 -0.3032
+ 6.040001 -2.2358 0.7674 1.8695 2.1738 2.9489 -4.8894 -3.8794 -3.3255 -2.7381 -1.0874 -0.3387 -0.1720 -1.1021 -0.3043
+ 6.059999 -2.2436 0.7618 1.8648 2.1705 2.9493 -4.8953 -3.8847 -3.3306 -2.7432 -1.0887 -0.3397 -0.1720 -1.1030 -0.3057
+ 6.079998 -2.2471 0.7578 1.8618 2.1693 2.9525 -4.9030 -3.8915 -3.3372 -2.7497 -1.0901 -0.3410 -0.1720 -1.1040 -0.3075
+ 6.100002 -2.2423 0.7574 1.8625 2.1724 2.9606 -4.9133 -3.9006 -3.3458 -2.7582 -1.0918 -0.3426 -0.1718 -1.1051 -0.3099
+ 6.120001 -2.2527 0.7380 1.8410 2.1452 2.9244 -4.8890 -3.8795 -3.3259 -2.7385 -1.0881 -0.3388 -0.1725 -1.1030 -0.3042
+ 6.139998 -2.2690 0.7235 1.8267 2.1304 2.9108 -4.8873 -3.8782 -3.3246 -2.7372 -1.0882 -0.3387 -0.1730 -1.1032 -0.3037
+ 6.160000 -2.2807 0.7134 1.8176 2.1226 2.9071 -4.8932 -3.8835 -3.3297 -2.7422 -1.0895 -0.3397 -0.1731 -1.1042 -0.3050
+ 6.180000 -2.2901 0.6993 1.8048 2.1116 2.9017 -4.9010 -3.8906 -3.3366 -2.7491 -1.0912 -0.3411 -0.1732 -1.1055 -0.3069
+ 6.199999 -2.2885 0.6914 1.7974 2.1050 2.8978 -4.9037 -3.8932 -3.3393 -2.7519 -1.0919 -0.3416 -0.1733 -1.1060 -0.3076
+ 6.220001 -2.3043 0.6702 1.7756 2.0806 2.8707 -4.8927 -3.8838 -3.3305 -2.7432 -1.0905 -0.3400 -0.1739 -1.1054 -0.3050
+ 6.240000 -2.3174 0.6596 1.7655 2.0714 2.8648 -4.9005 -3.8900 -3.3356 -2.7474 -1.0913 -0.3405 -0.1738 -1.1059 -0.3059
+ 6.260000 -2.3284 0.6468 1.7536 2.0609 2.8589 -4.9097 -3.8976 -3.3422 -2.7534 -1.0925 -0.3415 -0.1737 -1.1068 -0.3073
+ 6.280000 -2.3355 0.6305 1.7378 2.0457 2.8468 -4.9149 -3.9018 -3.3457 -2.7563 -1.0932 -0.3418 -0.1736 -1.1073 -0.3079
+ 6.300000 -2.3576 0.6047 1.7129 2.0215 2.8268 -4.9203 -3.9064 -3.3497 -2.7597 -1.0942 -0.3423 -0.1739 -1.1082 -0.3086
+ 6.319999 -2.3681 0.5811 1.6910 2.0022 2.8153 -4.9333 -3.9178 -3.3605 -2.7700 -1.0966 -0.3441 -0.1738 -1.1099 -0.3113
+ 6.340000 -2.3783 0.5575 1.6698 1.9853 2.8096 -4.9524 -3.9348 -3.3765 -2.7856 -1.1001 -0.3470 -0.1737 -1.1123 -0.3155
+ 6.360001 -2.3998 0.5238 1.6395 1.9608 2.8010 -4.9771 -3.9570 -3.3978 -2.8064 -1.1049 -0.3511 -0.1737 -1.1157 -0.3213
+ 6.380000 -2.4145 0.4884 1.6088 1.9388 2.8008 -5.0120 -3.9884 -3.4281 -2.8363 -1.1117 -0.3571 -0.1734 -1.1204 -0.3300
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+ 6.420001 -2.4531 0.3834 1.5112 1.8535 2.7475 -5.0526 -4.0264 -3.4663 -2.8749 -1.1220 -0.3660 -0.1741 -1.1279 -0.3423
+ 6.440000 -2.4738 0.3134 1.4458 1.7951 2.7094 -5.0740 -4.0470 -3.4876 -2.8971 -1.1282 -0.3708 -0.1740 -1.1324 -0.3493
+ 6.460000 -2.4955 0.1953 1.3324 1.6868 2.6123 -5.0780 -4.0551 -3.5002 -2.9125 -1.1340 -0.3741 -0.1738 -1.1371 -0.3544
+ 6.480000 -2.5168 -0.1875 0.6915 0.9199 1.2768 -4.3853 -3.3867 -2.8612 -2.3153 -0.8694 -0.2227 -0.0540 -0.8790 -0.2284
+ 6.499999 -2.5525 -0.5045 -0.0659 -0.2728 -1.1190 -3.1642 -2.1648 -1.6427 -1.1317 -0.3724 0.2764 0.2952 -0.4386 0.2069
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+ 10.255273 6.4636 7.5531 7.4982 6.8627 4.7955 1.8093 2.0542 1.6491 1.0632 0.1985 0.7842 0.6238 0.0549 0.6354
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+ 10.267172 6.4829 7.5814 7.5243 6.8851 4.8103 1.7690 2.0366 1.6501 1.0704 0.2016 0.7882 0.6253 0.0572 0.6392
+ 10.273002 6.4925 7.5952 7.5371 6.8961 4.8189 1.7443 2.0241 1.6485 1.0731 0.2030 0.7902 0.6262 0.0581 0.6410
+ 10.278753 6.5020 7.6090 7.5498 6.9069 4.8264 1.7278 2.0171 1.6497 1.0770 0.2046 0.7922 0.6271 0.0593 0.6428
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+ 10.290034 6.5208 7.6365 7.5751 6.9285 4.8417 1.6915 1.9999 1.6501 1.0837 0.2076 0.7962 0.6286 0.0614 0.6466
+ 10.295568 6.5306 7.6501 7.5877 6.9393 4.8502 1.6753 1.9918 1.6502 1.0868 0.2090 0.7980 0.6294 0.0624 0.6483
+ 10.301030 6.5401 7.6635 7.6000 6.9499 4.8580 1.6608 1.9850 1.6509 1.0902 0.2105 0.7999 0.6300 0.0635 0.6501
diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m32_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m32_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..e8571ae
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m32_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:09:07 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m32_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.7686, Y=0.231, Z=0.0004 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.150001 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.199999 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.250000 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.300002 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
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diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m42_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m42_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..30ad20d
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m42_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:11:35 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m42_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.756, Y=0.24, Z=0.004 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
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+ 5.150001 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
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diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m52_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m52_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..ae46ab7
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m52_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:14:08 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m52_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.742, Y=0.25, Z=0.008 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
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diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m62_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m62_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..7d6dbb0
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m62_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:18:00 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m62_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.70, Y=0.28, Z=0.02 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.2362 0.1428 1.2025 1.4941 2.1661 -4.6380 -3.6696 -3.1816 -2.6125 -1.0481 -0.3077 -0.1528 -1.0596 -0.2917
+ 5.150001 -2.2362 0.1428 1.2025 1.4941 2.1661 -4.6380 -3.6696 -3.1816 -2.6125 -1.0481 -0.3077 -0.1528 -1.0596 -0.2917
+ 5.199999 -2.2362 0.1428 1.2025 1.4941 2.1661 -4.6380 -3.6696 -3.1816 -2.6125 -1.0481 -0.3077 -0.1528 -1.0596 -0.2917
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+ 10.217484 6.7785 9.3832 8.6719 7.6609 4.3775 3.5491 4.3623 4.4584 3.0285 0.9325 1.1548 0.8732 0.7113 1.0110
+ 10.224015 6.7892 9.4006 8.6861 7.6739 4.3866 3.5422 4.3530 4.4531 3.0360 0.9359 1.1560 0.8743 0.7145 1.0122
+ 10.230449 6.7996 9.4185 8.7005 7.6869 4.3954 3.5371 4.3501 4.4567 3.0458 0.9398 1.1573 0.8756 0.7180 1.0136
+ 10.236789 6.8111 9.4365 8.7145 7.6996 4.4059 3.5504 4.3697 4.4799 3.0596 0.9440 1.1586 0.8765 0.7220 1.0149
+ 10.243038 6.8221 9.4534 8.7282 7.7122 4.4156 3.5702 4.3850 4.4929 3.0698 0.9474 1.1597 0.8774 0.7252 1.0160
+ 10.249198 6.8325 9.4698 8.7417 7.7247 4.4244 3.5710 4.3848 4.4948 3.0781 0.9505 1.1606 0.8785 0.7281 1.0170
+ 10.255273 6.8427 9.4866 8.7552 7.7369 4.4332 3.5711 4.3847 4.4988 3.0872 0.9541 1.1618 0.8795 0.7315 1.0183
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+ 10.273002 6.8668 9.5337 8.7909 7.7685 4.4513 3.5932 4.4058 4.5257 3.1201 0.9663 1.1656 0.8832 0.7427 1.0225
+ 10.278753 6.8711 9.5421 8.7981 7.7749 4.4552 3.4982 4.3063 4.4415 3.1115 0.9678 1.1664 0.8840 0.7440 1.0232
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+ 10.295568 6.8944 9.5870 8.8330 7.8053 4.4742 3.4886 4.2967 4.4442 3.1352 0.9788 1.1708 0.8881 0.7540 1.0276
+ 10.301030 6.9023 9.6001 8.8431 7.8147 4.4811 3.5250 4.3357 4.4814 3.1501 0.9819 1.1717 0.8891 0.7570 1.0284
diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m72_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m72_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..cb3a0fa
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_hr_m72_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:21:17 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m72_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.5980, Y=0.352, Z=0.0500 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.3280 -0.1486 0.8969 1.1829 1.8991 -4.5375 -3.6030 -3.1605 -2.5961 -1.0334 -0.3086 -0.1518 -1.0455 -0.2860
+ 5.150001 -2.4446 -0.2417 0.8102 1.0985 1.8266 -4.5632 -3.6268 -3.1804 -2.6127 -1.0398 -0.3106 -0.1534 -1.0519 -0.2883
+ 5.199999 -2.4207 -0.2237 0.8269 1.1148 1.8407 -4.5578 -3.6218 -3.1763 -2.6092 -1.0386 -0.3103 -0.1531 -1.0507 -0.2879
+ 5.250000 -2.3960 -0.2052 0.8442 1.1316 1.8551 -4.5521 -3.6166 -3.1720 -2.6057 -1.0372 -0.3099 -0.1529 -1.0494 -0.2874
+ 5.300002 -2.3707 -0.1862 0.8618 1.1488 1.8698 -4.5463 -3.6111 -3.1675 -2.6019 -1.0359 -0.3095 -0.1526 -1.0480 -0.2870
+ 5.350002 -2.4419 -0.2433 0.8085 1.0969 1.8251 -4.5617 -3.6254 -3.1795 -2.6119 -1.0398 -0.3107 -0.1536 -1.0519 -0.2884
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diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m22_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m22_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..7ce1a81
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m22_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:04:27 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m22_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.7696, Y=0.2303, Z=0.0001 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
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+ 5.150001 -2.1495 0.8172 1.9659 2.3174 3.0224 -4.9495 -3.9471 -3.4008 -2.8204 -1.1352 -0.4029 -0.1906 -1.1487 -0.3515
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diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m32_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m32_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..05656ae
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m32_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:07:05 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m32_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.7686, Y=0.231, Z=0.0004 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
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+ 10.236789 6.4481 7.5708 7.5120 6.8344 4.7296 3.0468 2.7890 2.0611 1.3044 0.2126 0.8405 0.6376 0.0589 0.6775
+ 10.243038 6.4570 7.5836 7.5240 6.8455 4.7363 2.9743 2.7567 2.0533 1.3046 0.2136 0.8419 0.6386 0.0596 0.6785
+ 10.249198 6.4659 7.5956 7.5354 6.8559 4.7445 2.9043 2.7230 2.0442 1.3044 0.2143 0.8432 0.6397 0.0602 0.6795
+ 10.255273 6.4749 7.6081 7.5472 6.8667 4.7520 2.8417 2.6930 2.0365 1.3046 0.2152 0.8447 0.6408 0.0609 0.6805
+ 10.261263 6.4841 7.6208 7.5592 6.8777 4.7598 2.7846 2.6650 2.0293 1.3049 0.2161 0.8461 0.6419 0.0616 0.6815
+ 10.267172 6.4929 7.6333 7.5710 6.8885 4.7671 2.7232 2.6344 2.0209 1.3048 0.2169 0.8476 0.6431 0.0622 0.6826
+ 10.273002 6.5024 7.6454 7.5825 6.8991 4.7761 2.6731 2.6082 2.0138 1.3050 0.2177 0.8488 0.6440 0.0629 0.6834
+ 10.278753 6.5108 7.6582 7.5946 6.9099 4.7820 2.6185 2.5802 2.0061 1.3053 0.2187 0.8505 0.6453 0.0636 0.6848
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+ 10.290034 6.5289 7.6831 7.6183 6.9313 4.7981 2.5193 2.5273 1.9910 1.3053 0.2204 0.8535 0.6475 0.0649 0.6870
+ 10.295568 6.5374 7.6957 7.6302 6.9420 4.8043 2.4803 2.5054 1.9851 1.3060 0.2213 0.8551 0.6486 0.0656 0.6881
+ 10.301030 6.5461 7.7080 7.6418 6.9526 4.8115 2.4315 2.4785 1.9767 1.3056 0.2221 0.8566 0.6497 0.0661 0.6893
diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m42_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m42_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..75d98d8
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m42_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:09:47 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m42_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.756, Y=0.24, Z=0.004 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
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+ 5.150001 -2.1291 0.4862 1.5558 1.8498 2.5485 -4.7787 -3.7581 -3.2083 -2.6300 -1.0524 -0.3368 -0.1750 -1.0696 -0.2941
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+ 10.278753 6.6608 8.3449 8.0461 7.2214 4.6085 3.8370 4.5147 3.6084 2.1061 0.4826 0.9821 0.7591 0.2989 0.8247
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+ 10.290034 6.6826 8.3669 8.0682 7.2437 4.6303 3.8518 4.5206 3.6045 2.1048 0.4821 0.9829 0.7597 0.2987 0.8245
+ 10.295568 6.6920 8.3788 8.0791 7.2540 4.6384 3.8786 4.5490 3.6166 2.1088 0.4832 0.9839 0.7606 0.2997 0.8251
+ 10.301030 6.6988 8.3901 8.0887 7.2626 4.6431 3.8743 4.5480 3.6225 2.1134 0.4850 0.9853 0.7621 0.3014 0.8262
diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m52_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m52_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..6c8b449
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m52_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:12:16 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m52_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.742, Y=0.25, Z=0.008 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
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diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m62_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m62_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..49d3d37
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m62_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:16:09 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m62_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.70, Y=0.28, Z=0.02 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.2362 0.1446 1.1943 1.4764 2.1661 -4.6203 -3.6519 -3.1639 -2.5949 -1.0313 -0.3393 -0.1902 -1.0497 -0.2821
+ 5.150001 -2.2362 0.1446 1.1943 1.4764 2.1661 -4.6203 -3.6519 -3.1639 -2.5949 -1.0313 -0.3393 -0.1902 -1.0497 -0.2821
+ 5.199999 -2.2362 0.1446 1.1943 1.4764 2.1661 -4.6203 -3.6519 -3.1639 -2.5949 -1.0313 -0.3393 -0.1902 -1.0497 -0.2821
+ 5.250000 -2.2362 0.1446 1.1943 1.4764 2.1661 -4.6203 -3.6519 -3.1639 -2.5949 -1.0313 -0.3393 -0.1902 -1.0497 -0.2821
+ 5.300002 -2.2362 0.1446 1.1943 1.4764 2.1661 -4.6203 -3.6519 -3.1639 -2.5949 -1.0313 -0.3393 -0.1902 -1.0497 -0.2821
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+ 5.900003 -2.2362 0.1446 1.1943 1.4764 2.1661 -4.6203 -3.6519 -3.1639 -2.5949 -1.0313 -0.3393 -0.1902 -1.0497 -0.2821
+ 5.950003 -2.2362 0.1446 1.1943 1.4764 2.1661 -4.6203 -3.6519 -3.1639 -2.5949 -1.0313 -0.3393 -0.1902 -1.0497 -0.2821
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diff --git a/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m72_salp_ssp.1color.svn-base b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m72_salp_ssp.1color.svn-base
new file mode 100644
index 0000000..66256b1
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/.svn/text-base/bc2003_lr_m72_salp_ssp.1color.svn-base
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:19:33 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m72_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.5980, Y=0.352, Z=0.0500 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
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+ 10.236789 6.9228 10.2531 9.1987 8.0808 4.3389 3.2240 4.0217 4.2617 3.6510 1.2758 1.2993 0.9308 1.0544 1.1179
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+ 10.249198 6.9225 10.2697 9.2089 8.0866 4.3390 3.1035 3.8922 4.1290 3.6155 1.2832 1.3042 0.9344 1.0608 1.1223
+ 10.255273 6.9308 10.2868 9.2215 8.0973 4.3475 3.0958 3.8834 4.1215 3.6206 1.2881 1.3061 0.9362 1.0653 1.1242
+ 10.261263 6.9392 10.3051 9.2343 8.1079 4.3562 3.1091 3.8978 4.1369 3.6381 1.2940 1.3083 0.9380 1.0708 1.1264
+ 10.267172 6.9480 10.3207 9.2459 8.1183 4.3659 3.1014 3.8933 4.1364 3.6471 1.2981 1.3097 0.9396 1.0747 1.1277
+ 10.273002 6.9566 10.3386 9.2584 8.1289 4.3747 3.1049 3.9010 4.1471 3.6633 1.3040 1.3115 0.9413 1.0803 1.1295
+ 10.278753 6.9651 10.3554 9.2709 8.1393 4.3834 3.0969 3.8879 4.1317 3.6635 1.3086 1.3137 0.9430 1.0845 1.1316
+ 10.284431 6.9737 10.3699 9.2820 8.1496 4.3926 3.1091 3.9032 4.1493 3.6794 1.3121 1.3146 0.9445 1.0879 1.1324
+ 10.290034 6.9816 10.3841 9.2937 8.1599 4.4007 3.0976 3.8867 4.1270 3.6746 1.3149 1.3161 0.9462 1.0905 1.1338
+ 10.295568 6.9901 10.4037 9.3071 8.1709 4.4092 3.1042 3.8953 4.1409 3.6924 1.3215 1.3185 0.9480 1.0966 1.1362
+ 10.301030 6.9988 10.4189 9.3188 8.1813 4.4183 3.1073 3.8961 4.1394 3.6983 1.3252 1.3199 0.9496 1.1001 1.1376
diff --git a/config/opt/SSP/P94_salpeter/bc2003_hr_m22_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_hr_m22_salp_ssp.1color
new file mode 100644
index 0000000..ee0a394
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_hr_m22_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:06:24 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m22_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.7696, Y=0.2303, Z=0.0001 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
+ 5.150001 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
+ 5.199999 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
+ 5.250000 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
+ 5.300002 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
+ 5.350002 -2.1495 0.8323 1.9365 2.2462 3.0224 -4.8783 -3.8759 -3.3295 -2.7489 -1.0907 -0.3432 -0.1724 -1.1042 -0.3097
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+ 10.217484 6.4040 7.4657 7.4177 6.7943 4.7481 1.9431 2.1092 1.6436 1.0392 0.1887 0.7711 0.6183 0.0480 0.6234
+ 10.224015 6.4140 7.4809 7.4317 6.8061 4.7555 1.9204 2.1008 1.6454 1.0437 0.1905 0.7736 0.6195 0.0492 0.6257
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+ 10.236789 6.4339 7.5102 7.4588 6.8292 4.7713 1.8718 2.0805 1.6463 1.0513 0.1936 0.7779 0.6212 0.0514 0.6296
+ 10.243038 6.4439 7.5247 7.4720 6.8402 4.7798 1.8505 2.0722 1.6479 1.0558 0.1955 0.7802 0.6221 0.0527 0.6317
+ 10.249198 6.4538 7.5391 7.4853 6.8517 4.7876 1.8295 2.0631 1.6484 1.0594 0.1969 0.7822 0.6231 0.0538 0.6336
+ 10.255273 6.4636 7.5531 7.4982 6.8627 4.7955 1.8093 2.0542 1.6491 1.0632 0.1985 0.7842 0.6238 0.0549 0.6354
+ 10.261263 6.4737 7.5673 7.5114 6.8740 4.8044 1.7866 2.0438 1.6488 1.0665 0.2000 0.7862 0.6248 0.0559 0.6373
+ 10.267172 6.4829 7.5814 7.5243 6.8851 4.8103 1.7690 2.0366 1.6501 1.0704 0.2016 0.7882 0.6253 0.0572 0.6392
+ 10.273002 6.4925 7.5952 7.5371 6.8961 4.8189 1.7443 2.0241 1.6485 1.0731 0.2030 0.7902 0.6262 0.0581 0.6410
+ 10.278753 6.5020 7.6090 7.5498 6.9069 4.8264 1.7278 2.0171 1.6497 1.0770 0.2046 0.7922 0.6271 0.0593 0.6428
+ 10.284431 6.5115 7.6227 7.5625 6.9177 4.8345 1.7070 2.0066 1.6489 1.0800 0.2060 0.7942 0.6279 0.0603 0.6448
+ 10.290034 6.5208 7.6365 7.5751 6.9285 4.8417 1.6915 1.9999 1.6501 1.0837 0.2076 0.7962 0.6286 0.0614 0.6466
+ 10.295568 6.5306 7.6501 7.5877 6.9393 4.8502 1.6753 1.9918 1.6502 1.0868 0.2090 0.7980 0.6294 0.0624 0.6483
+ 10.301030 6.5401 7.6635 7.6000 6.9499 4.8580 1.6608 1.9850 1.6509 1.0902 0.2105 0.7999 0.6300 0.0635 0.6501
diff --git a/config/opt/SSP/P94_salpeter/bc2003_hr_m32_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_hr_m32_salp_ssp.1color
new file mode 100644
index 0000000..e8571ae
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_hr_m32_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:09:07 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m32_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.7686, Y=0.231, Z=0.0004 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.150001 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.199999 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.250000 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.300002 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.350002 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.400001 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.450001 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.500002 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.550002 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
+ 5.600002 -2.1236 0.7638 1.8631 2.1764 2.9333 -4.8925 -3.8827 -3.3350 -2.7533 -1.0880 -0.3414 -0.1667 -1.0993 -0.3133
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+ 10.261263 6.4841 7.6624 7.5364 6.8635 4.7598 2.7988 2.6792 2.0435 1.3192 0.2751 0.8235 0.6265 0.1260 0.6729
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+ 10.273002 6.5024 7.6884 7.5596 6.8845 4.7761 2.6877 2.6228 2.0284 1.3197 0.2782 0.8262 0.6284 0.1288 0.6751
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+ 10.284431 6.5199 7.7149 7.5834 6.9058 4.7898 2.5874 2.5695 2.0136 1.3202 0.2814 0.8292 0.6306 0.1315 0.6776
+ 10.290034 6.5289 7.7280 7.5952 6.9162 4.7981 2.5344 2.5424 2.0061 1.3206 0.2830 0.8309 0.6316 0.1328 0.6790
+ 10.295568 6.5374 7.7412 7.6070 6.9267 4.8043 2.4955 2.5206 2.0004 1.3214 0.2846 0.8325 0.6327 0.1342 0.6803
+ 10.301030 6.5461 7.7542 7.6187 6.9371 4.8115 2.4470 2.4939 1.9922 1.3213 0.2861 0.8340 0.6338 0.1355 0.6816
diff --git a/config/opt/SSP/P94_salpeter/bc2003_hr_m42_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_hr_m42_salp_ssp.1color
new file mode 100644
index 0000000..30ad20d
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_hr_m42_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:11:35 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m42_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.756, Y=0.24, Z=0.004 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.150001 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.199999 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.250000 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.300002 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.350002 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.400001 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.450001 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.500002 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.550002 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.600002 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.650002 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.700002 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.750002 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.800003 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
+ 5.850003 -2.1291 0.4866 1.5599 1.8533 2.5485 -4.7822 -3.7616 -3.2118 -2.6334 -1.0593 -0.3200 -0.1603 -1.0733 -0.2934
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diff --git a/config/opt/SSP/P94_salpeter/bc2003_hr_m52_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_hr_m52_salp_ssp.1color
new file mode 100644
index 0000000..ae46ab7
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_hr_m52_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:14:08 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m52_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.742, Y=0.25, Z=0.008 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.1505 0.3659 1.4131 1.7096 2.4112 -4.7039 -3.7043 -3.1826 -2.6101 -1.0375 -0.3220 -0.1597 -1.0471 -0.2965
+ 5.150001 -2.1505 0.3659 1.4131 1.7096 2.4112 -4.7039 -3.7043 -3.1826 -2.6101 -1.0375 -0.3220 -0.1597 -1.0471 -0.2965
+ 5.199999 -2.1505 0.3659 1.4131 1.7096 2.4112 -4.7039 -3.7043 -3.1826 -2.6101 -1.0375 -0.3220 -0.1597 -1.0471 -0.2965
+ 5.250000 -2.1505 0.3659 1.4131 1.7096 2.4112 -4.7039 -3.7043 -3.1826 -2.6101 -1.0375 -0.3220 -0.1597 -1.0471 -0.2965
+ 5.300002 -2.1505 0.3659 1.4131 1.7096 2.4112 -4.7039 -3.7043 -3.1826 -2.6101 -1.0375 -0.3220 -0.1597 -1.0471 -0.2965
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+ 6.000000 -2.1505 0.3659 1.4131 1.7096 2.4112 -4.7039 -3.7043 -3.1826 -2.6101 -1.0375 -0.3220 -0.1597 -1.0471 -0.2965
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+ 10.255273 6.6950 8.8031 8.3080 7.3900 4.4415 3.7215 4.5284 4.2159 2.5475 0.6995 1.0651 0.8272 0.4952 0.9180
+ 10.261263 6.7050 8.8152 8.3191 7.4004 4.4515 3.7263 4.5403 4.2316 2.5524 0.7005 1.0659 0.8274 0.4961 0.9187
+ 10.267172 6.7138 8.8259 8.3293 7.4102 4.4596 3.7367 4.5418 4.2328 2.5538 0.7012 1.0664 0.8282 0.4966 0.9191
+ 10.273002 6.7233 8.8370 8.3399 7.4203 4.4689 3.7346 4.5363 4.2324 2.5552 0.7017 1.0670 0.8287 0.4971 0.9196
+ 10.278753 6.7329 8.8486 8.3505 7.4302 4.4784 3.7424 4.5518 4.2494 2.5602 0.7029 1.0678 0.8292 0.4980 0.9204
+ 10.284431 6.7415 8.8596 8.3608 7.4400 4.4862 3.7434 4.5532 4.2536 2.5624 0.7037 1.0684 0.8300 0.4987 0.9208
+ 10.290034 6.7511 8.8703 8.3711 7.4497 4.4960 3.7437 4.5546 4.2595 2.5649 0.7043 1.0690 0.8304 0.4992 0.9214
+ 10.295568 6.7598 8.8809 8.3812 7.4594 4.5042 3.7355 4.5460 4.2579 2.5660 0.7048 1.0696 0.8312 0.4996 0.9219
+ 10.301030 6.7690 8.8917 8.3913 7.4689 4.5134 3.7553 4.5617 4.2681 2.5685 0.7056 1.0702 0.8316 0.5004 0.9224
diff --git a/config/opt/SSP/P94_salpeter/bc2003_hr_m62_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_hr_m62_salp_ssp.1color
new file mode 100644
index 0000000..7d6dbb0
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_hr_m62_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:18:00 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m62_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.70, Y=0.28, Z=0.02 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.2362 0.1428 1.2025 1.4941 2.1661 -4.6380 -3.6696 -3.1816 -2.6125 -1.0481 -0.3077 -0.1528 -1.0596 -0.2917
+ 5.150001 -2.2362 0.1428 1.2025 1.4941 2.1661 -4.6380 -3.6696 -3.1816 -2.6125 -1.0481 -0.3077 -0.1528 -1.0596 -0.2917
+ 5.199999 -2.2362 0.1428 1.2025 1.4941 2.1661 -4.6380 -3.6696 -3.1816 -2.6125 -1.0481 -0.3077 -0.1528 -1.0596 -0.2917
+ 5.250000 -2.2362 0.1428 1.2025 1.4941 2.1661 -4.6380 -3.6696 -3.1816 -2.6125 -1.0481 -0.3077 -0.1528 -1.0596 -0.2917
+ 5.300002 -2.2362 0.1428 1.2025 1.4941 2.1661 -4.6380 -3.6696 -3.1816 -2.6125 -1.0481 -0.3077 -0.1528 -1.0596 -0.2917
+ 5.350002 -2.2362 0.1428 1.2025 1.4941 2.1661 -4.6380 -3.6696 -3.1816 -2.6125 -1.0481 -0.3077 -0.1528 -1.0596 -0.2917
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+ 5.900003 -2.2362 0.1428 1.2025 1.4941 2.1661 -4.6380 -3.6696 -3.1816 -2.6125 -1.0481 -0.3077 -0.1528 -1.0596 -0.2917
+ 5.950003 -2.2362 0.1428 1.2025 1.4941 2.1661 -4.6380 -3.6696 -3.1816 -2.6125 -1.0481 -0.3077 -0.1528 -1.0596 -0.2917
+ 6.000000 -2.2928 -0.1093 0.9520 1.2369 1.9436 -4.5954 -3.6408 -3.1751 -2.6116 -1.0479 -0.3025 -0.1555 -1.0612 -0.2849
+ 6.020000 -2.2893 -0.1081 0.9529 1.2377 1.9443 -4.5938 -3.6394 -3.1740 -2.6108 -1.0477 -0.3023 -0.1555 -1.0610 -0.2848
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+ 10.236789 6.8111 9.4365 8.7145 7.6996 4.4059 3.5504 4.3697 4.4799 3.0596 0.9440 1.1586 0.8765 0.7220 1.0149
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+ 10.249198 6.8325 9.4698 8.7417 7.7247 4.4244 3.5710 4.3848 4.4948 3.0781 0.9505 1.1606 0.8785 0.7281 1.0170
+ 10.255273 6.8427 9.4866 8.7552 7.7369 4.4332 3.5711 4.3847 4.4988 3.0872 0.9541 1.1618 0.8795 0.7315 1.0183
+ 10.261263 6.8528 9.5032 8.7685 7.7489 4.4416 3.5693 4.3822 4.5003 3.0962 0.9577 1.1629 0.8805 0.7348 1.0195
+ 10.267172 6.8628 9.5187 8.7808 7.7603 4.4505 3.5710 4.3826 4.5022 3.1046 0.9610 1.1637 0.8812 0.7379 1.0205
+ 10.273002 6.8668 9.5337 8.7909 7.7685 4.4513 3.5932 4.4058 4.5257 3.1201 0.9663 1.1656 0.8832 0.7427 1.0225
+ 10.278753 6.8711 9.5421 8.7981 7.7749 4.4552 3.4982 4.3063 4.4415 3.1115 0.9678 1.1664 0.8840 0.7440 1.0232
+ 10.284431 6.8788 9.5568 8.8097 7.7850 4.4615 3.4888 4.2965 4.4359 3.1178 0.9712 1.1678 0.8853 0.7471 1.0247
+ 10.290034 6.8872 9.5715 8.8209 7.7950 4.4689 3.5012 4.3088 4.4499 3.1283 0.9749 1.1691 0.8865 0.7506 1.0258
+ 10.295568 6.8944 9.5870 8.8330 7.8053 4.4742 3.4886 4.2967 4.4442 3.1352 0.9788 1.1708 0.8881 0.7540 1.0276
+ 10.301030 6.9023 9.6001 8.8431 7.8147 4.4811 3.5250 4.3357 4.4814 3.1501 0.9819 1.1717 0.8891 0.7570 1.0284
diff --git a/config/opt/SSP/P94_salpeter/bc2003_hr_m72_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_hr_m72_salp_ssp.1color
new file mode 100644
index 0000000..cb3a0fa
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_hr_m72_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:21:17 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_hr_m72_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.5980, Y=0.352, Z=0.0500 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.3280 -0.1486 0.8969 1.1829 1.8991 -4.5375 -3.6030 -3.1605 -2.5961 -1.0334 -0.3086 -0.1518 -1.0455 -0.2860
+ 5.150001 -2.4446 -0.2417 0.8102 1.0985 1.8266 -4.5632 -3.6268 -3.1804 -2.6127 -1.0398 -0.3106 -0.1534 -1.0519 -0.2883
+ 5.199999 -2.4207 -0.2237 0.8269 1.1148 1.8407 -4.5578 -3.6218 -3.1763 -2.6092 -1.0386 -0.3103 -0.1531 -1.0507 -0.2879
+ 5.250000 -2.3960 -0.2052 0.8442 1.1316 1.8551 -4.5521 -3.6166 -3.1720 -2.6057 -1.0372 -0.3099 -0.1529 -1.0494 -0.2874
+ 5.300002 -2.3707 -0.1862 0.8618 1.1488 1.8698 -4.5463 -3.6111 -3.1675 -2.6019 -1.0359 -0.3095 -0.1526 -1.0480 -0.2870
+ 5.350002 -2.4419 -0.2433 0.8085 1.0969 1.8251 -4.5617 -3.6254 -3.1795 -2.6119 -1.0398 -0.3107 -0.1536 -1.0519 -0.2884
+ 5.400001 -2.4123 -0.2212 0.8291 1.1170 1.8424 -4.5550 -3.6192 -3.1744 -2.6077 -1.0382 -0.3103 -0.1533 -1.0503 -0.2878
+ 5.450001 -2.3816 -0.1982 0.8505 1.1378 1.8602 -4.5480 -3.6127 -3.1690 -2.6032 -1.0366 -0.3098 -0.1530 -1.0487 -0.2873
+ 5.500002 -2.4297 -0.2385 0.8127 1.1010 1.8284 -4.5574 -3.6216 -3.1766 -2.6096 -1.0391 -0.3107 -0.1537 -1.0512 -0.2882
+ 5.550002 -2.3948 -0.2131 0.8363 1.1239 1.8481 -4.5490 -3.6139 -3.1704 -2.6045 -1.0373 -0.3102 -0.1534 -1.0494 -0.2876
+ 5.600002 -2.4303 -0.2746 0.7802 1.0671 1.7967 -4.5613 -3.6265 -3.1859 -2.6196 -1.0423 -0.3084 -0.1525 -1.0548 -0.2869
+ 5.650002 -2.3891 -0.2453 0.8075 1.0935 1.8194 -4.5517 -3.6178 -3.1790 -2.6140 -1.0402 -0.3077 -0.1520 -1.0527 -0.2861
+ 5.700002 -2.4103 -0.2727 0.7812 1.0679 1.7968 -4.5525 -3.6189 -3.1806 -2.6154 -1.0414 -0.3085 -0.1530 -1.0539 -0.2867
+ 5.750002 -2.4397 -0.3084 0.7469 1.0344 1.7673 -4.5543 -3.6208 -3.1829 -2.6174 -1.0428 -0.3094 -0.1541 -1.0553 -0.2875
+ 5.800003 -2.3923 -0.2813 0.7716 1.0583 1.7877 -4.5412 -3.6091 -3.1740 -2.6102 -1.0404 -0.3088 -0.1540 -1.0529 -0.2867
+ 5.850003 -2.4577 -0.4120 0.6438 0.9329 1.6754 -4.5274 -3.5986 -3.1704 -2.6081 -1.0433 -0.3124 -0.1592 -1.0558 -0.2891
+ 5.900003 -2.3775 -0.3615 0.6905 0.9781 1.7146 -4.5080 -3.5811 -3.1570 -2.5973 -1.0393 -0.3113 -0.1588 -1.0519 -0.2876
+ 5.950003 -2.4535 -0.4448 0.6094 0.8981 1.6431 -4.5093 -3.5844 -3.1618 -2.6017 -1.0416 -0.3129 -0.1609 -1.0542 -0.2887
+ 6.000000 -2.3942 -0.4094 0.6412 0.9285 1.6694 -4.4920 -3.5692 -3.1505 -2.5927 -1.0379 -0.3119 -0.1608 -1.0506 -0.2873
+ 6.020000 -2.4560 -0.4860 0.5659 0.8538 1.6017 -4.4873 -3.5677 -3.1519 -2.5945 -1.0391 -0.3132 -0.1627 -1.0519 -0.2879
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+ 6.100002 -2.3951 -0.4950 0.5518 0.8365 1.5837 -4.4396 -3.5299 -3.1273 -2.5766 -1.0335 -0.3113 -0.1638 -1.0468 -0.2848
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+ 10.273002 6.9566 10.3293 9.2895 8.1346 4.3747 3.0991 3.8952 4.1413 3.6508 1.2904 1.3147 1.0082 1.0398 1.1549
+ 10.278753 6.9651 10.3461 9.3016 8.1446 4.3834 3.0916 3.8826 4.1264 3.6514 1.2957 1.3164 1.0095 1.0445 1.1570
+ 10.284431 6.9737 10.3608 9.3121 8.1543 4.3926 3.1044 3.8985 4.1446 3.6678 1.3001 1.3170 1.0105 1.0487 1.1578
+ 10.290034 6.9816 10.3746 9.3233 8.1641 4.4007 3.0934 3.8825 4.1228 3.6634 1.3031 1.3181 1.0116 1.0513 1.1592
+ 10.295568 6.9901 10.3945 9.3360 8.1746 4.4092 3.1005 3.8916 4.1372 3.6817 1.3109 1.3199 1.0130 1.0585 1.1614
+ 10.301030 6.9988 10.4096 9.3472 8.1844 4.4183 3.1041 3.8929 4.1363 3.6881 1.3153 1.3210 1.0140 1.0625 1.1627
diff --git a/config/opt/SSP/P94_salpeter/bc2003_lr_m22_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_lr_m22_salp_ssp.1color
new file mode 100644
index 0000000..7ce1a81
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_lr_m22_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:04:27 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m22_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.7696, Y=0.2303, Z=0.0001 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.1495 0.8172 1.9659 2.3174 3.0224 -4.9495 -3.9471 -3.4008 -2.8204 -1.1352 -0.4029 -0.1906 -1.1487 -0.3515
+ 5.150001 -2.1495 0.8172 1.9659 2.3174 3.0224 -4.9495 -3.9471 -3.4008 -2.8204 -1.1352 -0.4029 -0.1906 -1.1487 -0.3515
+ 5.199999 -2.1495 0.8172 1.9659 2.3174 3.0224 -4.9495 -3.9471 -3.4008 -2.8204 -1.1352 -0.4029 -0.1906 -1.1487 -0.3515
+ 5.250000 -2.1495 0.8172 1.9659 2.3174 3.0224 -4.9495 -3.9471 -3.4008 -2.8204 -1.1352 -0.4029 -0.1906 -1.1487 -0.3515
+ 5.300002 -2.1495 0.8172 1.9659 2.3174 3.0224 -4.9495 -3.9471 -3.4008 -2.8204 -1.1352 -0.4029 -0.1906 -1.1487 -0.3515
+ 5.350002 -2.1495 0.8172 1.9659 2.3174 3.0224 -4.9495 -3.9471 -3.4008 -2.8204 -1.1352 -0.4029 -0.1906 -1.1487 -0.3515
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+ 5.950003 -2.1932 0.8055 1.9510 2.2985 2.9999 -4.9652 -3.9543 -3.4006 -2.8141 -1.1316 -0.3983 -0.1884 -1.1455 -0.3475
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+ 10.301030 6.5401 7.6228 7.6209 6.9558 4.8580 1.6548 1.9791 1.6450 1.0837 0.1571 0.8202 0.6381 0.0019 0.6651
diff --git a/config/opt/SSP/P94_salpeter/bc2003_lr_m32_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_lr_m32_salp_ssp.1color
new file mode 100644
index 0000000..05656ae
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_lr_m32_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:07:05 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m32_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.7686, Y=0.231, Z=0.0004 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.1236 0.7491 1.8917 2.2430 2.9333 -4.9590 -3.9493 -3.4016 -2.8202 -1.1302 -0.3959 -0.1820 -1.1426 -0.3512
+ 5.150001 -2.1236 0.7491 1.8917 2.2430 2.9333 -4.9590 -3.9493 -3.4016 -2.8202 -1.1302 -0.3959 -0.1820 -1.1426 -0.3512
+ 5.199999 -2.1236 0.7491 1.8917 2.2430 2.9333 -4.9590 -3.9493 -3.4016 -2.8202 -1.1302 -0.3959 -0.1820 -1.1426 -0.3512
+ 5.250000 -2.1236 0.7491 1.8917 2.2430 2.9333 -4.9590 -3.9493 -3.4016 -2.8202 -1.1302 -0.3959 -0.1820 -1.1426 -0.3512
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+ 10.267172 6.4929 7.6333 7.5710 6.8885 4.7671 2.7232 2.6344 2.0209 1.3048 0.2169 0.8476 0.6431 0.0622 0.6826
+ 10.273002 6.5024 7.6454 7.5825 6.8991 4.7761 2.6731 2.6082 2.0138 1.3050 0.2177 0.8488 0.6440 0.0629 0.6834
+ 10.278753 6.5108 7.6582 7.5946 6.9099 4.7820 2.6185 2.5802 2.0061 1.3053 0.2187 0.8505 0.6453 0.0636 0.6848
+ 10.284431 6.5199 7.6705 7.6065 6.9208 4.7898 2.5724 2.5545 1.9986 1.3051 0.2193 0.8519 0.6463 0.0641 0.6857
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+ 10.295568 6.5374 7.6957 7.6302 6.9420 4.8043 2.4803 2.5054 1.9851 1.3060 0.2213 0.8551 0.6486 0.0656 0.6881
+ 10.301030 6.5461 7.7080 7.6418 6.9526 4.8115 2.4315 2.4785 1.9767 1.3056 0.2221 0.8566 0.6497 0.0661 0.6893
diff --git a/config/opt/SSP/P94_salpeter/bc2003_lr_m42_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_lr_m42_salp_ssp.1color
new file mode 100644
index 0000000..75d98d8
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_lr_m42_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:09:47 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m42_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.756, Y=0.24, Z=0.004 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
+ 5.100002 -2.1291 0.4862 1.5558 1.8498 2.5485 -4.7787 -3.7581 -3.2083 -2.6300 -1.0524 -0.3368 -0.1750 -1.0696 -0.2941
+ 5.150001 -2.1291 0.4862 1.5558 1.8498 2.5485 -4.7787 -3.7581 -3.2083 -2.6300 -1.0524 -0.3368 -0.1750 -1.0696 -0.2941
+ 5.199999 -2.1291 0.4862 1.5558 1.8498 2.5485 -4.7787 -3.7581 -3.2083 -2.6300 -1.0524 -0.3368 -0.1750 -1.0696 -0.2941
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diff --git a/config/opt/SSP/P94_salpeter/bc2003_lr_m52_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_lr_m52_salp_ssp.1color
new file mode 100644
index 0000000..6c8b449
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_lr_m52_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:12:16 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m52_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.742, Y=0.25, Z=0.008 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
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diff --git a/config/opt/SSP/P94_salpeter/bc2003_lr_m62_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_lr_m62_salp_ssp.1color
new file mode 100644
index 0000000..49d3d37
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_lr_m62_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:16:09 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m62_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.70, Y=0.28, Z=0.02 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
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+ 5.150001 -2.2362 0.1446 1.1943 1.4764 2.1661 -4.6203 -3.6519 -3.1639 -2.5949 -1.0313 -0.3393 -0.1902 -1.0497 -0.2821
+ 5.199999 -2.2362 0.1446 1.1943 1.4764 2.1661 -4.6203 -3.6519 -3.1639 -2.5949 -1.0313 -0.3393 -0.1902 -1.0497 -0.2821
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+ 10.249198 6.8325 9.4703 8.7338 7.7334 4.4244 3.5623 4.3761 4.4862 3.0747 0.9429 1.1580 0.8613 0.7365 1.0004
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+ 10.284431 6.8788 9.5595 8.8037 7.7950 4.4615 3.4788 4.2865 4.4259 3.1135 0.9633 1.1671 0.8690 0.7558 1.0086
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+ 10.295568 6.8944 9.5889 8.8269 7.8154 4.4742 3.4785 4.2867 4.4341 3.1308 0.9699 1.1702 0.8717 0.7620 1.0115
+ 10.301030 6.9023 9.6018 8.8369 7.8248 4.4811 3.5148 4.3256 4.4713 3.1457 0.9728 1.1710 0.8727 0.7649 1.0121
diff --git a/config/opt/SSP/P94_salpeter/bc2003_lr_m72_salp_ssp.1color b/config/opt/SSP/P94_salpeter/bc2003_lr_m72_salp_ssp.1color
new file mode 100644
index 0000000..66256b1
--- /dev/null
+++ b/config/opt/SSP/P94_salpeter/bc2003_lr_m72_salp_ssp.1color
@@ -0,0 +1,249 @@
+# Fri Aug 15 23:19:33 2003
+# I------------------------------------------------------------------------------------------------------------------------I
+# I I
+# I BC_GALAXEV --- MODEL PARAMETERS: Generic file name for this model = bc2003_lr_m72_salp_ssp I
+# I I
+# I TRACKS: Padova (1994) + S. Charlot (1997). X=0.5980, Y=0.352, Z=0.0500 I
+# I I
+# I S.F.R.: SSP = Zero Length Burst at t = 0 I
+# I I
+# I I
+# I I.M.F.: Power law ( 1 segments): I
+# I mass in number I
+# I x from m to m segment of stars c I
+# I 1.35 0.10 100.00 1.0000 2.8460 1.7164E-01 I
+# I I
+# I totals 1.0000 2.8460 0.3514 Mo/star I
+# I I
+# I I
+# I I
+# I I
+# I I
+# I LISTED: Rest frame properties I
+# I I
+# I I
+# I (C) 1995-2003 G. Bruzual A. & S. Charlot - All Rights Reserved I
+# I------------------------------------------------------------------------------------------------------------------------I
+#
+#log-age-yr Mbol Umag Bmag Vmag Kmag 14-V 17-V 22-V 27-V U-J J-F F-N U-B B-V
+# (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)
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+ 5.150001 -2.4446 -0.2391 0.8021 1.0814 1.8266 -4.5461 -3.6097 -3.1633 -2.5956 -1.0217 -0.3445 -0.2036 -1.0411 -0.2793
+ 5.199999 -2.4207 -0.2211 0.8188 1.0976 1.8407 -4.5405 -3.6045 -3.1590 -2.5921 -1.0204 -0.3437 -0.2030 -1.0398 -0.2788
+ 5.250000 -2.3960 -0.2026 0.8359 1.1142 1.8551 -4.5347 -3.5992 -3.1546 -2.5883 -1.0191 -0.3429 -0.2024 -1.0385 -0.2783
+ 5.300002 -2.3707 -0.1835 0.8535 1.1312 1.8698 -4.5287 -3.5936 -3.1499 -2.5845 -1.0176 -0.3421 -0.2017 -1.0370 -0.2777
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diff --git a/config/opt/SSP/bastiMS.dat b/config/opt/SSP/bastiMS.dat
new file mode 100644
index 0000000..1d1e791
--- /dev/null
+++ b/config/opt/SSP/bastiMS.dat
@@ -0,0 +1,50 @@
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diff --git a/config/opt/SSP/bastirgb.dat b/config/opt/SSP/bastirgb.dat
new file mode 100644
index 0000000..9949106
--- /dev/null
+++ b/config/opt/SSP/bastirgb.dat
@@ -0,0 +1,50 @@
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diff --git a/config/opt/SSP/vazdekis_bi_mu1.3.txt b/config/opt/SSP/vazdekis_bi_mu1.3.txt
new file mode 100644
index 0000000..c4ba7d6
--- /dev/null
+++ b/config/opt/SSP/vazdekis_bi_mu1.3.txt
@@ -0,0 +1,352 @@
+#IMF [M/H] Age U B V R I J H K U-V B-V V-R V-I V-J V-H V-K (M/L)U (M/L)B (M/L)V (M/L)R (M/L)I (M/L)J (M/L)H (M/L)K F439W F555W F675W F814W 439-555 555-675 555-814
+#=========================================================================================================================================================================================================================================================
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diff --git a/config/opt/SSP/vazdekis_kb_mu1.3.txt b/config/opt/SSP/vazdekis_kb_mu1.3.txt
new file mode 100644
index 0000000..fce2f06
--- /dev/null
+++ b/config/opt/SSP/vazdekis_kb_mu1.3.txt
@@ -0,0 +1,352 @@
+#IMF [M/H] Age U B V R I J H K U-V B-V V-R V-I V-J V-H V-K (M/L)U (M/L)B (M/L)V (M/L)R (M/L)I (M/L)J (M/L)H (M/L)K F439W F555W F675W F814W 439-555 555-675 555-814
+#=========================================================================================================================================================================================================================================================
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diff --git a/config/opt/SSP/vazdekis_ku_mu1.3.txt b/config/opt/SSP/vazdekis_ku_mu1.3.txt
new file mode 100644
index 0000000..3fbba1b
--- /dev/null
+++ b/config/opt/SSP/vazdekis_ku_mu1.3.txt
@@ -0,0 +1,352 @@
+#IMF [M/H] Age U B V R I J H K U-V B-V V-R V-I V-J V-H V-K (M/L)U (M/L)B (M/L)V (M/L)R (M/L)I (M/L)J (M/L)H (M/L)K F439W F555W F675W F814W 439-555 555-675 555-814
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diff --git a/config/opt/SSP/vazdekis_un_mu1.3.txt b/config/opt/SSP/vazdekis_un_mu1.3.txt
new file mode 100644
index 0000000..aa6b7ba
--- /dev/null
+++ b/config/opt/SSP/vazdekis_un_mu1.3.txt
@@ -0,0 +1,352 @@
+#IMF [M/H] Age U B V R I J H K U-V B-V V-R V-I V-J V-H V-K (M/L)U (M/L)B (M/L)V (M/L)R (M/L)I (M/L)J (M/L)H (M/L)K F439W F555W F675W F814W 439-555 555-675 555-814
+#=========================================================================================================================================================================================================================================================
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+1.30 0.2223 0.1995 4.914 4.976 4.822 4.653 4.408 3.752 3.182 2.984 0.091 0.153 0.169 0.414 1.071 1.640 1.838 0.153 0.187 0.288 0.344 0.365 0.298 0.237 0.208 4.986 4.828 4.617 4.427 0.158 0.211 0.401
+1.30 0.2223 0.2239 5.059 5.072 4.901 4.726 4.481 3.840 3.286 3.095 0.158 0.171 0.174 0.420 1.060 1.615 1.806 0.174 0.204 0.308 0.366 0.389 0.322 0.260 0.230 5.082 4.907 4.689 4.500 0.176 0.218 0.407
+1.30 0.2223 0.2512 5.212 5.177 4.985 4.804 4.553 3.897 3.341 3.148 0.227 0.193 0.181 0.432 1.088 1.643 1.837 0.199 0.224 0.332 0.392 0.414 0.339 0.272 0.240 5.188 4.991 4.765 4.572 0.197 0.227 0.419
+1.30 0.2223 0.2818 5.349 5.281 5.070 4.884 4.628 3.958 3.402 3.206 0.279 0.211 0.187 0.442 1.112 1.669 1.864 0.226 0.245 0.358 0.420 0.442 0.357 0.287 0.253 5.292 5.077 4.843 4.648 0.215 0.234 0.429
+1.30 0.2223 0.3162 5.484 5.394 5.157 4.957 4.690 4.012 3.456 3.260 0.327 0.237 0.200 0.466 1.145 1.701 1.897 0.254 0.271 0.386 0.448 0.466 0.373 0.300 0.264 5.405 5.165 4.914 4.711 0.240 0.251 0.454
+1.30 0.2223 0.3548 5.616 5.509 5.244 5.029 4.749 4.053 3.493 3.296 0.372 0.265 0.215 0.495 1.191 1.751 1.948 0.286 0.300 0.417 0.477 0.491 0.387 0.310 0.272 5.521 5.254 4.983 4.771 0.267 0.271 0.483
+1.30 0.2223 0.3981 5.760 5.637 5.344 5.113 4.822 4.106 3.540 3.340 0.416 0.294 0.231 0.522 1.238 1.803 2.004 0.326 0.337 0.455 0.513 0.523 0.404 0.322 0.283 5.651 5.355 5.064 4.845 0.295 0.291 0.510
+1.30 0.2223 0.4467 5.902 5.769 5.442 5.196 4.895 4.152 3.579 3.377 0.459 0.327 0.246 0.547 1.291 1.863 2.066 0.370 0.379 0.497 0.552 0.557 0.420 0.333 0.291 5.784 5.455 5.144 4.919 0.329 0.310 0.536
+1.30 0.2223 0.5012 6.041 5.905 5.539 5.274 4.961 4.193 3.613 3.409 0.502 0.365 0.265 0.578 1.346 1.926 2.130 0.419 0.428 0.541 0.591 0.590 0.435 0.342 0.299 5.921 5.553 5.219 4.987 0.368 0.333 0.566
+1.30 0.2223 0.5623 6.192 6.053 5.645 5.358 5.025 4.250 3.666 3.462 0.547 0.408 0.287 0.619 1.394 1.978 2.183 0.479 0.488 0.594 0.636 0.624 0.457 0.358 0.313 6.071 5.660 5.299 5.052 0.412 0.361 0.608
+1.30 0.2223 0.6310 6.341 6.201 5.751 5.444 5.098 4.312 3.724 3.519 0.590 0.450 0.307 0.653 1.439 2.027 2.232 0.548 0.557 0.653 0.686 0.664 0.482 0.376 0.328 6.222 5.768 5.381 5.126 0.454 0.387 0.642
+1.30 0.2223 0.7079 6.504 6.357 5.865 5.537 5.173 4.377 3.784 3.578 0.639 0.492 0.328 0.692 1.488 2.081 2.287 0.634 0.641 0.722 0.744 0.709 0.509 0.396 0.345 6.381 5.883 5.470 5.202 0.498 0.413 0.681
+1.30 0.2223 0.7943 6.679 6.515 5.977 5.627 5.247 4.435 3.836 3.629 0.702 0.538 0.350 0.730 1.542 2.142 2.348 0.742 0.739 0.798 0.806 0.756 0.535 0.413 0.361 6.543 5.997 5.557 5.278 0.546 0.440 0.718
+1.30 0.2223 0.8913 6.855 6.669 6.088 5.717 5.320 4.488 3.881 3.673 0.767 0.581 0.371 0.768 1.600 2.208 2.415 0.870 0.848 0.880 0.872 0.806 0.560 0.429 0.374 6.700 6.109 5.644 5.352 0.592 0.465 0.756
+1.30 0.2223 1.0000 7.020 6.809 6.188 5.799 5.387 4.543 3.931 3.724 0.832 0.620 0.389 0.801 1.645 2.257 2.464 1.008 0.960 0.961 0.936 0.853 0.586 0.448 0.390 6.843 6.209 5.723 5.420 0.634 0.487 0.789
+1.30 0.2223 1.1220 7.195 6.956 6.298 5.891 5.465 4.609 3.992 3.786 0.897 0.658 0.407 0.833 1.689 2.305 2.512 1.179 1.095 1.059 1.015 0.913 0.621 0.472 0.412 6.994 6.319 5.812 5.499 0.675 0.507 0.820
+1.30 0.2223 1.2589 7.355 7.082 6.384 5.956 5.513 4.648 4.025 3.820 0.971 0.698 0.427 0.870 1.736 2.359 2.564 1.361 1.226 1.141 1.074 0.951 0.641 0.484 0.423 7.125 6.406 5.875 5.549 0.719 0.532 0.857
+1.30 0.2223 1.4125 7.508 7.178 6.417 5.951 5.471 4.588 3.947 3.743 1.091 0.761 0.466 0.946 1.829 2.470 2.674 1.560 1.333 1.172 1.064 0.910 0.604 0.449 0.392 7.228 6.440 5.864 5.508 0.788 0.576 0.932
+1.30 0.2223 1.5849 7.693 7.320 6.505 5.998 5.443 4.396 3.676 3.438 1.188 0.815 0.507 1.062 2.109 2.829 3.067 1.839 1.509 1.263 1.104 0.882 0.503 0.348 0.294 7.377 6.529 5.907 5.481 0.849 0.622 1.047
+1.30 0.2223 1.7783 7.903 7.563 6.774 6.282 5.755 4.836 4.163 3.952 1.129 0.789 0.492 1.019 1.938 2.611 2.823 2.216 1.877 1.607 1.425 1.168 0.749 0.541 0.469 7.617 6.798 6.193 5.795 0.819 0.605 1.003
+1.30 0.2223 1.9953 8.078 7.719 6.910 6.407 5.870 4.957 4.285 4.077 1.168 0.809 0.502 1.040 1.953 2.625 2.833 2.592 2.155 1.813 1.592 1.292 0.833 0.602 0.524 7.775 6.934 6.317 5.911 0.841 0.617 1.023
+1.30 0.2223 2.2387 8.250 7.861 7.028 6.514 5.964 5.047 4.373 4.167 1.221 0.833 0.514 1.064 1.981 2.655 2.862 3.023 2.446 2.013 1.748 1.402 0.901 0.650 0.567 7.920 7.053 6.422 6.006 0.868 0.631 1.047
+1.30 0.2223 2.5119 8.428 8.012 7.159 6.633 6.069 5.135 4.454 4.247 1.270 0.853 0.525 1.089 2.024 2.705 2.912 3.550 2.801 2.261 1.943 1.539 0.974 0.698 0.608 8.074 7.184 6.540 6.112 0.891 0.643 1.071
+1.30 0.2223 2.8184 8.607 8.156 7.279 6.742 6.166 5.221 4.535 4.328 1.327 0.877 0.537 1.114 2.059 2.744 2.951 4.170 3.187 2.518 2.141 1.677 1.050 0.749 0.653 8.222 7.305 6.648 6.210 0.917 0.657 1.095
+1.30 0.2223 3.1623 8.785 8.288 7.383 6.833 6.247 5.300 4.615 4.409 1.402 0.905 0.550 1.136 2.083 2.768 2.974 4.892 3.584 2.760 2.318 1.800 1.126 0.803 0.701 8.358 7.409 6.738 6.292 0.949 0.671 1.117
+1.30 0.2223 3.5481 8.941 8.402 7.473 6.911 6.315 5.350 4.658 4.450 1.469 0.930 0.562 1.158 2.123 2.815 3.023 5.630 3.967 2.986 2.482 1.909 1.174 0.832 0.725 8.476 7.499 6.815 6.361 0.977 0.684 1.138
+1.30 0.2223 3.9811 9.098 8.533 7.589 7.021 6.416 5.425 4.725 4.511 1.509 0.943 0.568 1.173 2.165 2.865 3.078 6.483 4.458 3.313 2.737 2.088 1.253 0.882 0.764 8.609 7.616 6.924 6.462 0.993 0.692 1.153
+1.30 0.2223 4.4668 9.230 8.640 7.683 7.109 6.502 5.522 4.827 4.617 1.546 0.956 0.574 1.182 2.162 2.857 3.067 7.292 4.903 3.601 2.958 2.252 1.366 0.966 0.839 8.718 7.710 7.012 6.549 1.008 0.698 1.161
+1.30 0.2223 5.0119 9.295 8.722 7.776 7.206 6.601 5.620 4.926 4.716 1.519 0.946 0.571 1.175 2.157 2.850 3.061 7.719 5.272 3.908 3.221 2.458 1.489 1.054 0.916 8.799 7.803 7.109 6.649 0.996 0.694 1.154
+1.30 0.2223 5.6234 9.439 8.842 7.883 7.305 6.693 5.702 5.006 4.794 1.556 0.959 0.578 1.190 2.181 2.877 3.089 8.776 5.862 4.295 3.517 2.665 1.600 1.130 0.981 8.921 7.910 7.208 6.742 1.010 0.702 1.169
+1.30 0.2223 6.3096 9.603 8.984 8.014 7.429 6.808 5.808 5.108 4.896 1.590 0.970 0.585 1.206 2.206 2.905 3.118 10.181 6.662 4.829 3.929 2.955 1.758 1.239 1.075 9.065 8.041 7.332 6.858 1.023 0.710 1.183
+1.30 0.2223 7.0795 9.744 9.101 8.121 7.530 6.904 5.888 5.185 4.970 1.623 0.981 0.590 1.216 2.232 2.935 3.151 11.555 7.403 5.315 4.303 3.219 1.888 1.326 1.147 9.184 8.149 7.433 6.955 1.035 0.716 1.193
+1.30 0.2223 7.9433 9.886 9.215 8.220 7.623 6.990 5.960 5.252 5.033 1.666 0.995 0.597 1.231 2.261 2.968 3.187 13.142 8.197 5.811 4.674 3.474 2.011 1.406 1.213 9.300 8.249 7.525 7.042 1.051 0.724 1.207
+1.30 0.2223 8.9125 10.028 9.326 8.319 7.714 7.075 6.044 5.337 5.120 1.709 1.008 0.604 1.243 2.275 2.981 3.199 14.929 9.057 6.343 5.069 3.747 2.167 1.517 1.309 9.414 8.348 7.617 7.129 1.066 0.731 1.219
+1.30 0.2223 10.0000 10.161 9.433 8.414 7.803 7.158 6.127 5.422 5.206 1.747 1.019 0.611 1.256 2.287 2.992 3.208 16.826 9.965 6.904 5.485 4.032 2.333 1.635 1.414 9.523 8.443 7.705 7.213 1.080 0.738 1.231
+1.30 0.2223 11.2202 10.304 9.542 8.505 7.886 7.232 6.191 5.483 5.266 1.799 1.036 0.620 1.273 2.315 3.022 3.240 19.147 10.982 7.492 5.903 4.306 2.468 1.725 1.490 9.634 8.535 7.787 7.288 1.099 0.748 1.247
+1.30 0.2223 12.5893 10.458 9.658 8.605 7.976 7.314 6.259 5.548 5.329 1.853 1.053 0.629 1.291 2.345 3.056 3.275 22.003 12.190 8.188 6.399 4.630 2.622 1.828 1.576 9.754 8.635 7.877 7.371 1.119 0.758 1.264
+1.30 0.2223 14.1254 10.607 9.771 8.702 8.066 7.397 6.341 5.631 5.413 1.905 1.069 0.637 1.306 2.361 3.072 3.290 25.183 13.495 8.936 6.932 4.986 2.819 1.967 1.697 9.870 8.733 7.967 7.456 1.137 0.766 1.277
+1.30 0.2223 15.8489 10.758 9.891 8.809 8.165 7.486 6.415 5.701 5.481 1.948 1.081 0.645 1.324 2.395 3.108 3.329 28.861 15.034 9.839 7.575 5.397 3.010 2.093 1.802 9.993 8.841 8.066 7.547 1.152 0.775 1.294
+1.30 0.2223 17.7828 10.898 10.005 8.913 8.261 7.573 6.488 5.772 5.550 1.985 1.092 0.652 1.340 2.425 3.141 3.363 32.751 16.656 10.798 8.257 5.834 3.214 2.229 1.916 10.109 8.945 8.162 7.636 1.163 0.783 1.310
diff --git a/examples/ic/generate_spherical_model_g2c.py b/examples/ic/generate_spherical_model_g2c.py
index e79d96c..1842526 100755
--- a/examples/ic/generate_spherical_model_g2c.py
+++ b/examples/ic/generate_spherical_model_g2c.py
@@ -1,126 +1,126 @@
#!/usr/bin/env python
import Ptools as pt
from numpy import *
from pNbody import ic
from pNbody import profiles
from pNbody import libutil
from scipy import optimize
import sys
# parameters for the profile
n = 2**17
rs = 20.
a = 0.
b = 3.
rmax = 200.
M = 1.
# parameters for the profile generation
Neps_des = 10. # number of des. points in eps
ng = 256 # number of division to generate the model
rc = 0.1 # default rc (if automatic rc fails) length scale of the grid
# random params
seed = 1
# param for the plot
dR = 0.1
nr = int(rmax/dR)
pr_fct = profiles.generic2c_profile
mr_fct = profiles.generic2c_mr
ic_fct = ic.generic2c
args = (rs,a,b)
# compute grid parameters
Rs,rc,eps,Neps,g,gm = ic.ComputeGridParameters(n,args,rmax,M,pr_fct,mr_fct,Neps_des,rc,ng)
# create the model
ic_args = (n,)+args+(rmax,None,Rs,seed,'snap.dat','gadget')
-nb = ic.generic2c(n,rs,a,b,rmax,dR,Rs,"g2c.dat",ftype='gadget')
+nb = ic.generic2c(n,rs,a,b,rmax,dR,Rs,seed,"g2c.dat",ftype='gadget')
nb.write()
# check
nbs = nb.selectc(nb.rxyz() 0:
self.file_offset = n_png_files
def info(self):
print "INFO INFO INFO"
#print self.film
print self.parameterfile
print self.getftype()
print "INFO INFO INFO"
def read_parameterfile(self):
if not os.path.isfile(self.parameterfile):
raise IOError(915,'file %s not found ! Pease check the file name.'%(self.parameterfile))
# import the parameter file as a module
module_name = os.path.basename(os.path.splitext(self.parameterfile)[0])
module_dir = os.path.dirname(self.parameterfile)
-
+
if sys.path.count(module_dir) == 0:
sys.path.append(module_dir)
filmparam = __import__(module_name,globals(), locals(), [], -1)
self.film = filmparam.film
# set some defaults
if not self.film.has_key('timesteps'):
self.film['timesteps'] = self.DEFAULT_TIMESTEPS
if not self.film.has_key('imdir'):
self.film['imdir'] = self.DEFAULT_IMDIR
if not self.film.has_key('format'):
self.film['format'] = self.DEFAULT_FORMAT
if not self.film.has_key('pio'):
self.film['pio'] = self.DEFAULT_PIO
if not self.film.has_key('compress'):
self.film['compress'] = self.DEFAULT_COMPRESS
self.setftype(self.film['ftype'])
# post process
for i,frame in enumerate(self.film['frames']):
frame['id'] = i
# check
#for frame in self.film['frames']:
# print frame['id']
# for component in frame['components']:
# print " ",component['id']
##################################
# time steps stuffs
##################################
def set_timesteps(self):
"""
define self.times (which is a list) based
on the value contained in self.film['timesteps']
"""
# self.times
if self.film['timesteps']=='every':
self.times="every"
elif type(self.film['timesteps']) == types.StringType:
fname = self.film['timesteps']
if not os.path.isfile(fname):
raise IOError(916,'file %s not found ! Pease check the file name.'%(fname))
times = io.read_ascii(fname,[0])[0]
times = take( times,len(times)-1-arange(len(times))) # invert order
times = times.tolist()
self.times = times
elif type(self.film['timesteps']) == types.ListType:
self.times = self.film['timesteps']
elif type(self.film['timesteps']) == types.TupleType:
t0 = self.film['timesteps'][0]
t1 = self.film['timesteps'][1]
dt = self.film['timesteps'][2]
times = arange(t0,t1,dt)
times = take( times,len(times)-1-arange(len(times))) # invert order
times = times.tolist()
self.times = times
else:
self.times=[]
def set_next_time(self):
if self.times!="every":
if len(self.times)>0:
self.times.pop()
def get_next_time(self):
if self.times=="every":
return 0.0
if len(self.times)==0:
return None
else:
return self.times[-1]
def getftype(self):
return self.ftype
def setftype(self,ftype):
self.ftype = ftype
def ApplyFilmParam(self,nb,film):
# set time reference for this file
exec("nb.tnow = %s"%film['time'])
# exec1
if film.has_key('exec'):
if film['exec'] != None:
exec(film['exec'])
# macro
if film.has_key('macro'):
if film['macro'] != None:
execfile(film['macro'])
return nb
def ApplyFrameParam(self,nb,frame):
nbf = nb
# exec
if frame.has_key('exec'):
if frame['exec'] != None:
exec(frame['exec'])
# macro
if frame.has_key('macro'):
if frame['macro'] != None:
execfile(frame['macro'])
return nbf
def ApplyComponentParam(self,nbf,component):
if component['id'][0] == '@':
# here, all tasks must have an object containing all particles
# ok, but not in the right order !!!
nbfc = Nbody(componentid,self.getftype())
nbfc = nbfc.SendAllToAll()
nbfc.sort()
nbfc.componentid=component['id']#[1:]
elif component['id'][0] == '#':
nbfc = nbf
nbfc.componentid = component['id']#[1:]
else:
nbfc = nbf.select(component['id'])
nbfc.componentid = component['id']
# exec
if component.has_key('exec'):
if component['exec'] != None:
exec(component['exec'])
# macro
if component.has_key('macro'):
if component['macro'] != None:
execfile(component['macro'])
#print "------------------------"
#print min(nbfc.u),max(nbfc.u)
#print min(nbfc.rho),max(nbfc.rho)
#print min(nbfc.tpe),max(nbfc.tpe)
#print "temperature",min(nbfc.T()),max(nbfc.T())
#print nbfc.nbody
#print min(nbfc.rsp),max(nbfc.rsp)
#print "------------------------"
return nbfc
def dump(self,dict):
# exctract dict
atime = dict['atime']
pos = dict['pos']
# create nbody object
nb = Nbody(pos=pos,ftype='gadget')
nb.atime = atime
# add other arrays
if dict.has_key('vel'):
nb.vel = dict['vel']
if dict.has_key('num'):
nb.num = dict['num']
if dict.has_key('mass'):
nb.mass = dict['mass']
if dict.has_key('tpe'):
nb.tpe = dict['tpe']
if dict.has_key('u'):
nb.u = dict['u']
if dict.has_key('rho'):
nb.rho = dict['rho']
if dict.has_key('rsp'):
nb.rsp = dict['rsp']
if dict.has_key('metals'):
nb.metals = dict['metals']
#!!!
nb.flag_chimie_extraheader=1
nb.ChimieNelements = 5
nb.flag_metals = 5
nb.ChimieSolarMassAbundances={}
nb.ChimieSolarMassAbundances['Fe']=0.00176604
nb.init()
#print "################################"
#print "writing qq.dat"
#print "################################"
#nb.rename('qq.dat')
#nb.write()
self.dumpimage(nb=nb)
def dumpimage(self,nb=None,file=None):
# increment counter
self.ifile+=1
# skip file if needed
if self.ifile0:
#################################################
- # 1) use an outer script to create an img (this is a bit redundant with 2.2, see below )
- #################################################
+ # 1) use an outer script to create an img (this is a bit redundant with 2.2, see below )
+ #################################################
output= "/tmp/%015d.png"%(int(random.random()*1e17))
for cmd in frame['ext_cmd']:
exec(cmd)
if mpi.mpi_IsMaster():
img = Image.open(output)
imgs.append(img)
if os.path.exists(output):
os.remove(output)
continue
# composition parameters
if frame.has_key('cargs'):
if len(frame['cargs'])!=0:
frame['compose']=True
datas = []
else:
frame['compose']=False
else:
frame['cargs']=[]
frame['compose']=False
for component in frame['components']:
if mpi.mpi_IsMaster():
print "------------------------"
print "component",component['id']
print "------------------------"
nbfc = self.ApplyComponentParam(nbf,component)
# find the observer position
# 1) from params
# 2) from pfile
# 3) from tdir
# and transform into parameter
if frame['tdir']!=None:
tfiles = glob.glob(os.path.join(frame['tdir'],"*"))
tfiles.sort()
bname = os.path.basename(file)
tfiles_for_this_file = []
for j in xrange(len(tfiles)):
tfile = "%s.%05d"%(os.path.basename(file),j)
tmp_tfile = os.path.join(frame['tdir'],tfile)
if os.path.exists(tmp_tfile):
tfiles_for_this_file.append(tmp_tfile)
elif frame['pfile']!=None:
if not os.path.isfile(frame['pfile']):
print "parameter file %s does not exists(1)..."%(frame['pfile'])
# read from pfile defined in frame
param = ReadNbodyParameters(frame['pfile'])
tfiles_for_this_file = [None]
else:
# take frame as parameter
param = copy.copy(frame)
tfiles_for_this_file = [None]
# loop over different oberver positions for this file
for iobs,tfile in enumerate(tfiles_for_this_file):
if tfile!=None:
param = ReadNbodyParameters(tfile)
# add parameters defined by user in the parameter file
for key in component.keys():
param[key] = component[key]
# set image shape using frame
param['shape'] = (frame['width'],frame['height'])
# compute map
mat = nbfc.CombiMap(param)
if mpi.mpi_IsMaster():
if frame['compose']:
datas.append(mat)
if component.has_key('ext_cmd'):
#################################################
# 1) use an outer script to create an img
#################################################
if len(component['ext_cmd'])>0:
output= "/tmp/%015d.png"%(int(random.random()*1e17))
for cmd in component['ext_cmd']:
exec(cmd)
if mpi.mpi_IsMaster():
img = Image.open(output)
imgs.append(img)
if os.path.exists(output):
os.remove(output)
elif self.film["format"]=="fits":
#################################
# 1) save fits file
#################################
output = '%04d_%04d-%s-%06d.fits'%(self.ifile,frame['id'],component['id'],iobs)
output = os.path.join(self.imdir,output)
print nb.atime,output
if os.path.exists(output):
os.remove(output)
header = [('TIME',nb.tnow,'snapshot time')]
io.WriteFits(transpose(mat), output, extraHeader = header)
# compress
if self.compress:
gzip_compress(output)
os.remove(output)
elif self.film["format"]=="png":
#################################
# 2) output png file or ...
#################################
output = '%04d_%04d-%s-%06d.png'%(self.ifile,frame['id'],nbfc.componentid,iobs)
output = os.path.join(self.imdir,output)
print nb.atime,output
# here, we should use component['scale'] ... not frame['scale'], no ?
if not frame.has_key('scale'):
frame['scale']=self.DEFAULT_SCALE
if not frame.has_key('cd'):
frame['cd']=self.DEFAULT_CD
if not frame.has_key('mn'):
frame['mn']=self.DEFAULT_MN
if not frame.has_key('mx'):
frame['mx']=self.DEFAULT_MX
if not frame.has_key('palette'):
frame['palette']=self.DEFAULT_PALETTE
matint,mn_opt,mx_opt,cd_opt = set_ranges(mat,scale=frame['scale'],cd=frame['cd'],mn=frame['mn'],mx=frame['mx'])
frame['mn'] = mn_opt
frame['mx'] = mx_opt
frame['cd'] = cd_opt
img = get_image(matint,palette_name=frame['palette'])
img.save(output)
print frame['mn'],frame['mx'],frame['cd']
# need to create an img
if component.has_key('to_img'):
if component['to_img']==True:
##########################################
# 2.1) create an img and apply commmands
##########################################
# get params
if not component.has_key('scale'):
component['scale']=self.DEFAULT_SCALE
if not component.has_key('cd'):
component['cd']=self.DEFAULT_CD
if not component.has_key('mn'):
component['mn']=self.DEFAULT_MN
if not component.has_key('mx'):
component['mx']=self.DEFAULT_MX
if not component.has_key('palette'):
component['palette']=self.DEFAULT_PALETTE
matint,mn_opt,mx_opt,cd_opt = set_ranges(mat,scale=component['scale'],cd=component['cd'],mn=component['mn'],mx=component['mx'])
img = get_image(matint,palette_name=component['palette'])
print mn_opt,mx_opt,cd_opt
# here we can add img commands....
if component.has_key('img_cmd'):
if len(component['img_cmd'])>0:
for cmd in component['img_cmd']:
exec(cmd)
# append img to list
img.atime = nb.atime
imgs.append(img)
elif type(component['to_img'])==types.StringType:
##########################################
# 2.2) use an outer script to create an img from mat
##########################################
output= "/tmp/%015d.png"%(int(random.random()*1e17))
# get params
if not component.has_key('scale'):
component['scale']=self.DEFAULT_SCALE
if not component.has_key('cd'):
component['cd']=self.DEFAULT_CD
if not component.has_key('mn'):
component['mn']=self.DEFAULT_MN
if not component.has_key('mx'):
component['mx']=self.DEFAULT_MX
if not component.has_key('palette'):
component['palette']=self.DEFAULT_PALETTE
component['atime']=nbfc.atime
mk = __import__(component['to_img'],globals(), locals(), [], -1)
mk.MkImage(mat,output,component)
img = Image.open(output)
imgs.append(img)
os.remove(output)
del nbf
#######################
# compose components
#######################
if frame['compose']:
if mpi.mpi_IsMaster():
img,cargs = Mtools.fits_compose_colors_img(datas,frame['cargs'])
# save
#output = '%04d_%04d.png'%(self.ifile,frame['id'])
#output = os.path.join(self.imdir,output)
#img.save(output)
# append img to list
img.atime = nb.atime
imgs.append(img)
del nb
#######################
# compose frames
#######################
if mpi.mpi_IsMaster():
if film.has_key('img_cmd'):
if len(film['img_cmd'])>0:
for cmd in film['img_cmd']:
exec(cmd)
output = '%04d.png'%(self.ifile)
output = os.path.join(self.imdir,output)
img.save(output)
img.i=0
diff --git a/pNbody/SSP/libRGBs.py b/pNbody/SSP/libRGBs.py
new file mode 100644
index 0000000..700d5a9
--- /dev/null
+++ b/pNbody/SSP/libRGBs.py
@@ -0,0 +1,89 @@
+#!/usr/bin/env python
+
+import scipy
+import scipy.interpolate
+from numpy import *
+from pylab import *
+
+import sys,os
+
+from pNbody import *
+
+#Should be in its own class...
+Kroupa_meanstar = 0.4820
+def Kroupa_IMF(m):
+ #Meanstar = 0.4820
+ A = 0.10629
+ if m <= 0.08:
+ return(A*m**-0.3)
+ elif m <= 0.5:
+ return(A*m**-1.8)
+ elif m <= 1:
+ return(A*m**-2.7)
+ else:
+ return(A*m**-2.3)
+
+def Kroupa_IMFint(m):
+ A = 0.10629
+
+ f = zeros(size(m))
+ f[where(m<=0.08)] = A*m**0.7/0.7 - 0.01864976527083534
+ f[where((m > 0.08)*(m<=0.5))] = -A*m**-.8/.8 + 1.0021446918927897 + 0.0072656
+ f[where((m>0.5)*(m<=1))] = -A*m**-1.7/1.7 + 0.2031395463734218+0.778083245211
+ f[where(m>1)] = -A*m**-1.3/1.3 + A*1**-1.3/1.3+0.918699
+ return(f)
+
+
+
+class NRGB:
+
+ def __init__(self,file):
+ self.fileMS = file+'MS.dat'
+ self.fileRGB = file+'rgb.dat'
+
+ self.ReadMS() #Read data file, create self.data
+ self.ReadRGB()
+ self.InterpolateMS()
+
+ self.InterpolateTRGB()
+
+
+ def ReadMS(self):
+ pass
+
+ def ReadRGB(self):
+ pass
+ def InterpolateMS(self):
+ pass
+
+ def InterpolateTRGB(self):
+ pass
+
+
+ Kroupa_meanstar = 0.4820
+ def Kroupa_IMF(m):
+ #Meanstar = 0.4820
+ A = 0.10629
+ if m <= 0.08:
+ return(A*m**-0.3)
+ elif m <= 0.5:
+ return(A*m**-1.8)
+ elif m <= 1:
+ return(A*m**-2.7)
+ else:
+ return(A*m**-2.3)
+
+ def Kroupa_IMFint(m):
+ A = 0.10629
+
+ f = zeros(size(m))
+ f[where(m<=0.08)] = A*m**0.7/0.7 - 0.01864976527083534
+ f[where((m > 0.08)*(m<=0.5))] = -A*m**-.8/.8 + 1.0021446918927897 + 0.0072656
+ f[where((m>0.5)*(m<=1))] = -A*m**-1.7/1.7 + 0.2031395463734218+0.778083245211
+ f[where(m>1)] = -A*m**-1.3/1.3 + A*1**-1.3/1.3+0.918699
+ return(f)
+
+
+ def RGBs(self,Zs,Ages):
+ Frac = Kroupa_IMFint(self.InterpolateTRGB.ev(Zs,Ages)) - Kroupa_IMFint(self.InterpolateMS.ev(Zs,Ages))
+ return(Frac/Kroupa_meanstar)
diff --git a/pNbody/SSP/libbastitime.py b/pNbody/SSP/libbastitime.py
new file mode 100644
index 0000000..970870c
--- /dev/null
+++ b/pNbody/SSP/libbastitime.py
@@ -0,0 +1,29 @@
+#!/usr/bin/env python
+
+from numpy import *
+import scipy
+import scipy.interpolate
+from libRGBs import NRGB
+
+def readfile(file):
+ return(genfromtxt(file))
+
+ages = linspace(0.3,17,50)
+zs = [-3.62,-2.62,-2.14,-1.84,-1.62,-1.31,-1.01,-0.70,-0.60,-0.29,-0.09,0.05,0.16]
+class BastiRGB(NRGB):
+
+ def ReadMS(self):
+ self.dataMS = readfile(self.fileMS)
+ def ReadRGB(self):
+ self.dataRGB = readfile(self.fileRGB)
+
+ def InterpolateMS(self):
+ #Interpolate so you get the mass given the values
+ self.InterpolateMS = scipy.interpolate.RectBivariateSpline(ages,zs,self.dataMS,kx=1,ky=1)
+
+ def InterpolateTRGB(self):
+
+ self.InterpolateTRGB = scipy.interpolate.RectBivariateSpline(ages,zs,self.dataRGB,kx=1,ky=1)
+
+
+
diff --git a/pNbody/io.py b/pNbody/io.py
index b1889a3..e681a7f 100644
--- a/pNbody/io.py
+++ b/pNbody/io.py
@@ -1,764 +1,765 @@
# -*- coding: iso-8859-1 -*-
# standard modules
import os,sys,string,types
import pickle
# array module
from numpy import *
import pyfits
import mpi
#################################
def checkfile(name):
#################################
'''
Check if a file exists. An error is generated if the file
does not exists.
Parameters
----------
name : the path to a filename
Examples
--------
>>> io.checkfile('an_existing_file')
>>>
>>> io.checkfile('a_non_existing_file')
Traceback (most recent call last):
File "", line 1, in
File "/home/epfl/revaz/local/lib64/python2.6/site-packages/pNbody/io.py", line 33, in checkfile
raise IOError(915,'file %s not found ! Pease check the file name.'%(name))
IOError: [Errno 915] file nofile not found ! Pease check the file name.
'''
if name == None:
raise Exception("file name set to None ! Please check the file name.")
if not os.path.isfile(name):
raise IOError(915,'file %s not found ! Pease check the file name.'%(name))
#################################
def end_of_file(f,pio='no',MPI=None):
#################################
'''
Return True if we have reached the end of the file f, False instead
Parameters
----------
f : ndarray or matrix object
an open file
pio : 'yes' or 'no'
if the file is read in parallel or not
MPI : MPI communicator
Returns
-------
status : Bool
True if the we reached the end of the file
False if not
'''
if pio=='no':
# here, the master decide for all slaves
if mpi.ThisTask == 0:
p1 = f.tell()
f.seek(0,2)
p2 = f.tell()
f.seek(p1)
if p1 == p2:
status = True
else:
status = False
else:
status = None
status = mpi.mpi_bcast(status,0)
return status
else:
# each processus decide for himself
p1 = f.tell()
f.seek(0,2)
p2 = f.tell()
f.seek(p1)
if p1 == p2:
status = True
else:
status = False
return status
#####################################################
def write_array(file,vec):
#####################################################
'''
Write an array to a file, in a very simple ascii format.
Parameters
----------
file : the path to a file
vec : an ndarray object
Examples
--------
>>> from numpy import *
>>> x = array([1,2,3])
>>> io.write_array('/tmp/array.dat',x)
'''
f = open(file,'w')
for i in range(len(vec)):
f.write("%f\n"%vec[i])
f.close()
#####################################################
def read_ascii(file,columns=None,lines=None,dtype=float,skipheader=False,cchar='#'):
#####################################################
'''
Read an ascii file.
The function allows to set the number of columns or line to read.
If it contains a header, the header is used to label all column. In
this case, a dictionary is returned.
Parameters
----------
file : the path to a file or an open file
columns : list
the list of the columns to read
if none, all columns are read
lines : list
the list of the lines to read
if none, all lines are read
dtype : dtype
the ndtype of the objects to read
skipheader : bool
if true, do not read the header
if there is one
cchar : char
lines begining with cchar are skiped
the first line is considered as the header
Returns
-------
data : Dict or ndarray
A python dictionary or an ndarray object
Examples
--------
>>> from numpy import *
>>> x = arange(10)
>>> y = x*x
>>> f = open('afile.txt','w')
>>> f.write("# x y")
>>> for i in xrange(len(x)):
... f.write('%g %g'%(x[i],y[i]))
...
>>> f.close()
>>> from pNbody import io
>>> data = io.read_ascii("afile.txt")
>>> data['x']
array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.])
>>> data['y']
array([ 0., 1., 4., 9., 16., 25., 36., 49., 64., 81.])
'''
def RemoveComments(l):
if l[0]==cchar:
return None
else:
return l
def toNumList(l):
return map(dtype,l)
if type(file) != types.FileType:
f = open(file,'r')
else:
f = file
# read header while there is one
while 1:
fpos = f.tell()
header = f.readline()
if header[0] != cchar:
f.seek(fpos)
header = None
break
else:
if skipheader:
header = None
else:
# create dict from header
header = string.strip(header[2:])
elts = string.split(header)
break
'''
# read header if there is one
header = f.readline()
if header[0] != cchar:
f.seek(0)
header = None
else:
if skipheader:
header = None
else:
# create dict from header
header = string.strip(header[2:])
elts = string.split(header)
'''
# now, read the file content
lines = f.readlines()
# remove trailing
lines = map(string.strip, lines)
# remove comments
#lines = map(RemoveComments, lines)
# split
lines = map(string.split, lines)
# convert into float
lines = map(toNumList, lines)
# convert into array
lines = array(map(array, lines))
# transpose
lines = transpose(lines)
if header != None:
iobs = {}
i = 0
for elt in elts:
iobs[elt]=i
i = i + 1
vals = {}
for key in iobs.keys():
vals[key] = lines[iobs[key]]
return vals
# return
if columns == None:
return lines
else:
return lines.take(axis=0,indices=columns)
#####################################################
def write_dmp(file,data):
#####################################################
'''
Write a dmp (pickle) file. In other word,
dump the data object.
Parameters
----------
file : the path to a file
data : a pickable python object
Examples
--------
>>> x = {'a':1,'b':2}
>>> io.write_dmp('/tmp/afile.dmp',x)
'''
f = open(file,'w')
pickle.dump(data, f)
f.close()
#####################################################
def read_dmp(file):
#####################################################
'''
Read a dmp (pickle) file.
Parameters
----------
file : the path to a file
Returns
-------
data : a python object
Examples
--------
>>> x = {'a':1,'b':2}
>>> io.write_dmp('/tmp/afile.dmp',x)
>>> y = io.read_dmp('/tmp/afile.dmp')
>>> y
{'a': 1, 'b': 2}
'''
f = open(file,'r')
data = pickle.load(f)
f.close()
return data
#####################################################
def WriteFits(data, filename, extraHeader = None) :
#####################################################
'''
Write a fits file
'''
# image creation
fitsimg = pyfits.HDUList()
# add data
hdu = pyfits.PrimaryHDU()
hdu.data = data
fitsimg.append(hdu)
# add keys
keys = []
if extraHeader != None:
#keys.append(('INSTRUME','st4 SBIG ccd camera','Instrument name'))
#keys.append(('LOCATION',"175 OFXB St-Luc (VS)",'Location'))
keys = extraHeader
hdr = fitsimg[0].header
for key in keys:
hdr.update(key[0],key[1],comment=key[2])
fitsimg.writeto(filename)
#####################################################
def ReadFits(filename) :
#####################################################
'''
Read a fits file.
'''
# read image
fitsimg = pyfits.open(filename)
data = fitsimg[0].data
return data
#################################
def readblock(f,data_type,shape=None,byteorder=sys.byteorder):
#################################
'''
data_type = int,float32,float
or
data_type = array
shape = tuple
'''
# compute the number of bytes that should be read
nbytes_to_read=None
if shape!=None:
shape_a = array(shape)
nelts_to_read = shape_a[0]
for n in shape_a[1:]:
nelts_to_read = nelts_to_read*n
nbytes_to_read = nelts_to_read*dtype(data_type).itemsize
try:
nb1 = fromstring(f.read(4),int32)
if sys.byteorder != byteorder:
nb1.byteswap(True)
nb1 = nb1[0]
nbytes=nb1
# check
if nbytes_to_read:
if nbytes_to_read!=nbytes:
print "inconsistent block header, using nbytes=%d instead"%nbytes_to_read
nbytes=nbytes_to_read
except IndexError:
raise "ReadBlockError"
if type(data_type) == types.TupleType:
data = []
for tpe in data_type:
if type(tpe) == int:
val = f.read(tpe)
else:
bytes = dtype(tpe).itemsize
val = fromstring(f.read(bytes),tpe)
if sys.byteorder != byteorder:
val.byteswap(True)
val = val[0]
data.append(val)
else:
data = fromstring(f.read(nbytes),data_type)
if sys.byteorder != byteorder:
data.byteswap(True)
nb2 = fromstring(f.read(4),int32)
if sys.byteorder != byteorder:
nb2.byteswap(True)
nb2 = nb2[0]
if nb1 != nb2:
+ print "ReadBlockError","nb1=%d nb2=%d"%(nb1,nb2)
raise "ReadBlockError","nb1=%d nb2=%d"%(nb1,nb2)
# reshape if needed
if shape != None:
data.shape=shape
return data
#################################
def ReadBlock(f,data_type,shape=None,byteorder=sys.byteorder,pio='no'):
#################################
'''
data_type = int,float32,float
or
data_type = array
shape = tuple
pio : parallel io, 'yes' or 'no'
if 'yes', each proc read each file
if 'no', proc 0 read and send to each other
'''
if mpi.NTask==1:
data = readblock(f,data_type=data_type,shape=shape,byteorder=byteorder)
return data
if pio == 'yes':
data = readblock(f,data_type=data_type,shape=shape,byteorder=byteorder)
return data
else:
data = mpi.mpi_ReadAndSendBlock(f,data_type=data_type,shape=shape,byteorder=byteorder)
return data
#################################
def ReadArray(f,data_type,shape=None,byteorder=sys.byteorder,pio='no',nlocal=None):
#################################
'''
data_type = int,float32,float
or
data_type = array
shape = tuple
'''
if mpi.NTask==1:
data = readblock(f,data_type=data_type,shape=shape,byteorder=byteorder)
return data
if pio == 'yes':
data = readblock(f,data_type=data_type,shape=shape,byteorder=byteorder)
return data
else:
data = mpi.mpi_OldReadAndSendArray(f,data_type,shape=shape,byteorder=byteorder,nlocal=nlocal)
return data
#################################
def ReadDataBlock(f,data_type,shape=None,byteorder=sys.byteorder,pio='no',npart=None):
#################################
'''
Read a block containg data.
If NTask = 1 or pio = 'yes', the block is read normally.
If NTask > 1 and pio = 'no', the master reads the block and send the data to the slaves.
In the second case :
a) the master send N/Ntask element to each task.
b) if the var npart is present, he send Np/Ntask to each task, for each Np of npart.
data_type = array
shape = tuple
'''
if mpi.NTask==1 or pio == 'yes':
data = readblock(f,data_type=data_type,shape=shape,byteorder=byteorder)
return data
else:
data = mpi.mpi_ReadAndSendArray(f,data_type,shape=shape,byteorder=byteorder,npart=npart)
return data
#################################
def writeblock(f,data,byteorder=sys.byteorder):
#################################
'''
data = array
or
data = ((x,float32),(y,int),(z,float32),(label,40))
shape = tuple
'''
if type(data) == types.TupleType:
# first, compute nbytes
nbytes = 0
for dat in data:
if type(dat[0])==types.StringType:
nbytes = nbytes + dat[1]
else:
nbytes = nbytes + array([dat[0]],dat[1]).type().bytes* array([dat[0]],dat[1]).size()
nbytes = array([nbytes],int32)
# write block
if sys.byteorder != byteorder:
nbytes.byteswap(True)
f.write(nbytes.tostring())
for dat in data:
if type(dat[0])==types.StringType:
f.write(string.ljust(dat[0],dat[1])[:dat[1]])
else:
ar = array([dat[0]],dat[1])
if sys.byteorder != byteorder:
ar.byteswap(True)
f.write(ar.tostring())
f.write(nbytes.tostring())
else:
# write block
#nbytes = array([data.type().bytes*data.size()],int)
nbytes = array([data.nbytes],int32)
-
+
if sys.byteorder != byteorder:
nbytes.byteswap(True)
data.byteswap(True)
f.write(nbytes.tostring())
f.write(data.tostring())
f.write(nbytes.tostring())
#################################
def WriteBlock(f,data,byteorder=sys.byteorder):
#################################
'''
data = ((x,float32),(y,int),(z,float32),(label,40))
shape = tuple
'''
if f!=None:
if type(data) == types.TupleType:
# first, compute nbytes
nbytes = 0
for dat in data:
if type(dat[0])==types.StringType:
nbytes = nbytes + dat[1]
elif type(dat[0]) == string_:
nbytes = nbytes + dat[1]
else:
#nbytes = nbytes + array([dat[0]],dat[1]).type().bytes* array([dat[0]],dat[1]).size()
nbytes = nbytes + array([dat[0]],dat[1]).nbytes
nbytes = array([nbytes],int32)
# write block
if sys.byteorder != byteorder:
nbytes.byteswap(True)
f.write(nbytes.tostring())
for dat in data:
if type(dat[0])==types.StringType:
f.write(string.ljust(dat[0],dat[1])[:dat[1]])
elif type(dat[0]) == string_:
f.write(string.ljust(dat[0],dat[1])[:dat[1]])
else:
ar = array([dat[0]],dat[1])
if sys.byteorder != byteorder:
ar.byteswap(True)
f.write(ar.tostring())
f.write(nbytes.tostring())
#################################
def WriteArray(f,data,byteorder=sys.byteorder,pio='no',npart=None):
#################################
'''
data = array
shape = tuple
'''
if mpi.NTask==1 or pio == 'yes':
writeblock(f,data,byteorder=byteorder)
else:
mpi.mpi_GatherAndWriteArray(f,data,byteorder=byteorder,npart=npart)
#################################
def WriteDataBlock(f,data,byteorder=sys.byteorder,pio='no',npart=None):
#################################
'''
Write a block containg data.
If NTask = 1 or pio = 'yes', the block is written normally.
If NTask > 1 and pio = 'no', the master get the block from the slaves and write it.
In the second case :
a) the master get N/Ntask element from each task.
b) if the var npart is present, he get Np/Ntask from each task, for each Np of npart.
data = array
shape = tuple
'''
if mpi.NTask==1 or pio == 'yes':
writeblock(f,data,byteorder=byteorder)
else:
mpi.mpi_GatherAndWriteArray(f,data,byteorder=byteorder,npart=npart)
###############################################################
#
# some special function reading gadget related files
#
###############################################################
#################################
def read_cooling(file):
#################################
'''
Read cooling file
'''
f = open(file,'r')
f.readline()
f.readline()
lines = f.readlines()
f.close()
lines = map(string.strip,lines)
elts = map(string.split,lines)
logT = array(map(lambda x:float(x[0]),elts))
logL0 = array(map(lambda x:float(x[1]),elts))
logL1 = array(map(lambda x:float(x[2]),elts))
logL2 = array(map(lambda x:float(x[3]),elts))
logL3 = array(map(lambda x:float(x[4]),elts))
logL4 = array(map(lambda x:float(x[5]),elts))
logL5 = array(map(lambda x:float(x[6]),elts))
logL6 = array(map(lambda x:float(x[7]),elts))
return logT,logL0,logL1,logL2,logL3,logL4,logL5,logL6
#################################
def read_params(file):
#################################
'''
Read params Gadget file and return the content in
a dictionary
'''
f = open(file)
lines = f.readlines()
f.close()
# remove empty lines
lines = filter(lambda l:l!='\n', lines)
# remove trailing
lines = map(string.strip, lines)
# remove comments
lines = filter(lambda x:x[0]!='%', lines)
# split lines
elts = map(string.split,lines)
# make dictionary
params = {}
for e in elts:
try :
params[e[0]]=float(e[1])
except ValueError:
params[e[0]]= e[1]
return params
diff --git a/pNbody/libgrid.py b/pNbody/libgrid.py
index 66ef0cf..638cbfb 100644
--- a/pNbody/libgrid.py
+++ b/pNbody/libgrid.py
@@ -1,3878 +1,3902 @@
##########################################################
# grid functions
##########################################################
from numpy import *
from numpy import clip as numclip
import mapping
import libutil
import treelib
import myNumeric
import sys
from pNbody import mpi
'''
definition of indexes and corresponding physical values
ix = int( (x-xmin)/(xmax-xmin)* nx )
x = ix*(xmax-xmin)/(nx) + xmin
center of cell
xc = (ix+0.5)*(xmax-xmin)/(nx) + xmin
physical size of cells
dx = ((arange(nx)+1)*(xmax-xmin)/(nx) + xmin )
- ((arange(nx) )*(xmax-xmin)/(nx) + xmin )
= (xmax-xmin)/nx * ones(nx)
# linear density of spherical density
lambda(r) = 4*pi*r**2*rho(r)
here we may deal the following grids :
- carthesian 2d
- carthesian 3d
- cylindrical 2d
- cylindrical 3d
- spherical 3d
!!! when computing the potential, in some 1d/2d grid,
!!! we do not take into account the fact that the model
!!! may be assymetric
!!! We should better compute potential on 3d grid
!!! and take the mean.
!!! the cylindrical grid is not symetric in z
'''
####################################################################################################################################
#
# GENERIC 1D GRID
#
####################################################################################################################################
class Generic_1d_Grid:
def __init__(self,rmin,rmax,nr,g=None,gm=None):
'''
f(rmin) = f(rmin)
f(rmax) = f(rmax)
'''
self.nr = int(nr)
self.rmin = float(rmin)
self.rmax = float(rmax)
self.g = g
self.gm = gm
self.f = lambda r:r # by default, identity
self.fm = lambda r:r # by default, identity
if self.g != None and self.gm != None:
self.f = lambda r: ( self.g(r)-self.g(self.rmin) )/( self.g(self.rmax)-self.g(self.rmin) ) *(self.rmax-self.rmin) + self.rmin
self.fm = lambda f: self.gm( (f-self.rmin)*( self.g(self.rmax)-self.g(self.rmin) )/( self.rmax-self.rmin ) + self.g(self.rmin) )
def get_r(self,offr=0):
ir = arange(self.nr)
r = (ir+offr)*(self.rmax-self.rmin)/self.nr + self.rmin
return self.fm(r)
def get_Points(self,offr=0):
'''
Return an array of points corresponding to the nodes of
a 1d spherical grid
To get a nt X nr array from the returned vector (pos), do
x = pos[:,0]
y = pos[:,0]
z = pos[:,0]
x.shape = (nr,np,nt)
y.shape = (nr,np,nt)
z.shape = (nr,np,nt)
'''
ir = indices((self.nr,))
r = (ir+offr)*(self.rmax-self.rmin)/self.nr + self.rmin
r = ravel(r)
r = self.fm(r)
x = r
y = zeros(len(x))
z = zeros(len(x))
return transpose(array([x,y,z])).astype(float32)
def get_MassMap(self,r,mass):
'''
Return an array of points containing mass of particles
'''
r = self.f(r)
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin)
# compute values
pos = transpose(array(r)).astype(float32)
val = ones(pos.shape).astype(float32)
mass= mass.astype(float32)
shape = (self.nr,)
# make the map
mat = mapping.mkmap1d(pos,mass,val,shape)
mat = mpi.mpi_allreduce(mat)
return mat
def get_GenericMap(self,r,mass,val):
'''
Return an array of points containing mass of particles
'''
r = self.f(r)
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin)
# compute values
pos = transpose(array(r)).astype(float32)
val = val.astype(float32)
mass= mass.astype(float32)
shape = (self.nr,)
# make the map
mat = mapping.mkmap1d(pos,mass,val,shape)
mat = mpi.mpi_allreduce(mat)
return mat
def get_MeanMap(self,r,mass,val):
'''
Return an array of points containing mean of val
'''
mv = self.get_GenericMap(r,mass,val)
m = self.get_MassMap(r,mass)
# compute mean
mv = where(mv ==0,0,mv)
m = where(m==0,1,m)
mean = mv/m
return mean,m,mv
def get_SigmaMap(self,r,mass,val):
'''
Return an array of points containing sigma of val
'''
mv = self.get_GenericMap(r,mass,val)
mv2 = self.get_GenericMap(r,mass,val*val)
m = self.get_MassMap(r,mass)
# compute sigma
mv = where(mv ==0,0,mv)
mv2 = where(mv2==0,0,mv2)
m = where(m==0,1,m)
sigma = mv2/m - (mv/m)**2
sigma = sqrt(numclip(sigma,0,1e10))
return sigma,m,mv,mv2
def get_LinearMap(self):
'''
Return an array of points containing corresponding physical
size of each cell (usefull to compute linear density)
'''
r1 = self.get_r(offr=0)
r2 = self.get_r(offr=1)
mat = r2-r1
mat = mat.astype(float32)
return mat
def get_LinearDensityMap(self,r,mass):
'''
Return an array of points containing density in each cell
'''
m = self.get_MassMap(r,mass)
v = self.get_LinearMap()
return m/v
####################################################################################################################################
#
# SPHERICAL 1D GRID
#
####################################################################################################################################
class Spherical_1d_Grid:
def __init__(self,rmin,rmax,nr,g=None,gm=None):
'''
f(rmin) = f(rmin)
f(rmax) = f(rmax)
'''
self.nr = int(nr)
self.rmin = float(rmin)
self.rmax = float(rmax)
self.g = g
self.gm = gm
self.f = lambda r:r # by default, identity
self.fm = lambda r:r # by default, identity
if self.g != None and self.gm != None:
self.f = lambda r: ( self.g(r)-self.g(self.rmin) )/( self.g(self.rmax)-self.g(self.rmin) ) *(self.rmax-self.rmin) + self.rmin
self.fm = lambda f: self.gm( (f-self.rmin)*( self.g(self.rmax)-self.g(self.rmin) )/( self.rmax-self.rmin ) + self.g(self.rmin) )
def get_r(self,offr=0):
ir = arange(self.nr)
r = (ir+offr)*(self.rmax-self.rmin)/self.nr + self.rmin
return self.fm(r)
def get_Points(self,offr=0):
'''
Return an array of points corresponding to the nodes of
a 1d spherical grid
To get a nt X nr array from the returned vector (pos), do
x = pos[:,0]
y = pos[:,0]
z = pos[:,0]
x.shape = (nr,np,nt)
y.shape = (nr,np,nt)
z.shape = (nr,np,nt)
'''
ir = indices((self.nr,))
r = (ir+offr)*(self.rmax-self.rmin)/self.nr + self.rmin
r = ravel(r)
r = self.fm(r)
x = r
y = zeros(len(x))
z = zeros(len(x))
return transpose(array([x,y,z])).astype(float32)
def get_MassMap(self,nb):
'''
Return an array of points containing mass of particles
'''
r = nb.rxyz()
r = self.f(r)
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin)
# compute values
pos = transpose(array(r)).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (self.nr,)
# make the map
mat = mapping.mkmap1d(pos,mass,val,shape)
return mat
def get_NumberMap(self,nb):
'''
Return an array of points containing number of particles
'''
r = nb.rxyz()
r = self.f(r)
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin)
# compute values
pos = transpose(array(r)).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (self.nr,)
# make the map
mat = mapping.mkmap1d(pos,mass,val,shape)
return mat
def get_ValMap(self,nb,val,offr=0,offt=0):
'''
Return an array of points containing val of particles
'''
r = nb.rxyz()
r = self.f(r)
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin)
# compute values
pos = transpose(array(r)).astype(float32)
mass= nb.mass.astype(float32)
val = val.astype(float32)
shape = (self.nr,)
# make the map
mat = mapping.mkmap1d(pos,mass,val,shape)
return mat
def get_MeanValMap(self,nb,val,offr=0,offt=0):
'''
Return an array of points containing mean val of particles
'''
r = nb.rxyz()
r = self.f(r)
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin)
# compute values
pos = transpose(array(r)).astype(float32)
mass= nb.mass.astype(float32)
val = val.astype(float32)
shape = (self.nr,)
# compute zero momentum
m0 = mapping.mkmap1d(pos,mass,ones(len(pos),float32),shape)
# compute first momentum
m1 = mapping.mkmap1d(pos,mass,val,shape)
return libutil.GetMeanMap(m0,m1)
def get_SigmaValMap(self,nb,val,offr=0,offt=0):
'''
Return an array of points containing sigma val of particles
'''
r = nb.rxyz()
r = self.f(r)
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin)
# compute values
pos = transpose(array(r)).astype(float32)
mass= nb.mass.astype(float32)
val = val.astype(float32)
shape = (self.nr,)
# compute zero momentum
m0 = mapping.mkmap1d(pos,mass,ones(len(pos),float32),shape)
# compute first momentum
m1 = mapping.mkmap1d(pos,mass,val,shape)
# compute second momentum
m2 = mapping.mkmap1d(pos,mass,val*val,shape)
return libutil.GetSigmaMap(m0,m1,m2)
def get_PotentialMap(self,nb,eps,UseTree=True,Tree=None,AdaptativeSoftenning=False):
'''
Return an array of points containing potential
'''
if AdaptativeSoftenning:
print "AdaptativeSoftenning not defined !"
sys.exit()
else:
pos = self.get_Points()
if UseTree:
pot = nb.TreePot(pos,eps)
else:
pot = nb.Pot(pos,eps)
# transform back into array
pot.shape = (self.nr,)
return pot
def get_SurfaceMap(self):
'''
Return an array of points containing surface (volume)
of each cell.
'''
r1 = self.get_r(offr=0)
r2 = self.get_r(offr=1)
mat = r2-r1
mat = mat.astype(float32)
return mat
def get_VolumeMap(self):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
r1 = self.get_r(offr=0)
r2 = self.get_r(offr=1)
mat = 4.0/3.0*pi*( (r2)**3 - (r1)**3 )
mat = mat.astype(float32)
return mat
def get_DensityMap(self,nb):
'''
Return an array of points containing density in each cell
'''
m = self.get_MassMap(nb)
v = self.get_VolumeMap()
return m/v
def get_LinearDensityMap(self,nb):
'''
Return an array of points containing the linear density in each cell
'''
m = self.get_MassMap(nb)
s = self.get_SurfaceMap()
return m/s
def get_AccumulatedMassMap(self,nb):
'''
Return an array of points containing M(r) in each cell
'''
m = self.get_MassMap(nb)
mr = get_Accumulation_Along_Axis(m,axis=0)
return mr
def get_Interpolation(self,pos,mat,offr=0):
'''
Interpolates continuous value of pos, using matrix mat
'''
r = sqrt(pos[:,0]**2+pos[:,1]**2+pos[:,2]**2)
r = self.f(r)
ir = (r-self.rmin)/(self.rmax-self.rmin)* self.nr - offr
return myNumeric.Interpolate_From_1d_Array(ir.astype(float32),mat.astype(float32))
def get_AccelerationMap(self,nb,eps,UseTree=True,Tree=None):
'''
Return an array of points containing accelerations
'''
pos = self.get_Points()
if UseTree:
acc = nb.TreeAccel(pos,eps)
else:
acc = nb.Accel(pos,eps)
accx = copy(acc[:,0])
accy = copy(acc[:,1])
accz = copy(acc[:,2])
# transform back into array
accx.shape = (self.nr,)
accy.shape = (self.nr,)
accz.shape = (self.nr,)
return accx,accy,accz
####################################################################################################################################
#
# CYLINDRICAL 2D GRID (r-z)
#
####################################################################################################################################
class Cylindrical_2drz_Grid:
def __init__(self,rmin,rmax,nr,zmin,zmax,nz,g=None,gm=None):
'''
f(rmin) = f(rmin)
f(rmax) = f(rmax)
'''
self.nr = int(nr)
self.rmin = float(rmin)
self.rmax = float(rmax)
self.nz = int(nz)
self.zmin = float(zmin)
self.zmax = float(zmax)
self.g = g
self.gm = gm
self.f = lambda r:r # by default, identity
self.fm = lambda r:r # by default, identity
if self.g != None and self.gm != None:
self.f = lambda r: ( self.g(r)-self.g(self.rmin) )/( self.g(self.rmax)-self.g(self.rmin) ) *(self.rmax-self.rmin) + self.rmin
self.fm = lambda f: self.gm( (f-self.rmin)*( self.g(self.rmax)-self.g(self.rmin) )/( self.rmax-self.rmin ) + self.g(self.rmin) )
def get_rz(self,offr=0,offz=0):
ir = arange(self.nr)
iz = arange(self.nz)
r = (ir+offr)*(self.rmax-self.rmin)/self.nr + self.rmin
z = (iz+offz)*(self.zmax-self.zmin)/self.nz + self.zmin
r = self.fm(r)
return r,z
def get_Points(self,offr=0,offz=0):
'''
Return an array of points corresponding to the nodes of
a 2d cylindrical grid
To get a nt X nr array from the returned vector (pos), do
x = copy(pos[:,0])
y = copy(pos[:,1])
z = copy(pos[:,2])
x.shape = (nr,nt)
y.shape = (nr,nt)
z.shape = (nr,nt)
# to get r and theta
r = sqrt(x**2+y**2+z**2)
t = arctan2(y,x)*180/pi
'''
ir,iz = indices((self.nr,self.nz))
r = (ir+offr)*(self.rmax-self.rmin)/self.nr + self.rmin
z = (iz+offz)*(self.zmax-self.zmin)/self.nz + self.zmin
r = ravel(r)
z = ravel(z)
r = self.fm(r)
x = r
y = zeros(len(x))
z = z
return transpose(array([x,y,z])).astype(float32)
def get_MassMap(self,nb,offr=0,offz=0):
'''
Return an array of points containing mass of particles
'''
r = nb.rxy()
r = self.f(r)
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin) - offr/self.nr
z = (z-self.zmin)/(self.zmax-self.zmin) - offz/self.nz
# compute values
pos = transpose(array([r,z,t])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (self.nr,self.nz)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_NumberMap(self,nb,offr=0,offz=0):
'''
Return an array of points containing mass of particles
'''
r = nb.rxy()
r = self.f(r)
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin) - offr/self.nr
z = (z-self.zmin)/(self.zmax-self.zmin) - offz/self.nz
# compute values
pos = transpose(array([r,z,t])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (self.nr,self.nz)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_PotentialMap(self,nb,eps,UseTree=True,Tree=None,AdaptativeSoftenning=False):
'''
Return an array of points containing potential
'''
if AdaptativeSoftenning:
pos = self.get_Points()
pot = zeros(len(pos),float)
# define eps
R1,z1 = self.get_rz(offr=0)
R2,z2 = self.get_rz(offr=1)
epss = R2-R1
epss = epss/epss[0]*eps
pos = self.get_Points()
for ir in range(self.nr):
for iz in range(self.nz):
#print ir*self.nz + iz, pos[ir*self.nz + iz], epss[ir]
if UseTree:
pot[ir*self.nz + iz] = nb.TreePot(array([pos[ir*self.nz + iz]]),epss[ir])
else:
pot[ir*self.nz + iz] = nb.Pot( array([pos[ir*self.nz + iz]]),epss[ir])
else:
pos = self.get_Points()
if UseTree:
pot = nb.TreePot(pos,eps)
else:
pot = nb.Pot(pos,eps)
# transform back into array
pot.shape = (self.nr,self.nz)
return pot
def get_AccelerationMap(self,nb,eps,UseTree=True,Tree=None):
'''
Return an array of points containing accelerations
'''
if AdaptativeSoftenning:
pos = self.get_Points()
acc = pos*0
# define eps
R1,z1 = self.get_rz(offr=0)
R2,z2 = self.get_rz(offr=1)
epss = R2-R1
epss = epss/epss[0]*eps
pos = self.get_Points()
for ir in range(self.nr):
for iz in range(self.nz):
#print ir*self.nz + iz, pos[ir*self.nz + iz], epss[ir]
if UseTree:
acc[ir*self.nz + iz] = nb.TreeAccel(array([pos[ir*self.nz + iz]]),epss[ir])
else:
acc[ir*self.nz + iz] = nb.Accel( array([pos[ir*self.nz + iz]]),epss[ir])
else:
pos = self.get_Points()
if UseTree:
acc = nb.TreeAccel(pos,eps)
else:
acc = nb.Accel(pos,eps)
accx = copy(acc[:,0])
accy = copy(acc[:,1])
accz = copy(acc[:,2])
# transform back into array
accx.shape = (self.nr,self.nz)
accy.shape = (self.nr,self.nz)
accz.shape = (self.nr,self.nz)
return accx,accy,accz
def get_VolumeMap(self,offr=0,offz=0):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
rs,zs = self.get_rz(offr,offz)
def volume(ir,iz):
if ir==self.nr-1:
r1 = rs[ir-1] # un peu bricolage...
r2 = rs[ir]
else:
r1 = rs[ir]
r2 = rs[ir+1]
if iz==self.nz-1:
z1 = zs[iz-1] # un peu bricolage...
z2 = zs[iz]
else:
z1 = zs[iz]
z2 = zs[iz+1]
return pi*(r2**2 - r1**2 ) * (z2-z1)
# make the map
mat = zeros((self.nr,self.nz))
for ir in range(self.nr):
for iz in range(self.nz):
mat[ir,iz]=volume(ir,iz)
mat = mat.astype(float32)
return mat
def get_SurfaceMap(self,offr=0,offz=0):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
rs,zs = self.get_rz(offr,offz)
def surface(ir):
if ir==self.nr-1:
r1 = rs[ir-1] # un peu bricolage...
r2 = rs[ir]
else:
r1 = rs[ir]
r2 = rs[ir+1]
return pi*(r2**2 - r1**2 )
# make the map
mat = zeros(self.nr)
for ir in range(self.nr):
mat[ir]=surface(ir)
mat = mat.astype(float32)
return mat
def get_DensityMap(self,nb,offr=0,offz=0):
'''
Return an array of points containing density in each cell
'''
m = self.get_MassMap(nb,offr=offr,offz=offz)
v = self.get_VolumeMap(offr=offr,offz=offz)
return m/v
def get_SurfaceDensityMap(self,nb,offr=0,offz=0):
'''
Return an array (1d) of points containing the surface density along r
'''
m = self.get_MassMap(nb,offr=offr,offz=offz)
m = get_Sum_Along_Axis(m)
s = self.get_SurfaceMap(offr=offr,offz=offz)
return m/s
def get_Interpolation(self,pos,mat,offr=0,offz=0):
'''
Interpolates continuous value of pos, using matrix mat
'''
r = sqrt(pos[:,0]**2+pos[:,1]**2)
r = self.f(r)
z = pos[:,2]
ir = (r-self.rmin)/(self.rmax-self.rmin)* self.nr - offr
iz = (z-self.zmin)/(self.zmax-self.zmin)* self.nz - offz
return myNumeric.Interpolate_From_2d_Array(ir.astype(float32),iz.astype(float32),mat.astype(float32))
def get_r_Interpolation(self,pos,mat,offr=0):
'''
Interpolates continuous value of pos, using matrix mat
only along first axis.
'''
r = sqrt(pos[:,0]**2+pos[:,1]**2)
r = self.f(r)
ir = (r-self.rmin)/(self.rmax-self.rmin)* self.nr - offr
return myNumeric.Interpolate_From_1d_Array(ir.astype(float32),mat.astype(float32))
####################################################################################################################################
#
# CYLINDRICAL 2D GRID (r-t)
#
####################################################################################################################################
class Cylindrical_2drt_Grid:
def __init__(self,rmin,rmax,nr,nt,z=0,g=None,gm=None):
'''
f(rmin) = f(rmin)
f(rmax) = f(rmax)
'''
tmin = 0
tmax = 2*pi
self.z = z
self.nr = int(nr)
self.rmin = float(rmin)
self.rmax = float(rmax)
self.nt = int(nt)
self.tmin = float(tmin)
self.tmax = float(tmax)
self.g = g
self.gm = gm
self.f = lambda r:r # by default, identity
self.fm = lambda r:r # by default, identity
if self.g != None and self.gm != None:
self.f = lambda r: ( self.g(r)-self.g(self.rmin) )/( self.g(self.rmax)-self.g(self.rmin) ) *(self.rmax-self.rmin) + self.rmin
self.fm = lambda f: self.gm( (f-self.rmin)*( self.g(self.rmax)-self.g(self.rmin) )/( self.rmax-self.rmin ) + self.g(self.rmin) )
def get_rt(self,offr=0,offt=0):
ir = arange(self.nr)
it = arange(self.nt)
r = (ir+offr)*(self.rmax-self.rmin)/self.nr + self.rmin
t = (it+offt)*(self.tmax-self.tmin)/self.nt + self.tmin
r = self.fm(r)
return r,t
+ def get_xyz(self,offr=0,offt=0):
+ '''
+ Return arrays corresponding to the coordonates nodes of
+ a 2d cylindrical grid
+ '''
+
+
+ ir,it = indices((self.nr,self.nt))
+
+ r = (ir+offr)*(self.rmax-self.rmin)/self.nr + self.rmin
+ t = (it+offt)*(self.tmax-self.tmin)/self.nt + self.tmin
+
+
+ r = self.fm(r)
+
+ x = r*cos(t)
+ y = r*sin(t)
+ z = ones((self.nr,self.nt))*self.z
+
+ return x,y,z
+
+
+
def get_Points(self,offr=0,offt=0):
'''
Return an array of points corresponding to the nodes of
a 2d cylindrical grid
To get a nt X nr array from the returned vector (pos), do
x = copy(pos[:,0])
y = copy(pos[:,1])
z = copy(pos[:,2])
x.shape = (nr,nt)
y.shape = (nr,nt)
z.shape = (nr,nt)
# to get r and theta
r = sqrt(x**2+y**2+z**2)
t = arctan2(y,x)*180/pi
'''
ir,it = indices((self.nr,self.nt))
r = (ir+offr)*(self.rmax-self.rmin)/self.nr + self.rmin
t = (it+offt)*(self.tmax-self.tmin)/self.nt + self.tmin
r = ravel(r)
t = ravel(t)
r = self.fm(r)
x = r*cos(t)
y = r*sin(t)
z = ones(len(x))*self.z
return transpose(array([x,y,z])).astype(float32)
+
def get_MassMap(self,nb,offr=0,offt=0):
'''
Return an array of points containing mass of particles
'''
r = nb.rxy()
r = self.f(r)
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin) - offr/self.nr
t = (t-self.tmin)/(self.tmax-self.tmin) - offt/self.nt
# compute values
pos = transpose(array([r,t,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (self.nr,self.nt)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_NumberMap(self,nb,offr=0,offt=0):
'''
Return an array of points containing mass of particles
'''
r = nb.rxy()
r = self.f(r)
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin) - offr/self.nr
t = (t-self.tmin)/(self.tmax-self.tmin) - offt/self.nt
# compute values
pos = transpose(array([r,t,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (self.nr,self.nt)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_ValMap(self,nb,val,offr=0,offt=0):
'''
Return an array of points containing val of particles
'''
r = nb.rxy()
r = self.f(r)
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin) - offr/self.nr
t = (t-self.tmin)/(self.tmax-self.tmin) - offt/self.nt
# compute values
pos = transpose(array([r,t,z])).astype(float32)
mass= nb.mass.astype(float32)
val = val.astype(float32)
shape = (self.nr,self.nt)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_MeanValMap(self,nb,val,offr=0,offt=0):
'''
Return an array of points containing mean val of particles
'''
r = nb.rxy()
r = self.f(r)
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin) - offr/self.nr
t = (t-self.tmin)/(self.tmax-self.tmin) - offt/self.nt
# compute values
pos = transpose(array([r,t,z])).astype(float32)
mass= nb.mass.astype(float32)
val = val.astype(float32)
shape = (self.nr,self.nt)
# compute zero momentum
m0 = mapping.mkmap2d(pos,mass,ones(len(pos),float32),shape)
# compute first momentum
m1 = mapping.mkmap2d(pos,mass,val,shape)
return libutil.GetMeanMap(m0,m1)
def get_SigmaValMap(self,nb,val,offr=0,offt=0):
'''
Return an array of points containing sigma val of particles
'''
r = nb.rxy()
r = self.f(r)
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-self.rmin)/(self.rmax-self.rmin) - offr/self.nr
t = (t-self.tmin)/(self.tmax-self.tmin) - offt/self.nt
# compute values
pos = transpose(array([r,t,z])).astype(float32)
mass= nb.mass.astype(float32)
val = val.astype(float32)
shape = (self.nr,self.nt)
# compute zero momentum
m0 = mapping.mkmap2d(pos,mass,ones(len(pos),float32),shape)
# compute first momentum
m1 = mapping.mkmap2d(pos,mass,val,shape)
# compute second momentum
m2 = mapping.mkmap2d(pos,mass,val*val,shape)
return libutil.GetSigmaMap(m0,m1,m2)
def get_PotentialMap(self,nb,eps,UseTree=True,Tree=None,AdaptativeSoftenning=False):
'''
Return an array of points containing potential
'''
if AdaptativeSoftenning:
pos = self.get_Points()
pot = zeros(len(pos),float)
# define eps
R1,t1 = self.get_rt(offr=0)
R2,t2 = self.get_rt(offr=1)
epss = R2-R1
epss = epss/epss[0]*eps
pos = self.get_Points()
for ir in range(self.nr):
for it in range(self.nt):
#print ir*self.nt + it, pos[ir*self.nt + it], epss[ir]
if UseTree:
pot[ir*self.nt + it] = nb.TreePot(array([pos[ir*self.nt + it]]),epss[ir])
else:
pot[ir*self.nt + it] = nb.Pot( array([pos[ir*self.nt + it]]),epss[ir])
else:
pos = self.get_Points()
if UseTree:
pot = nb.TreePot(pos,eps)
else:
pot = nb.Pot(pos,eps)
# transform back into array
pot.shape = (self.nr,self.nt)
return pot
def get_AccelerationMap(self,nb,eps,UseTree=True,Tree=None,AdaptativeSoftenning=False):
'''
Return an array of points containing accelerations
'''
if AdaptativeSoftenning:
pos = self.get_Points()
acc = pos*0
# define eps
R1,t1 = self.get_rt(offr=0)
R2,t2 = self.get_rt(offr=1)
epss = R2-R1
epss = epss/epss[0]*eps
pos = self.get_Points()
for ir in range(self.nr):
for it in range(self.nt):
#print ir*self.nt + it, pos[ir*self.nt + it], epss[ir]
if UseTree:
acc[ir*self.nt + it] = nb.TreeAccel(array([pos[ir*self.nt + it]]),epss[ir])
else:
acc[ir*self.nt + it] = nb.Accel( array([pos[ir*self.nt + it]]),epss[ir])
else:
pos = self.get_Points()
if UseTree:
acc = nb.TreeAccel(pos,eps)
else:
acc = nb.Accel(pos,eps)
accx = copy(acc[:,0])
accy = copy(acc[:,1])
accz = copy(acc[:,2])
# transform back into array
accx.shape = (self.nr,self.nt)
accy.shape = (self.nr,self.nt)
accz.shape = (self.nr,self.nt)
return accx,accy,accz
def get_SurfaceMap(self,nb,offr=0,offt=0):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
rs,ts = self.get_rt(offr,offt)
def surface(ir):
if ir==self.nr-1:
r1 = rs[ir-1] # un peu bricolage...
r2 = rs[ir]
else:
r1 = rs[ir]
r2 = rs[ir+1]
return pi*(r2**2 - r1**2 ) / self.nt
# make the map
mat = zeros(self.nr)
for ir in range(self.nr):
mat[ir]=surface(ir)
mat = mat.astype(float32)
mat = transpose( ones((self.nt,self.nr))*mat )
return mat
def get_SurfaceValMap(self,nb,val,offr=0,offt=0):
'''
Return an array (1d) of points containing the surface density along r
'''
m = self.get_ValMap(nb,val,offr=0,offt=0)
s = self.get_SurfaceMap(nb,offr=0,offt=0)
return m/s
def get_SurfaceDensityMap(self,nb,offr=0,offt=0):
'''
Return an array of points containing density in each cell
'''
m = self.get_MassMap(nb,offr=0,offt=0)
s = self.get_SurfaceMap(nb,offr=0,offt=0)
return m/s
def get_ReducedSurfaceDensityMap(self,nb,offr=0,offt=0):
'''
Return an array of points containing density in each cell
'''
m = self.get_MassMap(nb,offr=0,offt=0)
m = sum(m,axis=1)
s = self.get_SurfaceMap(nb,offr=0,offt=0)
s = sum(s,axis=1)
return m/s
####################################################################################################################################
#
# CARTHESIAN 2D GRID (x-y)
#
####################################################################################################################################
class Carthesian_2dxy_Grid:
def __init__(self,xmin,xmax,nx,ymin,ymax,ny,z=0,g=None,gm=None):
'''
'''
self.nx = int(nx)
self.xmin = float(xmin)
self.xmax = float(xmax)
self.ny = int(ny)
self.ymin = float(ymin)
self.ymax = float(ymax)
self.z = z
#self.g = g
#self.gm = gm
#self.f = lambda r:r # by default, identity
#self.fm = lambda r:r # by default, identity
#if self.g != None and self.gm != None:
# self.f = lambda x: ( self.g(x)-self.g(self.xmin) )/( self.g(self.xmax)-self.g(self.xmin) ) *(self.xmax-self.xmin) + self.xmin
# self.fm = lambda f: self.gm( (f-self.xmin)*( self.g(self.xmax)-self.g(self.xmin) )/( self.xmax-self.xmin ) + self.g(self.xmin) )
def get_xy(self,offx=0,offy=0):
ix = arange(self.nx)
iy = arange(self.ny)
x = (ix+offx)*(self.xmax-self.xmin)/self.nx + self.xmin
y = (iy+offy)*(self.ymax-self.ymin)/self.ny + self.ymin
#x = self.fm(x)
return x,y
def get_Points(self,offx=0,offy=0):
'''
Return an array of points corresponding to the nodes of
a 2d cylindrical grid
To get a nt X nr array from the returned vector (pos), do
x = copy(pos[:,0])
y = copy(pos[:,1])
z = copy(pos[:,2])
x.shape = (nr,nt)
y.shape = (nr,nt)
z.shape = (nr,nt)
# to get r and theta
r = sqrt(x**2+y**2+z**2)
t = arctan2(y,x)*180/pi
'''
ix,iy = indices((self.nx,self.ny))
x = (ix+offx)*(self.xmax-self.xmin)/self.nx + self.xmin
y = (iy+offy)*(self.ymax-self.ymin)/self.ny + self.ymin
z = ones(len(x)*len(y))*self.z
x = ravel(x)
y = ravel(y)
z = ravel(z)
#x = self.fm(x)
return transpose(array([x,y,z])).astype(float32)
def get_MassMap(self,nb,offx=0,offy=0):
'''
Return an array of points containing mass of particles
'''
x = nb.x()
y = nb.y()
# scale between 0 and 1
x = (x-self.xmin)/(self.xmax-self.xmin) - offx/self.nx
y = (y-self.ymin)/(self.ymax-self.ymin) - offy/self.ny
z = zeros(len(x))
# compute values
pos = transpose(array([x,y,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (self.nx,self.ny)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_NumberMap(self,nb,offx=0,offy=0):
'''
Return an array of points containing mass of particles
'''
x = nb.x()
y = nb.y()
# scale between 0 and 1
x = (x-self.xmin)/(self.xmax-self.xmin) - offx/self.nx
y = (y-self.ymin)/(self.ymax-self.ymin) - offy/self.ny
z = zeros(len(x))
# compute values
pos = transpose(array([x,y,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (self.nx,self.ny)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_PotentialMap(self,nb,eps,UseTree=True,Tree=None,AdaptativeSoftenning=False):
'''
Return an array of points containing potential
'''
print "not implemented"
return
def get_AccelerationMap(self,nb,eps,UseTree=True,Tree=None):
'''
Return an array of points containing accelerations
'''
print "not implemented"
return
def get_SurfaceMap(self,offx=0,offy=0):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
'''
# the following lines may be used if the grid is non linear
xs,ys,zs = self.get_xyz(offx,offy,offz)
def volume(ix,iy,iz):
if ix==self.nx-1:
x1 = xs[ix-1] # un peu bricolage...
x2 = xs[ix]
else:
x1 = xs[ix]
x2 = xs[ix+1]
if iy==self.ny-1:
y1 = ys[iy-1] # un peu bricolage...
y2 = ys[iy]
else:
y1 = ys[iy]
y2 = ys[iy+1]
if iz==self.nz-1:
z1 = zs[iz-1] # un peu bricolage...
z2 = zs[iz]
else:
z1 = zs[iz]
z2 = zs[iz+1]
return (x2-x1) * (y2-y1) * (z2-z1)
# make the map
mat = zeros((self.nx,self.ny,self.nz))
for ix in range(self.nx):
for iy in range(self.ny):
for iz in range(self.nz):
mat[ix,iy,iz]=volume(ix,iy,iz)
mat = mat.astype(float32)
'''
# compute volume (surface)
dx = (self.xmax-self.xmin)/self.nx
dy = (self.ymax-self.ymin)/self.ny
s = dx*dy
# make the map
mat = ones((self.nx,self.ny)) * s
mat = mat.astype(float32)
return mat
def get_ValMap(self,nb,val,offx=0,offy=0):
'''
Return an array of points containing val of particles
'''
x = nb.x()
y = nb.y()
# scale between 0 and 1
x = (x-self.xmin)/(self.xmax-self.xmin) - offx/self.nx
y = (y-self.ymin)/(self.ymax-self.ymin) - offy/self.ny
z = zeros(len(x))
# compute values
pos = transpose(array([x,y,z])).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (self.nx,self.ny)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_MeanValMap(self,nb,val,offx=0,offy=0):
'''
Return an array of points containing mean val of particles
'''
x = nb.x()
y = nb.y()
# scale between 0 and 1
x = (x-self.xmin)/(self.xmax-self.xmin) - offx/self.nx
y = (y-self.ymin)/(self.ymax-self.ymin) - offy/self.ny
z = zeros(len(x))
# compute values
pos = transpose(array([x,y,z])).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (self.nx,self.ny)
# compute zero momentum
m0 = mapping.mkmap2d(pos,mass,ones(len(pos),float32),shape)
# compute first momentum
m1 = mapping.mkmap2d(pos,mass,val,shape)
return libutil.GetMeanMap(m0,m1)
def get_SigmaValMap(self,nb,val,offx=0,offy=0):
'''
Return an array of points containing sigma val of particles
'''
x = nb.x()
y = nb.y()
# scale between 0 and 1
x = (x-self.xmin)/(self.xmax-self.xmin) - offx/self.nx
y = (y-self.ymin)/(self.ymax-self.ymin) - offy/self.ny
z = zeros(len(x))
# compute values
pos = transpose(array([x,y,z])).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (self.nx,self.ny)
# compute zero momentum
m0 = mapping.mkmap3d(pos,mass,ones(len(pos),float32),shape)
# compute first momentum
m1 = mapping.mkmap3d(pos,mass,val,shape)
# compute second momentum
m2 = mapping.mkmap3d(pos,mass,val*val,shape)
return libutil.GetSigmaMap(m0,m1,m2)
def get_SurfaceDensityMap(self,nb,offx=0,offy=0):
'''
Return an array of points containing density in each cell
'''
m = self.get_MassMap(nb,offx=0,offy=0)
s = self.get_SurfaceMap(offx=0,offy=0)
return m/s
####################################################################################################################################
#
# CARTHESIAN 3D GRID (x-y-z)
#
####################################################################################################################################
class Carthesian_3dxyz_Grid:
def __init__(self,xmin,xmax,nx,ymin,ymax,ny,zmin,zmax,nz,g=None,gm=None):
'''
'''
self.nx = int(nx)
self.xmin = float(xmin)
self.xmax = float(xmax)
self.ny = int(ny)
self.ymin = float(ymin)
self.ymax = float(ymax)
self.nz = int(nz)
self.zmin = float(zmin)
self.zmax = float(zmax)
#self.g = g
#self.gm = gm
#self.f = lambda r:r # by default, identity
#self.fm = lambda r:r # by default, identity
#if self.g != None and self.gm != None:
# self.f = lambda x: ( self.g(x)-self.g(self.xmin) )/( self.g(self.xmax)-self.g(self.xmin) ) *(self.xmax-self.xmin) + self.xmin
# self.fm = lambda f: self.gm( (f-self.xmin)*( self.g(self.xmax)-self.g(self.xmin) )/( self.xmax-self.xmin ) + self.g(self.xmin) )
def get_xyz(self,offx=0,offy=0,offz=0):
ix = arange(self.nx)
iy = arange(self.ny)
iz = arange(self.nz)
x = (ix+offx)*(self.xmax-self.xmin)/self.nx + self.xmin
y = (iy+offy)*(self.ymax-self.ymin)/self.ny + self.ymin
z = (iz+offz)*(self.zmax-self.zmin)/self.nz + self.zmin
#x = self.fm(x)
return x,y,z
def get_Points(self,offx=0,offy=0,offz=0):
'''
Return an array of points corresponding to the nodes of
a 2d cylindrical grid
To get a nt X nr array from the returned vector (pos), do
x = copy(pos[:,0])
y = copy(pos[:,1])
z = copy(pos[:,2])
x.shape = (nr,nt)
y.shape = (nr,nt)
z.shape = (nr,nt)
# to get r and theta
r = sqrt(x**2+y**2+z**2)
t = arctan2(y,x)*180/pi
'''
ix,iy,iz = indices((self.nx,self.ny,self.nz))
x = (ix+offx)*(self.xmax-self.xmin)/self.nx + self.xmin
y = (iy+offy)*(self.ymax-self.ymin)/self.ny + self.ymin
z = (iz+offz)*(self.zmax-self.zmin)/self.nz + self.zmin
x = ravel(x)
y = ravel(y)
z = ravel(z)
#x = self.fm(x)
return transpose(array([x,y,z])).astype(float32)
def get_MassMap(self,nb,offx=0,offy=0,offz=0):
'''
Return an array of points containing mass of particles
'''
x = nb.x()
y = nb.y()
z = nb.z()
# scale between 0 and 1
x = (x-self.xmin)/(self.xmax-self.xmin) - offx/self.nx
y = (y-self.ymin)/(self.ymax-self.ymin) - offy/self.ny
z = (z-self.zmin)/(self.zmax-self.zmin) - offz/self.nz
# compute values
pos = transpose(array([x,y,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (self.nx,self.ny,self.nz)
# make the map
mat = mapping.mkmap3d(pos,mass,val,shape)
return mat
def get_NumberMap(self,nb,offx=0,offy=0,offz=0):
'''
Return an array of points containing mass of particles
'''
x = nb.x()
y = nb.y()
z = nb.z()
# scale between 0 and 1
x = (x-self.xmin)/(self.xmax-self.xmin) - offx/self.nx
y = (y-self.ymin)/(self.ymax-self.ymin) - offy/self.ny
z = (z-self.zmin)/(self.zmax-self.zmin) - offz/self.nz
# compute values
pos = transpose(array([x,y,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (self.nx,self.ny,self.nz)
# make the map
mat = mapping.mkmap3d(pos,mass,val,shape)
return mat
def get_PotentialMap(self,nb,eps,UseTree=True,Tree=None,AdaptativeSoftenning=False):
'''
Return an array of points containing potential
'''
print "not implemented"
return
def get_AccelerationMap(self,nb,eps,UseTree=True,Tree=None):
'''
Return an array of points containing accelerations
'''
print "not implemented"
return
def get_VolumeMap(self,offx=0,offy=0,offz=0):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
'''
# the following lines may be used if the grid is non linear
xs,ys,zs = self.get_xyz(offx,offy,offz)
def volume(ix,iy,iz):
if ix==self.nx-1:
x1 = xs[ix-1] # un peu bricolage...
x2 = xs[ix]
else:
x1 = xs[ix]
x2 = xs[ix+1]
if iy==self.ny-1:
y1 = ys[iy-1] # un peu bricolage...
y2 = ys[iy]
else:
y1 = ys[iy]
y2 = ys[iy+1]
if iz==self.nz-1:
z1 = zs[iz-1] # un peu bricolage...
z2 = zs[iz]
else:
z1 = zs[iz]
z2 = zs[iz+1]
return (x2-x1) * (y2-y1) * (z2-z1)
# make the map
mat = zeros((self.nx,self.ny,self.nz))
for ix in range(self.nx):
for iy in range(self.ny):
for iz in range(self.nz):
mat[ix,iy,iz]=volume(ix,iy,iz)
mat = mat.astype(float32)
'''
# compute volume (surface)
dx = (self.xmax-self.xmin)/self.nx
dy = (self.ymax-self.ymin)/self.ny
dz = (self.zmax-self.zmin)/self.nz
v = dx*dy*dz
# make the map
mat = ones((self.nx,self.ny,self.nz)) * v
mat = mat.astype(float32)
return mat
def get_ValMap(self,nb,val,offx=0,offy=0,offz=0):
'''
Return an array of points containing val of particles
'''
x = nb.x()
y = nb.y()
z = nb.z()
# scale between 0 and 1
x = (x-self.xmin)/(self.xmax-self.xmin) - offx/self.nx
y = (y-self.ymin)/(self.ymax-self.ymin) - offy/self.ny
z = (z-self.zmin)/(self.zmax-self.zmin) - offz/self.nz
# compute values
pos = transpose(array([x,y,z])).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (self.nx,self.ny,self.nz)
# make the map
mat = mapping.mkmap3d(pos,mass,val,shape)
return mat
def get_MeanValMap(self,nb,val,offx=0,offy=0,offz=0):
'''
Return an array of points containing mean val of particles
'''
x = nb.x()
y = nb.y()
z = nb.z()
# scale between 0 and 1
x = (x-self.xmin)/(self.xmax-self.xmin) - offx/self.nx
y = (y-self.ymin)/(self.ymax-self.ymin) - offy/self.ny
z = (z-self.zmin)/(self.zmax-self.zmin) - offz/self.nz
# compute values
pos = transpose(array([x,y,z])).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (self.nx,self.ny,self.nz)
# compute zero momentum
m0 = mapping.mkmap3d(pos,mass,ones(len(pos),float32),shape)
# compute first momentum
m1 = mapping.mkmap3d(pos,mass,val,shape)
return libutil.GetMeanMap(m0,m1)
def get_SigmaValMap(self,nb,val,offx=0,offy=0,offz=0):
'''
Return an array of points containing sigma val of particles
'''
x = nb.x()
y = nb.y()
z = nb.z()
# scale between 0 and 1
x = (x-self.xmin)/(self.xmax-self.xmin) - offx/self.nx
y = (y-self.ymin)/(self.ymax-self.ymin) - offy/self.ny
z = (z-self.zmin)/(self.zmax-self.zmin) - offz/self.nz
# compute values
pos = transpose(array([x,y,z])).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (self.nx,self.ny,self.nz)
# compute zero momentum
m0 = mapping.mkmap3d(pos,mass,ones(len(pos),float32),shape)
# compute first momentum
m1 = mapping.mkmap3d(pos,mass,val,shape)
# compute second momentum
m2 = mapping.mkmap3d(pos,mass,val*val,shape)
return libutil.GetSigmaMap(m0,m1,m2)
def get_DensityMap(self,nb,offx=0,offy=0,offz=0):
'''
Return an array of points containing density in each cell
'''
m = self.get_MassMap(nb,offx=0,offy=0,offz=0)
v = self.get_VolumeMap(offx=0,offy=0,offz=0)
return m/v
####################################################################################################################################
#
# GRID CLASS (not used and not finished)
#
####################################################################################################################################
class Grid:
def __init__(self,dim=1,params={},f=None,fm=None):
"""
Main grid object
parameters
xmin,xmax,nx
ymin,ymax,ny
zmin,zmax,nz
"""
# example : 1d grid
self.xmin = float(params['xmin'])
self.xmax = float(params['xmax'])
self.nx = int(params['nx'])
self.offx = 0.
self.f = f
self.fm= fm
ix = indices((self.nx,))
# apply indx-phys transformation
if self.f!=None:
x = self.f(ix,self.nx,self.xmin,self.xmax)
else:
x = (ix+self.offx)*(self.xmax-self.xmin)/(self.nx-1) + self.xmin
x = ravel(x)
x = x
y = zeros(len(x))
z = zeros(len(x))
self.pos = transpose(array([x,y,z])).astype(float32)
self.shape = (self.nx,)
def GetPoints(self):
return self.pos
def GetNumberMap(self,x):
x = x.astype(float32)
val = ones(x.shape).astype(float32)
# apply phys-indx transformation and tranform between 0 and 1
if self.fm!=None:
x = self.fm(x,self.nx,self.xmin,self.xmax) / (self.nx-1)
else:
x = (x-self.xmin)/(self.xmax-self.xmin)
mat = mapping.mkmap1dw(x,val,val,self.shape)
return mat
def GetMassMap(self,x,mass):
x = x.astype(float32)
mass = mass.astype(float32)
val = ones(x.shape).astype(float32)
# apply phys-indx transformation and tranform between 0 and 1
if self.fm!=None:
x = self.fm(x,self.nx,self.xmin,self.xmax) / (self.nx-1)
else:
x = (x-self.xmin)/(self.xmax-self.xmin)
mat = mapping.mkmap1dw(x,mass,val,self.shape)
return mat
def GetSurfaceMap(self):
# !!!!!!!!!!!! this is for carthesian grid !!!!!!!!!!!!!!!
ix = arange(self.nx-1) + 0.5
ix = concatenate(([0],ix,[self.nx-1]))
# apply indx-phys transformation
if self.f!=None:
ix = self.f(ix,self.nx,self.xmin,self.xmax)
else:
ix = (ix+self.offx)*(self.xmax-self.xmin)/(self.nx-1) + self.xmin
# compute diff.
s = ix[1:] - ix[:-1]
return s
def GetVolumeMap(self):
# !!!!!!!!!!!! this is for spherical grid !!!!!!!!!!!!!!!
ix = arange(self.nx-1) + 0.5
ix = concatenate(([0],ix,[self.nx-1]))
# apply indx-phys transformation
if self.f!=None:
ix = self.f(ix,self.nx,self.xmin,self.xmax)
else:
ix = (ix+self.offx)*(self.xmax-self.xmin)/(self.nx-1) + self.xmin
# compute volume.
v = 4/3.*pi * (ix[1:]**3 - ix[:-1]**3)
return v
def GetSurfaceDensityMap(self,x,mass):
return self.GetMassMap(x,mass)/self.GetSurfaceMap()
def GetDensityMap(self,x,mass):
return self.GetMassMap(x,mass)/self.GetVolumeMap()
def GetPotential(self,nb,eps,force_computation=False,ErrTolTheta=0.8):
Tree = nb.getTree(force_computation=force_computation,ErrTolTheta=ErrTolTheta)
pot = Tree.Potential(self.pos,eps)
# transform back into array
#pot.shape = (nx,ny)
return pot
def write(self,name='grid.dat',ftype='gadget'):
'''
it cant work, because one need pNbody
and pNbody uses libgrid !!!
'''
# create an Nbody object
#nb = Nbody(status='new',p_name=name,pos=self.pos,ftype=ftype)
# and save it
#nb.write()
pass
#######################################
# general functions
#######################################
def get_First_Derivative(f,x,s=None,k=2):
'''
First derivative of f(x)
'''
#if s!=None:
# tck = interpolate.fitpack.splrep(x,f,s=s,k=k)
# f = interpolate.fitpack.splev(x,tck)
fp = zeros(len(x),x.dtype)
fp[0 ] = (f[ 1]-f[ 0])/(x[ 1]-x[ 0])
fp[-1] = (f[-1]-f[-2])/(x[-1]-x[-2])
f1 = f[2:]
f2 = f[:-2]
x1 = x[2:]
x2 = x[:-2]
fp[1:-1] = (f1-f2)/(x1-x2)
return fp
def get_Mean_Along_Axis(mat,axis=0):
if len(mat.shape) == 1:
return mat
elif len(mat.shape) == 2:
a = fmod((axis+1),2)
n = mat.shape[a]
s = mat
s = sum(s,axis=a)/n
elif len(mat.shape) == 3:
a = array([fmod((axis+1),3),fmod((axis+2),3)])
a.sort()
a1 = a[0]
a2 = a[1]
n1 = mat.shape[a1]
n2 = mat.shape[a2]
s = mat
s = sum(s,axis=a2)/n2
s = sum(s,axis=a1)/n1
return s
def get_Sum_Along_Axis(mat,axis=0):
if len(mat.shape) == 1:
return mat
elif len(mat.shape) == 2:
a = fmod((axis+1),2)
s = mat
s = sum(s,axis=a)
elif len(mat.shape) == 3:
a = array([fmod((axis+1),3),fmod((axis+2),3)])
a.sort()
a1 = a[0]
a2 = a[1]
s = mat
s = sum(s,axis=a2)
s = sum(s,axis=a1)
return s
def get_Accumulation_Along_Axis(mat,axis=0):
'''
Accumulate values along an axis
'''
v = get_Sum_Along_Axis(mat,axis=axis)
return add.accumulate(v)
def get_Integral(v,dr,ia,ib):
'''
Integrate the vector v, between ia and ib.
v : values of cells (must be 1 dimensional)
dr : corresponding physical size of cells
ia : lower real indice
ib : higher real indice
'''
print "WARNING : libgrid.get_Integral : you should not use this function !!!"
ia = max(0,ia)
ib = min(len(v),ib)
if ia==ib:
return 0.0
if ia>ib:
raise "ia must be < ib"
iap = int(ceil(ia))
ibp = int(floor(ib))
dra = iap-ia
drb = ib-ibp
Ia = 0.0
if dra != 0:
Ia = v[iap-1] * dra
Ib = 0.0
if drb != 0:
Ib = v[ibp] * drb
I = v[iap:ibp]*dr[iap:ibp]
return sum(I)+Ia+Ib
def get_Symetrisation_Along_Axis(mat,axis=1):
'''
Return an array where the two half are symetrized
'''
nx,ny = mat.shape
odd = fmod(ny,2)
if odd:
mat1 = mat[:,1:(ny/2)+1]
mat2 = mat[:,(ny/2)+1:]
else:
mat1 = mat[:,1:ny/2]
mat2 = mat[:,ny/2+1:]
#mat2 = myNumeric.turnup(mat2,0)
mat2 = fliplr(mat2)
# take the mean
matm = (mat1+mat2) /2
#mat = ones(mat.shape,mat.dtype)
if odd:
mat[:,1:(ny/2)+1] = matm
mat[:,(ny/2)+1:] = fliplr(matm) # myNumeric.turnup(matm,0)
else:
mat[:,1:ny/2] = matm
mat[:,ny/2+1:] = fliplr(matm) # myNumeric.turnup(matm,0)
return mat
def get_Symetrisation_Along_Axis_Old(mat,axis=1):
'''
Return an array where the two half are symetrized
Old but more correct than new one
'''
nx,ny = mat.shape
odd = fmod(ny,2)
if odd:
mat1 = mat[:,0:(ny-1)/2]
mat2 = mat[:,(ny-1)/2+1:]
mat3 = mat[:,(ny-1)/2]
else:
mat1 = mat[:,0:ny/2]
mat2 = mat[:,ny/2:]
#mat2 = myNumeric.turnup(mat2,0)
mat2 = fliplr(mat2)
# take the mean
matm = (mat1+mat2) /2
mat = ones(mat.shape,mat.dtype)
if odd:
mat[:,0:(ny-1)/2] = matm
mat[:,(ny-1)/2+1:] = fliplr(matm) # myNumeric.turnup(matm,0)
mat[:,(ny-1)/2] = mat3
else:
mat[:,0:ny/2] = matm
mat[:,ny/2:] = fliplr(matm) # myNumeric.turnup(matm,0)
return mat
#######################################
# carthesian grid
#######################################
##############
# 2 dimensions
##############
def get_xy_Of_Carthesian_2d_Grid(nx,ny,xmin,xmax,ymin,ymax,offx=0,offy=0):
xmax = float(xmax)
xmin = float(xmin)
ymax = float(ymax)
ymin = float(ymin)
ix = arange(nx)
iy = arange(ny)
x = (ix+offx)*(xmax-xmin)/nx + xmin
y = (iy+offy)*(ymax-ymin)/ny + ymin
return x,y
def get_Points_On_Carthesian_2d_Grid(nx,ny,xmin,xmax,ymin,ymax,offx=0,offy=0):
'''
Return an array of points corresponding to the center of cells
af a 2d carthesian grid.
To get a nt X nr array from the returned vector (pos), do
x = copy(pos[:,0])
y = copy(pos[:,1])
z = copy(pos[:,2])
x.shape = (nx,ny)
y.shape = (nx,ny)
z.shape = (nx,ny)
'''
xmax = float(xmax)
xmin = float(xmin)
ymax = float(ymax)
ymin = float(ymin)
nx = int(nx)
ny = int(ny)
ix,iy = indices((nx,ny))
x = (ix+offx)*(xmax-xmin)/nx + xmin
y = (iy+offy)*(ymax-ymin)/ny + ymin
x = ravel(x)
y = ravel(y)
z = zeros(len(x))
return transpose(array([x,y,z])).astype(float32)
def get_MassMap_On_Carthesian_2d_Grid(nb,nx,ny,xmin,xmax,ymin,ymax):
'''
Return an array of points containing mass of particles
'''
xmax = float(xmax)
xmin = float(xmin)
ymax = float(ymax)
ymin = float(ymin)
x = nb.pos[:,0]
y = nb.pos[:,1]
z = nb.pos[:,2]
# scale between 0 and 1
x = (x-xmin)/(xmax-xmin)
y = (y-ymin)/(ymax-ymin)
# compute values
pos = transpose(array([x,y,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (nx,ny)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_NumberMap_On_Carthesian_2d_Grid(nb,nx,ny,xmin,xmax,ymin,ymax):
'''
Return an array of points containing mass of particles
'''
xmax = float(xmax)
xmin = float(xmin)
ymax = float(ymax)
ymin = float(ymin)
x = nb.pos[:,0]
y = nb.pos[:,1]
z = nb.pos[:,2]
# scale between 0 and 1
x = (x-xmin)/(xmax-xmin)
y = (y-ymin)/(ymax-ymin)
# compute values
pos = transpose(array([x,y,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (nx,ny)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_PotentialMap_On_Carthesian_2d_Grid(nb,nx,ny,xmin,xmax,ymin,ymax,eps,Tree=None):
'''
Return an array of points containing potential
'''
pos = get_Points_On_Carthesian_2d_Grid(nx,ny,xmin,xmax,ymin,ymax)
Tree = nb.getTree()
pot = Tree.Potential(pos,eps)
# transform back into array
pot.shape = (nx,ny)
return pot
def get_SurfaceMap_On_Carthesian_2d_Grid(nb,nx,ny,xmin,xmax,ymin,ymax):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
xmax = float(xmax)
xmin = float(xmin)
ymax = float(ymax)
ymin = float(ymin)
# compute volume (surface)
dx = (xmax-xmin)/nx
dy = (ymax-ymin)/ny
v = dx*dy
# make the map
mat = ones((nx,ny)) * v
mat = mat.astype(float32)
return mat
def get_SurfaceDensityMap_On_Carthesian_2d_Grid(nb,nx,ny,xmin,xmax,ymin,ymax):
'''
Return an array of points containing density in each cell
'''
m = get_MassMap_On_Carthesian_2d_Grid(nb,nx,ny,xmin,xmax,ymin,ymax)
s = get_SurfaceMap_On_Carthesian_2d_Grid(nb,nx,ny,xmin,xmax,ymin,ymax)
return m/s
##############
# 3 dimensions
##############
def get_xyz_Of_Carthesian_3d_Grid(nx,ny,nz,xmin,xmax,ymin,ymax,zmin,zmax,offx=0,offy=0,offz=0):
xmax = float(xmax)
xmin = float(xmin)
ymax = float(ymax)
ymin = float(ymin)
zmax = float(zmax)
zmin = float(zmin)
ix = arange(nx)
iy = arange(ny)
iz = arange(nz)
x = (ix+offx)*(xmax-xmin)/nx + xmin
y = (iy+offy)*(ymax-ymin)/ny + ymin
z = (iz+offz)*(zmax-zmin)/nz + zmin
return x,y,z
def get_Points_On_Carthesian_3d_Grid(nx,ny,nz,xmin,xmax,ymin,ymax,zmin,zmax,offx=0,offy=0,offz=0):
'''
Return an array of points corresponding to the center of cells
af a 3d carthesian grid.
To get a nt X nr array from the returned vector (pos), do
x = copy(pos[:,0])
y = copy(pos[:,1])
z = copy(pos[:,2])
x.shape = (nx,ny,nz)
y.shape = (nx,ny,nz)
z.shape = (nx,ny,nz)
'''
xmax = float(xmax)
xmin = float(xmin)
ymax = float(ymax)
ymin = float(ymin)
zmax = float(zmax)
zmin = float(zmin)
nx = int(nx)
ny = int(ny)
nz = int(nz)
ix,iy,iz = indices((nx,ny,nz))
x = (ix+offx)*(xmax-xmin)/nx + xmin
y = (iy+offy)*(ymax-ymin)/ny + ymin
z = (iz+offz)*(zmax-zmin)/nz + zmin
x = ravel(x)
y = ravel(y)
z = ravel(z)
return transpose(array([x,y,z])).astype(float32)
def get_MassMap_On_Carthesian_3d_Grid(nb,nx,ny,nz,xmin,xmax,ymin,ymax,zmin,zmax):
'''
Return an array of points containing mass of particles
'''
xmax = float(xmax)
xmin = float(xmin)
ymax = float(ymax)
ymin = float(ymin)
zmax = float(zmax)
zmin = float(zmin)
x = nb.pos[:,0]
y = nb.pos[:,1]
z = nb.pos[:,2]
# scale between 0 and 1
x = (x-xmin)/(xmax-xmin)
y = (y-ymin)/(ymax-ymin)
z = (z-zmin)/(zmax-zmin)
# compute values
pos = transpose(array([x,y,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (nx,ny,nz)
# make the map
mat = mapping.mkmap3d(pos,mass,val,shape)
return mat
def get_NumberMap_On_Carthesian_3d_Grid(nb,nx,ny,nz,xmin,xmax,ymin,ymax,zmin,zmax):
'''
Return an array of points containing mass of particles
'''
xmax = float(xmax)
xmin = float(xmin)
ymax = float(ymax)
ymin = float(ymin)
zmax = float(zmax)
zmin = float(zmin)
x = nb.pos[:,0]
y = nb.pos[:,1]
z = nb.pos[:,2]
# scale between 0 and 1
x = (x-xmin)/(xmax-xmin)
y = (y-ymin)/(ymax-ymin)
z = (z-zmin)/(zmax-zmin)
# compute values
pos = transpose(array([x,y,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (nx,ny,nz)
# make the map
mat = mapping.mkmap3d(pos,mass,val,shape)
return mat
def get_PotentialMap_On_Carthesian_3d_Grid(nb,nx,ny,nz,xmin,xmax,ymin,ymax,zmin,zmax,eps,Tree=None):
'''
Return an array of points containing potential
'''
pos = get_Points_On_Carthesian_3d_Grid(nb,nx,ny,nz,xmin,xmax,ymin,ymax,zmin,zmax)
Tree = nb.getTree()
pot = Tree.Potential(pos,eps)
# transform back into array
pot.shape = (nx,ny,nz)
return pot
def get_VolumeMap_On_Carthesian_3d_Grid(nb,nx,ny,nz,xmin,xmax,ymin,ymax,zmin,zmax):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
xmax = float(xmax)
xmin = float(xmin)
ymax = float(ymax)
ymin = float(ymin)
zmax = float(zmax)
zmin = float(zmin)
# compute volume (surface)
dx = (xmax-xmin)/nx
dy = (ymax-ymin)/ny
dz = (zmax-zmin)/nz
v = dx*dy*dz
# make the map
mat = ones((nx,ny,nz)) * v
mat = mat.astype(float32)
return mat
def get_DensityMap_On_Carthesian_3d_Grid(nb,nx,ny,nz,xmin,xmax,ymin,ymax,zmin,zmax):
'''
Return an array of points containing density in each cell
'''
m = get_MassMap_On_Carthesian_3d_Grid(nb,nx,ny,nz,xmin,xmax,ymin,ymax,zmin,zmax)
v = get_VolumeMap_On_Carthesian_3d_Grid(nb,nx,ny,nz,xmin,xmax,ymin,ymax,zmin,zmax)
return m/v
#######################################
# cylindrical grid
#######################################
######################
# 2 dimensions r,t (h)
######################
def get_rt_Of_Cylindrical_2dh_Grid(nr,nt,rmax,offr=0,offt=0):
rmin = 0.0
rmax = float(rmax)
tmin = 0.0
tmax = 2*pi
ir = arange(nr)
it = arange(nt)
r = (ir+offr)*(rmax-rmin)/nr + rmin
t = (it+offt)*(tmax-tmin)/nt + tmin
return r,t
def get_Points_On_Cylindrical_2dh_Grid(nr,nt,rmax,offr=0,offt=0):
'''
Return an array of points corresponding to the nodes of
a 2d cylindrical grid
To get a nt X nr array from the returned vector (pos), do
x = copy(pos[:,0])
y = copy(pos[:,1])
z = copy(pos[:,2])
x.shape = (nr,nt)
y.shape = (nr,nt)
z.shape = (nr,nt)
# to get r and theta
r = sqrt(x**2+y**2+z**2)
t = arctan2(y,x)*180/pi
'''
rmin = 0.0
rmax = float(rmax)
tmin = 0.0
tmax = 2*pi
nr = int(nr)
nt = int(nt)
ir,it = indices((nr,nt))
r = (ir+offr)*(rmax-rmin)/nr + rmin
t = (it+offt)*(tmax-tmin)/nt + tmin
r = ravel(r)
t = ravel(t)
x = r*cos(t)
y = r*sin(t)
z = zeros(len(x))
return transpose(array([x,y,z])).astype(float32)
def get_MassMap_On_Cylindrical_2dh_Grid(nb,nr,nt,rmax):
'''
Return an array of points containing mass of particles
'''
rmin = 0.0
rmax = float(rmax)
tmin = 0.0
tmax = 2*pi
r = nb.rxy()
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-rmin)/(rmax-rmin)
t = (t-tmin)/(tmax-tmin)
# compute values
pos = transpose(array([r,t,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (nr,nt)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_NumberMap_On_Cylindrical_2dh_Grid(nb,nr,nt,rmax):
'''
Return an array of points containing mass of particles
'''
rmin = 0.0
rmax = float(rmax)
tmin = 0.0
tmax = 2*pi
r = nb.rxy()
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-rmin)/(rmax-rmin)
t = (t-tmin)/(tmax-tmin)
# compute values
pos = transpose(array([r,t,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (nr,nt)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_PotentialMap_On_Cylindrical_2dh_Grid(nb,nr,nt,rmax,eps,Tree=None):
'''
Return an array of points containing potential
'''
pos = get_Points_On_Cylindrical_2dh_Grid(nr,nt,rmax)
Tree = nb.getTree()
pot = Tree.Potential(pos,eps)
# transform back into array
pot.shape = (nr,nt)
return pot
def get_SurfaceMap_On_Cylindrical_2dh_Grid(nb,nr,nt,rmax):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
rmax = float(rmax)
# compute volume (surface)
#dr = rmax/nr
#rs = arange(nr+1)*dr
#v = (pi*rs[1:]**2 - pi*rs[:-1]**2 )/nt
def volume(ir,it):
dr = (rmax/nr)
r = ir*dr
return pi*((r+dr)**2 - (r)**2 )/nt
# make the map
mat = fromfunction(volume,(nr,nt))
mat = mat.astype(float32)
return mat
def get_SurfaceDensityMap_On_Cylindrical_2dh_Grid(nb,nr,nt,rmax):
'''
Return an array of points containing density in each cell
'''
m = get_MassMap_On_Cylindrical_2dh_Grid(nb,nr,nt,rmax)
s = get_SurfaceMap_On_Cylindrical_2dh_Grid(nb,nr,nt,rmax)
return m/s
######################
# 2 dimensions r,z (v)
######################
def get_rz_Of_Cylindrical_2dv_Grid(nr,nz,rmax,zmin,zmax):
rmin = 0.0
rmax = float(rmax)
zmin = float(zmin)
zmax = float(zmax)
nr = int(nr)
nz = int(nz)
ir = arange(nr)
iz = arange(nz)
r = (ir+0.0)*(rmax-rmin)/nr + rmin
z = (iz+0.0)*(zmax-zmin)/nz + zmin
return r,z
def get_Points_On_Cylindrical_2dv_Grid(nr,nz,rmax,zmin,zmax,offr=0,offz=0):
'''
Return an array of points corresponding to the nodes of
a 2d cylindrical grid
To get a nt X nr array from the returned vector (pos), do
x = copy(pos[:,0])
y = copy(pos[:,1])
z = copy(pos[:,2])
x.shape = (nr,nt)
y.shape = (nr,nt)
z.shape = (nr,nt)
# to get r and theta
r = sqrt(x**2+y**2+z**2)
t = arctan2(y,x)*180/pi
'''
rmin = 0.0
rmax = float(rmax)
zmin = float(zmin)
zmax = float(zmax)
nr = int(nr)
nz = int(nz)
ir,iz = indices((nr,nz))
r = (ir+offr)*(rmax-rmin)/nr + rmin
z = (iz+offz)*(zmax-zmin)/nz + zmin
r = ravel(r)
z = ravel(z)
x = r
y = zeros(len(x))
z = z
return transpose(array([x,y,z])).astype(float32)
def get_MassMap_On_Cylindrical_2dv_Grid(nb,nr,nz,rmax,zmin,zmax):
'''
Return an array of points containing mass of particles
'''
rmin = 0.0
rmax = float(rmax)
zmin = float(zmin)
zmax = float(zmax)
nr = int(nr)
nz = int(nz)
r = nb.rxy()
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-rmin)/(rmax-rmin)
z = (z-zmin)/(zmax-zmin)
# compute values
pos = transpose(array([r,z,t])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (nr,nz)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_NumberMap_On_Cylindrical_2dv_Grid(nb,nr,nz,rmax,zmin,zmax):
'''
Return an array of points containing mass of particles
'''
rmin = 0.0
rmax = float(rmax)
zmin = float(zmin)
zmax = float(zmax)
nr = int(nr)
nz = int(nz)
r = nb.rxy()
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-rmin)/(rmax-rmin)
z = (z-zmin)/(zmax-zmin)
# compute values
pos = transpose(array([r,z,t])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (nr,nz)
# make the map
mat = mapping.mkmap2d(pos,mass,val,shape)
return mat
def get_PotentialMap_On_Cylindrical_2dv_Grid(nb,nr,nz,rmax,zmin,zmax,eps,Tree=None):
'''
Return an array of points containing potential
'''
pos = get_Points_On_Cylindrical_2dv_Grid(nr,nz,rmax,zmin,zmax)
Tree = nb.getTree()
pot = Tree.Potential(pos,eps)
# transform back into array
pot.shape = (nr,nz)
return pot
def get_AccelerationMap_On_Cylindrical_2dv_Grid(nb,nr,nz,rmax,zmin,zmax,eps,Tree=None):
'''
Return an array of points containing accelerations
'''
pos = get_Points_On_Cylindrical_2dv_Grid(nr,nz,rmax,zmin,zmax)
Tree = nb.getTree()
acc = Tree.Acceleration(pos,eps)
accx = copy(acc[:,0])
accy = copy(acc[:,1])
accz = copy(acc[:,2])
# transform back into array
accx.shape = (nr,nz)
accy.shape = (nr,nz)
accz.shape = (nr,nz)
return accx,accy,accz
def get_VolumeMap_On_Cylindrical_2dv_Grid(nb,nr,nz,rmax,zmin,zmax):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
rmin = 0.0
rmax = float(rmax)
zmin = float(zmin)
zmax = float(zmax)
nr = int(nr)
nz = int(nz)
# compute volume (surface)
#dr = rmax/nr
#rs = arange(nr+1)*dr
#v = (pi*rs[1:]**2 - pi*rs[:-1]**2 )/nt
def volume(ir,iz):
dr = (rmax-rmin)/nr
dz = (zmax-zmin)/nz
r = ir*dr
return pi*((r+dr)**2 - (r)**2 ) * dz
# make the map
mat = fromfunction(volume,(nr,nz))
mat = mat.astype(float32)
return mat
def get_DensityMap_On_Cylindrical_2dv_Grid(nb,nr,nz,rmax,zmin,zmax):
'''
Return an array of points containing density in each cell
'''
m = get_MassMap_On_Cylindrical_2dv_Grid(nb,nr,nz,rmax,zmin,zmax)
v = get_VolumeMap_On_Cylindrical_2dv_Grid(nb,nr,nz,rmax,zmin,zmax)
return m/v
def get_SurfaceDensityMap_From_Cylindrical_2dv_Grid(nb,nr,nz,rmax,zmin,zmax):
'''
Return an array of points containing the surface density along r
'''
m = get_MassMap_On_Cylindrical_2dv_Grid(nb,nr,nz,rmax,zmin,zmax)
m = get_Sum_Along_Axis(m)
def surface(ir):
dr = (rmax)/nr
r = ir*dr
return pi*((r+dr)**2 - (r)**2 )
s = fromfunction(surface,(nr,))
return m/s
def get_Interpolation_On_Cylindrical_2dv_Grid(pos,mat,nr,nz,rmax,zmin,zmax,offr=0,offz=0):
'''
Interpolates continuous value of pos, using matrix mat
'''
rmin = 0.0
rmax = float(rmax)
zmin = float(zmin)
zmax = float(zmax)
nr = int(nr)
nz = int(nz)
r = sqrt(pos[:,0]**2+pos[:,1]**2)
z = pos[:,2]
ir = (r-rmin)/(rmax-rmin)* nr - offr
iz = (z-zmin)/(zmax-zmin)* nz - offz
return myNumeric.Interpolate_From_2d_Array(ir.astype(float32),iz.astype(float32),mat.astype(float32))
def get_r_Interpolation_On_Cylindrical_2dv_Grid(pos,mat,nr,nz,rmax,zmin,zmax,offr=0):
'''
Interpolates continuous value of pos, using matrix mat
only along first axis.
'''
rmin = 0.0
rmax = float(rmax)
zmin = float(zmin)
zmax = float(zmax)
nr = int(nr)
nz = int(nz)
r = sqrt(pos[:,0]**2+pos[:,1]**2)
ir = (r-rmin)/(rmax-rmin)* nr - offr
return myNumeric.Interpolate_From_1d_Array(ir.astype(float32),mat.astype(float32))
##############
# 3 dimensions
##############
def get_rtz_Of_Cylindrical_3d_Grid(nr,nt,nz,rmax,zmin,zmax,offr=0,offt=0,offz=0):
rmin = 0.0
rmax = float(rmax)
tmin = 0.0
tmax = 2*pi
zmin = float(zmin)
zmax = float(zmax)
ir = arange(nr)
it = arange(nt)
iz = arange(nz)
r = (ir+offr)*(rmax-rmin)/nr + rmin
t = (it+offt)*(tmax-tmin)/nt + tmin
z = (iz+offz)*(zmax-zmin)/nz + zmin
return r,t,z
def get_Points_On_Cylindrical_3d_Grid(nr,nt,nz,rmax,zmin,zmax,offr=0,offt=0,offz=0):
'''
Return an array of points corresponding to the nodes of
a 2d cylindrical grid
To get a nt X nr array from the returned vector (pos), do
x = pos[:,0]
y = pos[:,0]
z = pos[:,0]
x.shape = (nr,nt,nz)
y.shape = (nr,nt,nz)
z.shape = (nr,nt,nz)
# to get r and theta
r = sqrt(x**2+y**2+z**2)
t = arctan2(y,x)*180/pi
'''
rmin = 0.0
rmax = float(rmax)
tmin = 0.0
tmax = 2*pi
zmin = float(zmin)
zmax = float(zmax)
nr = int(nr)
nt = int(nt)
nz = int(nz)
ir,it,iz = indices((nr,nt,nz))
r = (ir+offr)*(rmax-rmin)/nr + rmin
t = (it+offt)*(tmax-tmin)/nt + tmin
z = (iz+offz)*(zmax-zmin)/nz + zmin
r = ravel(r)
t = ravel(t)
z = ravel(z)
x = r*cos(t)
y = r*sin(t)
z = z
return transpose(array([x,y,z])).astype(float32)
def get_MassMap_On_Cylindrical_3d_Grid(nb,nr,nt,nz,rmax,zmin,zmax):
'''
Return an array of points containing mass of particles
'''
rmin = 0.0
rmax = float(rmax)
tmin = 0.0
tmax = 2*pi
zmin = float(zmin)
zmax = float(zmax)
r = nb.rxy()
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-rmin)/(rmax-rmin)
t = (t-tmin)/(tmax-tmin)
z = (t-zmin)/(zmax-zmin)
# compute values
pos = transpose(array([r,t,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (nr,nt,nz)
# make the map
mat = mapping.mkmap3d(pos,mass,val,shape)
return mat
def get_NumberMap_On_Cylindrical_3d_Grid(nb,nr,nt,nz,rmax,zmin,zmax):
'''
Return an array of points containing mass of particles
'''
rmin = 0.0
rmax = float(rmax)
tmin = 0.0
tmax = 2*pi
zmin = float(zmin)
zmax = float(zmax)
r = nb.rxy()
t = nb.phi_xy() + pi
z = nb.pos[:,2]
# scale between 0 and 1
r = (r-rmin)/(rmax-rmin)
t = (t-tmin)/(tmax-tmin)
z = (t-zmin)/(zmax-zmin)
# compute values
pos = transpose(array([r,t,z])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (nr,nt,nz)
# make the map
mat = mapping.mkmap3d(pos,mass,val,shape)
return mat
def get_PotentialMap_On_Cylindrical_3d_Grid(nb,nr,nt,nz,rmax,zmin,zmax,eps,Tree=None):
'''
Return an array of points containing potential
'''
pos = get_Points_On_Cylindrical_3d_Grid(nr,nt,nz,rmax,zmin,zmax)
Tree = nb.getTree()
pot = Tree.Potential(pos,eps)
# transform back into array
pot.shape = (nr,nt,nz)
return pot
def get_VolumeMap_On_Cylindrical_3d_Grid(nb,nr,nt,nz,rmax,zmin,zmax):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
rmax = float(rmax)
zmin = float(zmin)
zmax = float(zmax)
# compute volume (surface)
#dr = rmax/nr
#rs = arange(nr+1)*dr
#v = (pi*rs[1:]**2 - pi*rs[:-1]**2 )/nt
def volume(ir,it,iz):
dr = (rmax/nr)
dz = (zmax-zmin)/nz
r = ir*dr
return pi*((r+dr)**2 - (r)**2 )/nt * dz
# make the map
mat = fromfunction(volume,(nr,nt,nz))
mat = mat.astype(float32)
return mat
def get_DensityMap_On_Cylindrical_3d_Grid(nb,nr,nt,nz,rmax,zmin,zmax):
'''
Return an array of points containing density in each cell
'''
m = get_MassMap_On_Cylindrical_3d_Grid(nb,nr,nt,nz,rmax,zmin,zmax)
v = get_VolumeMap_On_Cylindrical_3d_Grid(nb,nr,nt,nz,rmax,zmin,zmax)
return m/v
#######################################
# spherical grid
#######################################
##############
# 1 dimension
##############
def get_r_Of_Spherical_1d_Grid(nr,rmax,offr=0,f=None,fm=None):
rmin = 0.0
rmax = float(rmax)
if f!=None:
rmin=f(rmin)
rmax=f(rmax)
ir = arange(nr)
r = (ir+offr)*(rmax-rmin)/nr + rmin
if fm!=None:
r = fm(r)
return r
def get_Points_On_Spherical_1d_Grid(nr,rmax,offr=0,f=None,fm=None):
'''
Return an array of points corresponding to the nodes of
a 1d spherical grid
To get a nt X nr array from the returned vector (pos), do
x = pos[:,0]
y = pos[:,0]
z = pos[:,0]
x.shape = (nr,np,nt)
y.shape = (nr,np,nt)
z.shape = (nr,np,nt)
'''
rmin = 0.0
rmax = float(rmax)
nr = int(nr)
if f!=None:
rmin=f(rmin)
rmax=f(rmax)
ir = indices((nr,))
r = (ir+offr)*(rmax-rmin)/nr + rmin
r = ravel(r)
if fm!=None:
r = fm(r)
x = r
y = zeros(len(x))
z = zeros(len(x))
return transpose(array([x,y,z])).astype(float32)
def get_MassMap_On_Spherical_1d_Grid(nb,nr,rmax,f=None,fm=None):
'''
Return an array of points containing mass of particles
'''
rmin = 0.0
rmax = float(rmax)
r = nb.rxyz() # 0 -> rmax
# here, we scale
if f!=None:
rmin = f(rmin)
rmax = f(rmax)
r = f(r)
# scale between 0 and 1
r = (r-rmin)/(rmax-rmin)
# compute values
pos = transpose(array(r)).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (nr,)
# make the map
mat = mapping.mkmap1d(pos,mass,val,shape)
return mat
def get_GenericMap_On_Spherical_1d_Grid(nb,nr,rmax,val,f=None,fm=None):
'''
Return an array of points containing mass*val
'''
rmin = 0.0
rmax = float(rmax)
r = nb.rxyz() # 0 -> rmax
# here, we scale
if f!=None:
rmin = f(rmin)
rmax = f(rmax)
r = f(r)
# scale between 0 and 1
r = (r-rmin)/(rmax-rmin)
# compute values
pos = transpose(array(r)).astype(float32)
val = val.astype(float32)
mass= nb.mass.astype(float32)
shape = (nr,)
# make the map
mat = mapping.mkmap1d(pos,mass,val,shape)
return mat
def get_NumberMap_On_Spherical_1d_Grid(nb,nr,rmax,f=None,fm=None):
'''
Return an array of points containing number of particles
'''
rmin = 0.0
rmax = float(rmax)
r = nb.rxyz() # 0 -> rmax
# here, we scale
if f!=None:
rmin = f(rmin)
rmax = f(rmax)
r = f(r)
# scale between 0 and 1
r = (r-rmin)/(rmax-rmin)
# compute values
pos = transpose(array(r)).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (nr,)
# make the map
mat = mapping.mkmap1d(pos,mass,val,shape)
return mat
def get_PotentialMap_On_Spherical_1d_Grid(nb,nr,rmax,eps,Tree=None,f=None,fm=None):
'''
Return an array of points containing potential
'''
pos = get_Points_On_Spherical_1d_Grid(nr,rmax,f=f,fm=fm)
Tree = nb.getTree()
pot = Tree.Potential(pos,eps)
# transform back into array
pot.shape = (nr,)
return pot
def get_SurfaceMap_On_Spherical_1d_Grid(nb,nr,rmax,f=None,fm=None):
'''
Return an array of points containing surface (volume)
of each cell.
'''
rmin = 0.0
rmax = float(rmax)
# compute volume (surface)
#def volume(ir):
# dr = (rmax/nr) + (ir-ir)
# return dr
#
## make the map
#mat = fromfunction(volume,(nr,))
#mat = mat.astype(float32)
r1 = get_r_Of_Spherical_1d_Grid(nr,rmax,offr=0,f=f,fm=fm)
r2 = get_r_Of_Spherical_1d_Grid(nr,rmax,offr=1,f=f,fm=fm)
mat = r2-r1
mat = mat.astype(float32)
return mat
def get_VolumeMap_On_Spherical_1d_Grid(nb,nr,rmax,f=None,fm=None):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
rmin = 0.0
rmax = float(rmax)
# compute volume (surface)
#def volume(ir):
# dr = (rmax/nr)
# r = ir*dr
# return 4.0/3.0*pi*( (r+dr)**3 - (r)**3 )
#
# make the map
#mat = fromfunction(volume,(nr,))
#mat = mat.astype(float32)
r1 = get_r_Of_Spherical_1d_Grid(nr,rmax,offr=0,f=f,fm=fm)
r2 = get_r_Of_Spherical_1d_Grid(nr,rmax,offr=1,f=f,fm=fm)
mat = 4.0/3.0*pi*( (r2)**3 - (r1)**3 )
mat = mat.astype(float32)
return mat
def get_DensityMap_On_Spherical_1d_Grid(nb,nr,rmax,f=None,fm=None):
'''
Return an array of points containing density in each cell
'''
m = get_MassMap_On_Spherical_1d_Grid(nb,nr,rmax,f=f,fm=fm)
v = get_VolumeMap_On_Spherical_1d_Grid(nb,nr,rmax,f=f,fm=fm)
return m/v
def get_LinearDensityMap_On_Spherical_1d_Grid(nb,nr,rmax,f=None,fm=None):
'''
Return an array of points containing the linear density in each cell
'''
m = get_MassMap_On_Spherical_1d_Grid(nb,nr,rmax,f=f,fm=fm)
s = get_SurfaceMap_On_Spherical_1d_Grid(nb,nr,rmax,f=f,fm=fm)
return m/s
def get_AccumulatedMassMap_On_Spherical_1d_Grid(nb,nr,rmax,f=None,fm=None):
'''
Return an array of points containing M(r) in each cell
'''
m = get_MassMap_On_Spherical_1d_Grid(nb,nr,rmax,f=f,fm=fm)
mr = get_Accumulation_Along_Axis(m,axis=0)
return mr
def get_Interpolation_On_Spherical_1d_Grid(pos,mat,nr,rmax,offr=0,f=None,fm=None):
'''
Interpolates continuous value of pos, using matrix mat
'''
rmin = 0.0
rmax = float(rmax)
nr = int(nr)
r = sqrt(pos[:,0]**2+pos[:,1]**2+pos[:,2]**2)
# here, we scale
if f!=None:
rmin = f(rmin)
rmax = f(rmax)
r = f(r)
ir = (r-rmin)/(rmax-rmin)* nr - offr
return myNumeric.Interpolate_From_1d_Array(ir.astype(float32),mat.astype(float32))
##############
# 3 dimensions
##############
def get_rpt_Of_Spherical_3d_Grid(nr,np,nt,rmax,offr=0,offp=0,offt=0):
rmin = 0.0
rmax = float(rmax)
pmin = 0.0
pmax = 2*pi
tmin = -pi/2
tmax = pi/2
ir = arange(nr)
ip = arange(np)
it = arange(nt)
r = (ir+offr)*(rmax-rmin)/nr + rmin
p = (ip+offp)*(pmax-pmin)/np + pmin
t = (it+offt)*(tmax-tmin)/nt + tmin
return r,p,t
def get_Points_On_Spherical_3d_Grid(nr,np,nt,rmax,offr=0,offp=0,offt=0):
'''
Return an array of points corresponding to the nodes of
a 3d spherical grid
To get a nt X nr array from the returned vector (pos), do
x = pos[:,0]
y = pos[:,0]
z = pos[:,0]
x.shape = (nr,np,nt)
y.shape = (nr,np,nt)
z.shape = (nr,np,nt)
'''
rmin = 0.0
rmax = float(rmax)
pmin = 0.0
pmax = 2*pi
tmin = -pi/2
tmax = pi/2
nr = int(nr)
np = int(np)
nt = int(nt)
ir,ip,it = indices((nr,np,nt))
r = (ir+offr)*(rmax-rmin)/nr + rmin
p = (ip+offp)*(pmax-pmin)/np + pmin
t = (it+offt)*(tmax-tmin)/nt + tmin
r = ravel(r)
p = ravel(p)
t = ravel(t)
x = r*cos(p)*cos(t)
y = r*sin(p)*cos(t)
z = r *sin(t)
return transpose(array([x,y,z])).astype(float32)
def get_MassMap_On_Spherical_3d_Grid(nb,nr,np,nt,rmax):
'''
Return an array of points containing mass of particles
'''
rmin = 0.0
rmax = float(rmax)
pmin = 0.0
pmax = 2*pi
tmin = -pi/2
tmax = pi/2
r = nb.rxyz() # 0 -> rmax
p = nb.phi_xyz() + pi # 0 -> pi
t = nb.theta_xyz() # -pi/2 -> pi/2
# scale between 0 and 1
r = (r-rmin)/(rmax-rmin)
p = (p-pmin)/(pmax-pmin)
t = (t-tmin)/(tmax-tmin)
# compute values
pos = transpose(array([r,p,t])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= nb.mass.astype(float32)
shape = (nr,np,nt)
# make the map
mat = mapping.mkmap3d(pos,mass,val,shape)
return mat
def get_NumberMap_On_Spherical_3d_Grid(nb,nr,np,nt,rmax):
'''
Return an array of points containing mass of particles
'''
rmin = 0.0
rmax = float(rmax)
pmin = 0.0
pmax = 2*pi
tmin = -pi/2
tmax = pi/2
r = nb.rxyz() # 0 -> rmax
p = nb.phi_xyz() + pi # 0 -> pi
t = nb.theta_xyz() # -pi/2 -> pi/2
# scale between 0 and 1
r = (r-rmin)/(rmax-rmin)
p = (p-pmin)/(pmax-pmin)
t = (t-tmin)/(tmax-tmin)
# compute values
pos = transpose(array([r,p,t])).astype(float32)
val = ones(pos.shape).astype(float32)
mass= ones(pos.shape).astype(float32)
shape = (nr,np,nt)
# make the map
mat = mapping.mkmap3d(pos,mass,val,shape)
return mat
def get_PotentialMap_On_Spherical_3d_Grid(nb,nr,np,nt,rmax,eps,Tree=None):
'''
Return an array of points containing potential
'''
pos = get_Points_On_Spherical_3d_Grid(nr,np,nt,rmax)
Tree = nb.getTree()
pot = Tree.Potential(pos,eps)
# transform back into array
pot.shape = (nr,np,nt)
return pot
def get_VolumeMap_On_Spherical_3d_Grid(nb,nr,np,nt,rmax):
'''
Return an array of points containing corresponding physical
volumes of each cell (usefull to compute density)
'''
print "get_VolumeMap_On_Spherical_3d_Grid is probably wrong"
print "we should add a cos(t) or somthing similar"
sys.exit()
rmin = 0.0
rmax = float(rmax)
pmin = 0.0
pmax = 2*pi
tmin = -pi/2
tmax = pi/2
# compute volume (surface)
def volume(ir,ip,it):
dr = (rmax/nr)
r = ir*dr
return 4.0/3.0*pi*( (r+dr)**3 - (r)**3 ) / np / nt
# make the map
mat = fromfunction(volume,(nr,np,nt))
mat = mat.astype(float32)
return mat
def get_DensityMap_On_Spherical_3d_Grid(nb,nr,np,nt,rmax):
'''
Return an array of points containing density in each cell
'''
m = get_MassMap_On_Spherical_3d_Grid(nb,nr,np,nt,rmax)
v = get_VolumeMap_On_Spherical_3d_Grid(nb,nr,np,nt,rmax)
return m/v
diff --git a/pNbody/main.py b/pNbody/main.py
index cc92550..ef90432 100644
--- a/pNbody/main.py
+++ b/pNbody/main.py
@@ -1,5811 +1,5817 @@
# -*- coding: utf-8 -*-
# some standard modules
import os,sys,string,types,glob
from copy import deepcopy
import warnings
# array module
from numpy import *
from numpy import clip as numclip
from numpy import random as RandomArray
# module that init parameters
from parameters import *
# nbody python modules
import io
from libutil import *
from palette import *
import geometry as geo
import fourier
import param
import liblog
import libgrid
import libdisk
import libutil
import nbdrklib
# nbody C modules
from myNumeric import *
from mapping import *
from nbodymodule import *
# Gtools module (now integrated in nbody)
#import Gtools as Gt
import units
import ctes
import thermodyn
import coolinglib
import cosmo
import treelib
import asciilib
try:
import ptreelib
except:
pass
try:
import libqt
except:
pass
try:
import SM
except:
pass
try: # all this is usefull to read files
from mpi4py import MPI
except:
MPI = None
import mpi # maybe we should send mpi instead of MPI
FLOAT = float
####################################################################################################################################
#
# DEFAULT CLASS NBODY
#
####################################################################################################################################
class NbodyDefault:
'''
This is the reference Nbody class.
This is the constructor for the **Nbody** object. Optional arguments are:
p_name : name of the file
in case of multiple files, files must be included in a list ["file1","file2"]
pos : positions (3xN array)
vel : positions (3xN array)
mass : positions (1x array)
num : id of particles (1xN array)
tpe : type of particles (1xN array)
ftype : type of input file (binary,ascii)
status : 'old' : open an old file
'new' : create a new object
byteorder : 'little' or 'big'
pio : parallel io : 'yes' or 'no'
local : True=local object, False=global object (paralellized) Not implemeted Yet
log : log file
unitsfile : define the type of units
by default this class initialize the following variables :
self.p_name : name of the file(s) to read or write
self.pos : array of positions
self.vel : array of velocities
self.mass : array of masses
self.num : array of id
self.tpe : array of types
self.ftype : type of the file
self.status : object status ('old' or 'new')
self.byteorder : byter order ('little' or 'big')
self.pio : parallel io ('yes' or 'no')
self.log : log object
# new variables
self.nbody : local number of particles
self.nbody_tot : total number of particles
self.mass_tot : total mass
self.npart : number of particles of each type
self.npart_tot : total number of particles of each type
self.spec_vars : dictionary of variables specific for the format used
self.spec_vect : dictionary of vector specific for the format used
'''
def __init__(self,p_name=None,pos=None,vel=None,mass=None,num=None,tpe=None,ftype=None,status='old',byteorder=sys.byteorder,pio='no',local=False,log=None,unitsfile=None):
#################################
# init vars
################################# /home/leo/.pNbody/formats/gadget.py
if p_name == None:
status = 'new'
if status=="new":
self.verbose=False
else:
self.verbose=True
self.set_filenames(p_name,pio=pio)
self.pos = pos
self.vel = vel
self.mass = mass
self.num = num
self.tpe = tpe
self.ftype = self.__class__.__name__
self.status = status
self.byteorder = byteorder
self.pio = pio
self.log = log
self.nbody = None
self.nbody_tot = None
self.mass_tot = None
self.npart = None
self.npart_tot = None
self.unitsfile = unitsfile
self.localsystem_of_units=None
#################################
# init units
#################################
self.init_units()
#################################
# init other parameters
#################################
self.parameters = param.Params(PARAMETERFILE,None)
self.defaultparameters = self.parameters.get_dic()
# log
if self.log == None:
self.log = liblog.Log(os.path.join(HOME,'.nbodylog'),show='yes')
###################################################
# in case of an old file, open and read the file(s)
###################################################
if status=='old':
self.read()
###################################################
# in case of a new file
###################################################
elif status=='new':
for i in range(len(self.p_name)):
if self.p_name[i] == None:
self.p_name[i] = 'file.dat'
###################################################
# final initialisation
###################################################
self.init()
###################################################
# check consistency
###################################################
# to be done
#################################
#
# init functions
#
#################################
#################################
def init(self):
#################################
'''
Initialize normal and specific class variables
'''
# 1) find the number of particles
self.nbody = self.get_nbody()
# 2) define undefined vectors
if self.pos == None:
self.pos = zeros((self.nbody,3),float32)
self.pos = self.pos.astype(float32)
else:
self.pos = self.pos.astype(float32)
if self.vel == None:
self.vel = zeros((self.nbody,3),float32)
self.vel = self.vel.astype(float32)
else:
self.vel = self.vel.astype(float32)
if self.mass == None:
self.mass = ones((self.nbody, ),float32)/self.nbody
self.mass = self.mass.astype(float32)
else:
self.mass = self.mass.astype(float32)
if self.tpe == None:
self.tpe = zeros(self.nbody,int)
self.tpe = self.tpe.astype(int)
else:
self.tpe = self.tpe.astype(int)
if self.num == None:
self.num = self.get_num()
self.num = self.num.astype(int)
else:
self.num = self.num.astype(int)
# 3) other variables
self.nbody_tot = self.get_nbody_tot()
self.mass_tot = self.get_mass_tot()
self.npart = self.get_npart()
self.npart_tot = self.get_npart_tot()
# Init specific class variables
# (may be redundant with make_specific_variables_global)
self.spec_vars = self.get_default_spec_vars()
list_of_vars = self.get_list_of_vars()
for name in self.spec_vars.keys():
try:
list_of_vars.index(name)
except ValueError:
setattr(self, name, self.spec_vars[name])
# Init specific class vectors
self.spec_vect = self.get_default_spec_array()
list_of_vect = self.get_list_of_array()
for name in self.spec_vect.keys():
try:
list_of_vect.index(name)
except ValueError:
setattr(self, name, ones(self.nbody,self.spec_vect[name][1])*self.spec_vect[name][0])
# init specific parameters
self.InitSpec()
# sph parameters/variables
self.InitSphParameters()
#################################
def InitSpec(self):
#################################
"""
This function allows to initialize specific parameters.
It must be defined in format files.
"""
pass
#################################
def get_format_file(self):
#################################
"return the format file"
return self._formatfile
#################################
def get_ftype(self,ftype='binary'):
#################################
"""
get the current used format
"""
return self.ftype
#################################
def set_ftype(self,ftype='binary'):
#################################
"""
Change the type of the file
ftype : type of the file
"""
if mpi.NTask > 1:
raise "Warning","set_ftype function is currently not suported with multi proc."
new = Nbody(status='new',ftype=ftype)
# now, copy all var linked to the model
for name in self.get_list_of_vars():
if name != 'ftype':
setattr(new, name, getattr(self,name))
# now, copy all array linked to the model
for name in self.get_list_of_array():
vec = getattr(self,name)
setattr(new, name, vec)
# other vars
new.init()
return new
#################################
def get_num(self):
#################################
"""
Compute the num variable in order to be consistent with particles types
"""
# compute npart_all
if self.npart == None:
npart = self.get_npart()
else:
npart = self.npart
npart_all = array(mpi.mpi_allgather(npart))
return mpi.mpi_sarange(npart_all) # + 1
#################################
def get_default_spec_vars(self):
#################################
'''
return specific variables default values for the class
'''
return {}
#################################
def get_default_spec_array(self):
#################################
'''
return specific array default values for the class
'''
return {}
#################################
def set_pio(self,pio):
#################################
"""
Set parallel input/output or not io
pio : 'yes' or 'no'
"""
self.pio = pio
self.set_filenames(self.p_name_global,pio=pio)
if pio=='yes':
self.num_files = mpi.NTask
else:
self.num_files = 1
#################################
def rename(self,p_name=None):
#################################
"""
Rename the files
p_name : new name(s)
"""
if p_name != None:
self.set_filenames(p_name,pio=self.pio)
#################################
def set_filenames(self,p_name,pio=None):
#################################
"""
Set the local and global names
p_name : new name(s)
pio : 'yes' or 'no'
"""
if type(p_name) == types.ListType:
self.p_name_global = []
self.p_name = []
for name in p_name:
if pio == 'yes':
self.p_name_global.append(name)
self.p_name.append("%s.%d"%(name,mpi.mpi_ThisTask()))
else:
self.p_name_global.append(name)
self.p_name.append(name)
else:
if pio == 'yes':
self.p_name_global = [p_name]
self.p_name = ["%s.%d"%(p_name,mpi.mpi_ThisTask())]
else:
self.p_name_global = [p_name]
self.p_name = [p_name]
#################################
def get_ntype(self):
#################################
"""
return the number of paticles types
"""
return len(self.npart)
#################################
def get_nbody(self):
#################################
"""
Return the local number of particles.
"""
if self.pos != None:
nbody = len(self.pos)
elif self.vel != None:
nbody = len(self.vel)
elif self.mass != None:
nbody = len(self.mass)
elif self.num != None:
nbody = len(self.num)
elif self.tpe != None:
nbody = len(self.tpe)
else:
nbody = 0
return nbody
#################################
def get_nbody_tot(self):
#################################
"""
Return the total number of particles.
"""
nbody_tot = mpi.mpi_allreduce(self.nbody)
return nbody_tot
#################################
def get_npart(self):
#################################
"""
Return the local number of particles of each types,
based on the variable tpe
"""
npart = array([],int)
n = 0
if self.tpe==None:
return npart.tolist()
for tpe in range(self.get_mxntpe()):
np = sum( (self.tpe==tpe).astype(int) )
npart = concatenate((npart,array([np])))
n = n + np
if n != self.nbody:
print "get_npart : n (=%d) is different from self.nbody (=%d)"%(n,self.nbody)
raise "get_npart : n is different from self.nbody"
return npart.tolist()
#################################
def get_npart_tot(self):
#################################
"""
Return the total number of particles of each types.
"""
npart = array(self.npart)
npart_tot = mpi.mpi_allreduce(npart)
npart_tot = npart_tot.tolist()
return npart_tot
#################################
def get_npart_all(self,npart_tot,NTask):
#################################
'''
From npart_tot, the total number of particles per type,
return npart_per_proc, an array where each element corresponds
to the value of npart of each process.
'''
if (type(npart_tot) != types.ListType) and (type(npart_tot) !=ndarray):
npart_tot = array([npart_tot])
ntype = len(npart_tot)
npart_all = zeros((NTask,ntype))
for i in range(len(npart_tot)):
for Task in range(NTask-1,-1,-1):
npart_all[Task,i] = npart_tot[i]/NTask + npart_tot[i]%NTask*(Task==0)
return npart_all
#################################
def get_npart_and_npart_all(self,npart):
#################################
'''
From npart (usually read for the header of a file), compute :
npart : number of particles in each type
npart_tot : total number of particles in each type
npart_all : npart for each process.
'''
#################################
def get_mxntpe(self):
#################################
'''
Return the max number of type for this format
'''
return 6
#################################
def make_default_vars_global(self):
#################################
'''
Make specific variables global
'''
self.spec_vars = self.get_default_spec_vars()
for name in self.spec_vars.keys():
if not self.has_var(name):
setattr(self, name, self.spec_vars[name])
#################################
def set_npart(self,npart):
#################################
"""
Set the local number of particles of each types.
This function modifies the variable self.tpe
"""
if sum(array(npart)) > self.nbody:
raise "Error (set_npart)","sum(npart) is greater than nbody"
i = 0
n0 = 0
for n in npart:
self.tpe[n0:n0+n] = ones(n)*i
i = i + 1
n0 = n0+n
self.tpe[n0:self.nbody] = ones(self.nbody-n0)*i
self.npart = self.get_npart()
self.npart_tot = self.get_npart_tot()
#################################
def set_tpe(self,tpe):
#################################
"""
Set all particles to the type tpe
"""
self.tpe = ones(self.nbody)*tpe
self.npart = self.get_npart()
self.npart_tot = self.get_npart_tot()
#################################
#
# parameters functions
#
#################################
'''
Warning, these routines are a bit bad...
'''
def set_parameters(self,params):
'''
Set parameters for the class
'''
self.parameters = param.Params(PARAMETERFILE,None)
self.parameters.params = params.params
self.defaultparameters = self.parameters.get_dic()
#################################
#
# units functions
#
#################################
'''
There is several ways to set the units in pNbody
In an object, the units are stored in
self.localsystem_of_units
which is a UnitSystem object defined in units.py
We define a unit system by giving Unit_lenght, Unit_mass, Unit_time, Unit_K, Unit_mol, and Unit_C
Actually only Unit_lenght, Unit_mass, Unit_time are used, all are Units object (units.py)
Following Gadget2, easy ways to definde units is to give three floats,
UnitVelocity_in_cm_per_s
UnitMass_in_g
UnitLength_in_cm
This is done using the method
self.set_local_system_of_units()
which uses UnitVelocity_in_cm_per_s,UnitMass_in_g,UnitLength_in_cm if they are given,
or read a gadget parameter file
or read a pNbody unitsparameter file
or use the default unitsparameter file.
'''
def init_units(self):
'''
This function is responsible for the units initialization.
It will create :
self.unitsparameters
that contains parameters like
- the hydrogen mass fraction,
- the metalicity ionisation flag
- the adiabatic index
- ...
and
self.localsystem_of_units
a UnitSystem object that really defines the system of units
in the Nbody object. It uses the values :
UnitLength_in_cm
UnitMass_in_g
UnitVelocity_in_cm_per_s
All physical values computed in pNbody should use self.localsystem_of_units to
be converted in other units.
self.unitsparameters is usefull if other parameters needs to be known, like
the adiabatic index, etc.
'''
# do not init the system of unit if it already exists
if self.localsystem_of_units!=None:
return
self.unitsparameters = param.Params(UNITSPARAMETERFILE,None)
if self.unitsfile!=None:
##############################################################
# 1) this part should be only in the gadget.py format file, no ? BOF, non
# 2) we could simplify using self.set_local_system_of_units()
# 3) and some options -> but this needs to update self.unitsparameters
##############################################################
# if it is a gadget parameter file
try:
gparams = io.read_params(self.unitsfile)
self.unitsparameters.set('HubbleParam', gparams['HubbleParam'])
self.unitsparameters.set('UnitLength_in_cm', gparams['UnitLength_in_cm'])
self.unitsparameters.set('UnitMass_in_g', gparams['UnitMass_in_g'])
self.unitsparameters.set('UnitVelocity_in_cm_per_s',gparams['UnitVelocity_in_cm_per_s'])
# those parameters may be in the header of the file
self.unitsparameters.set('Omega0', gparams['Omega0'])
self.unitsparameters.set('OmegaLambda', gparams['OmegaLambda'])
self.unitsparameters.set('OmegaBaryon', gparams['OmegaBaryon'])
self.unitsparameters.set('BoxSize', gparams['BoxSize'])
self.unitsparameters.set('ComovingIntegrationOn', gparams['ComovingIntegrationOn'])
#self.set_local_system_of_units(gadgetparameterfile=self.unitsfile)
except:
# try to read a pNbody units file
try:
self.unitsparameters = param.Params(self.unitsfile,None)
#self.set_local_system_of_units(unitparameterfile=self.unitsfile)
except:
raise IOError(015,'format of unitsfile %s unknown ! Pease check.'%(self.unitsfile))
# define local system of units it it does not exists
#if not self.has_var("localsystem_of_units"):
self.set_local_system_of_units()
# print info
#self.localsystem_of_units.info()
def set_unitsparameters(self,unitsparams):
'''
Set units parameters for the class.
'''
print "!!!!!! in set_unitsparameters !!!!"
print "!!!!!! this is bad !!!! we should never use UNITSPARAMETERFILE"
print "!!!!!! this is bad !!!! we should never use UNITSPARAMETERFILE"
self.unitsparameters = param.Params(UNITSPARAMETERFILE,None)
self.unitsparameters.params = unitsparams.params
self.set_local_system_of_units()
def set_local_system_of_units(self,params=None,UnitLength_in_cm=None,UnitVelocity_in_cm_per_s=None,UnitMass_in_g=None,unitparameterfile=None,gadgetparameterfile=None):
'''
Set local system of units using UnitLength_in_cm,UnitVelocity_in_cm_per_s,UnitMass_in_g
1) if nothing is given, we use self.unitsparameters to obtain these values
2) if UnitLength_in_cm
UnitVelocity_in_cm_per_s
UnitMass_in_g
are given, we use them
2b) if UnitLength_in_cm,UnitVelocity_in_cm_per_s,UnitMass_in_g
are given in a dictionary
3) if unitparameterfile is given we read the parameters from the file (units parameter format)
4) if gadgetparameterfile is given we read the parameters from the file (gadget param format)
'''
if gadgetparameterfile!=None:
params = io.read_params(gadgetparameterfile)
#print "Units Set From %s"%gadgetparameterfile
elif unitparameterfile!=None:
unitsparameters = param.Params(unitparameterfile,None)
params = {}
params['UnitLength_in_cm'] = unitsparameters.get('UnitLength_in_cm')
params['UnitVelocity_in_cm_per_s'] = unitsparameters.get('UnitVelocity_in_cm_per_s')
params['UnitMass_in_g'] = unitsparameters.get('UnitMass_in_g')
#print "Units Set From %s"%unitparameterfile
elif params!=None:
pass
#print "Units Set From %s"%params
elif UnitLength_in_cm!=None and UnitVelocity_in_cm_per_s!=None and UnitMass_in_g!=None:
params = {}
params['UnitLength_in_cm'] = UnitLength_in_cm
params['UnitVelocity_in_cm_per_s'] = UnitVelocity_in_cm_per_s
params['UnitMass_in_g'] = UnitMass_in_g
#print "Units Set From UnitLength_in_cm,UnitVelocity_in_cm_per_s,UnitMass_in_g"
else:
params = {}
params['UnitLength_in_cm'] = self.unitsparameters.get('UnitLength_in_cm')
params['UnitVelocity_in_cm_per_s'] = self.unitsparameters.get('UnitVelocity_in_cm_per_s')
params['UnitMass_in_g'] = self.unitsparameters.get('UnitMass_in_g')
#print "Units Set From %s (%s)"%("self.unitsparameters",self.unitsparameters.filename)
# now, create the
self.localsystem_of_units = units.Set_SystemUnits_From_Params(params)
#################################
#
# info functions
#
#################################
#################################
def info(self):
#################################
"""
Write info
"""
infolist = []
infolist.append("-----------------------------------")
if mpi.NTask>1:
infolist.append("")
infolist.append("ThisTask : %s"%mpi.ThisTask.__repr__())
infolist.append("NTask : %s"%mpi.NTask.__repr__())
infolist.append("")
infolist.append("particle file : %s"%self.p_name.__repr__())
infolist.append("ftype : %s"%self.ftype.__repr__())
infolist.append("mxntpe : %s"%self.get_mxntpe().__repr__())
infolist.append("nbody : %s"%self.nbody.__repr__())
infolist.append("nbody_tot : %s"%self.nbody_tot.__repr__())
infolist.append("npart : %s"%self.npart.__repr__())
infolist.append("npart_tot : %s"%self.npart_tot.__repr__())
infolist.append("mass_tot : %s"%self.mass_tot.__repr__())
infolist.append("byteorder : %s"%self.byteorder.__repr__())
infolist.append("pio : %s"%self.pio.__repr__())
if self.nbody != 0:
infolist.append("")
infolist.append("len pos : %s"%len(self.pos).__repr__())
infolist.append("pos[0] : %s"%self.pos[0].__repr__())
infolist.append("pos[-1] : %s"%self.pos[-1].__repr__())
infolist.append("len vel : %s"%len(self.vel).__repr__())
infolist.append("vel[0] : %s"%self.vel[0].__repr__())
infolist.append("vel[-1] : %s"%self.vel[-1].__repr__())
infolist.append("len mass : %s"%len(self.mass).__repr__())
infolist.append("mass[0] : %s"%self.mass[0].__repr__())
infolist.append("mass[-1] : %s"%self.mass[-1].__repr__())
infolist.append("len num : %s"%len(self.num).__repr__())
infolist.append("num[0] : %s"%self.num[0].__repr__())
infolist.append("num[-1] : %s"%self.num[-1].__repr__())
infolist.append("len tpe : %s"%len(self.tpe).__repr__())
infolist.append("tpe[0] : %s"%self.tpe[0].__repr__())
infolist.append("tpe[-1] : %s"%self.tpe[-1].__repr__())
if self.spec_info()!=None:
infolist = infolist + self.spec_info()
all_infolist = mpi.mpi_allgather(infolist)
if mpi.mpi_IsMaster():
for infolist in all_infolist:
for line in infolist:
#print line
self.log.write(line)
#################################
def spec_info(self):
#################################
"""
Write specific info
"""
return None
#################################
def object_info(self):
#################################
"""
Write class(object) info
"""
list_of_vars = self.get_list_of_vars()
list_of_array = self.get_list_of_array()
self.log.write("#############################")
self.log.write("list of vars")
self.log.write("#############################")
for name in list_of_vars:
self.log.write("%s %s"%( name,str(type(getattr(self,name)))))
self.log.write("#############################")
self.log.write("list of arrays")
self.log.write("#############################")
for name in list_of_array:
self.log.write("%s %s"%(name,str(type(getattr(self,name)))))
#################################
def nodes_info(self):
#################################
"""
Write info on nodes
"""
all_npart = mpi.mpi_allgather(self.npart)
all_nbody = mpi.mpi_allgather(self.nbody)
if mpi.mpi_IsMaster():
for Task in range(mpi.NTask):
line = "Task=%4d nbody=%10d"%(Task,all_nbody[Task])
line = line + " npart= "
for npart in all_npart[Task]:
line = line + "%10d "%npart
self.log.write(line)
#################################
def memory_info(self):
#################################
"""
Write info on memory size of the current object (only counting arrays size)
"""
total_size = 0
array_size = 0
elts = self.get_list_of_array()
for elt in elts:
#num_of_elts = getattr(self,elt).size
#byte_per_elts = getattr(self,elt).itemsize
#bytes = num_of_elts*byte_per_elts
bytes = getattr(self,elt).nbytes
total_size = total_size + bytes
array_size = array_size + bytes
print "(%d) %10s %14d"%(mpi.ThisTask,elt,bytes)
#elts = self.get_list_of_vars()
#for elt in elts:
array_size = mpi.mpi_reduce(array_size) # only the master return the info
total_size = mpi.mpi_reduce(total_size)
if mpi.mpi_IsMaster():
print "total size = %d octets"%(total_size)
if array_size < 1024:
print "total arrays size = %d octets"%(array_size)
else:
array_size = array_size/1024.0
if array_size < 1024:
print "total arrays size = %dK"%(array_size)
else:
array_size = array_size/1024.0
if array_size < 1024:
print "total arrays size = %dM"%(array_size)
else:
array_size = array_size/1024.0
if array_size < 1024:
print "total arrays size = %dG"%(array_size)
#################################
def print_filenames(self):
#################################
"""
Print files names
"""
self.log.write("p_name_global = %s"%str(self.p_name_global))
self.log.write("p_name = %s"%str(self.p_name))
#################################
#
# list of variables functions
#
#################################
def get_list_of_array(self):
"""
Return the list of numpy vectors of size nbody.
"""
list_of_arrays = []
for name in dir(self):
if type(getattr(self,name)) == ndarray:
if len(getattr(self,name)) == self.nbody:
#if (name!="nall") and (name!="nallhw") and (name!="massarr") and (name!="npart") and (name!="npart_tot"):
list_of_arrays.append(name)
return list_of_arrays
def get_list_of_method(self):
"""
Return the list of instance methods (functions).
"""
list_of_instancemethod = []
for name in dir(self):
if type(getattr(self,name)) == types.MethodType:
list_of_instancemethod.append(name)
return list_of_instancemethod
def get_list_of_vars(self):
"""
Get the list of vars that are linked to the model
"""
list_of_allvars = dir(self)
list_of_arrays = self.get_list_of_array()
list_of_method = self.get_list_of_method()
for name in list_of_arrays:
list_of_allvars.remove(name)
for name in list_of_method:
list_of_allvars.remove(name)
#list_of_allvars.remove('log')
#list_of_allvars.remove('read_fcts') # becose these vars are linked to fcts
#list_of_allvars.remove('write_fcts') # should be definitely removed
return list_of_allvars
def has_var(self,name):
'''
Return true if the object pNbody has
a variable called self.name
'''
get_list_of_vars = self.get_list_of_vars()
try:
getattr(self,name)
return True
except AttributeError:
return False
def has_array(self,name):
'''
Return true if the object pNbody has
an array called self.name
'''
list_of_array = self.get_list_of_array()
try:
list_of_array.index(name)
return True
except ValueError:
return False
def find_vars(self):
'''
This function return a list of variables defined in the current object
'''
elts = dir(self)
lst = []
for elt in elts:
exec("obj = self.%s"%(elt))
if type(obj) != types.MethodType:
lst.append(elt)
return lst
#################################
#
# check special values
#
#################################
def check_arrays(self):
'''
check if the array contains special values like NaN or Inf
'''
status = 0
for name in self.get_list_of_array():
vec = getattr(self,name)
# check nan
if isnan(vec).any():
msg = "array %s contains Nan !!!"%name
warnings.warn(msg)
status = 1
# check nan
if isinf(vec).any():
msg = "array %s contains Inf !!!"%name
warnings.warn(msg)
status = 1
return status
#################################
#
# read/write functions
#
#################################
def read(self):
"""
Read the particle file(s)
"""
for i in range(len(self.p_name)):
self.open_and_read(self.p_name[i],self.get_read_fcts()[i])
self.make_default_vars_global()
def open_and_read(self,name,readfct):
'''
open and read file name
name : name of the input
readfct : function used to read the file
'''
# check p_name
if self.pio=='yes' or mpi.mpi_IsMaster():
io.checkfile(name)
# get size
if self.pio=='yes' or mpi.mpi_IsMaster():
isize = os.path.getsize(name)
# open file
if self.pio=='yes' or mpi.mpi_IsMaster():
f = open(name,'r')
else:
f = None
# read the file
readfct(f)
if self.pio=='yes' or mpi.mpi_IsMaster():
fsize = f.tell()
else:
fsize = None
if self.pio=='yes' or mpi.mpi_IsMaster():
if fsize != isize:
raise "ReadError","file %s not red completely"%(name)
# close file
if self.pio=='yes' or mpi.mpi_IsMaster():
f.close()
def get_read_fcts(self):
"""
returns the functions needed to read a snapshot file.
"""
return []
def write(self):
"""
Write the particle file(s)
"""
for i in range(len(self.p_name)):
self.open_and_write(self.p_name[i],self.get_write_fcts()[i])
def open_and_write(self,name,writefct):
"""
Open and write file
name : name of the output
writefct : function used to write the file
"""
if self.pio=='yes' or mpi.mpi_IsMaster():
f = open(name,'w')
else:
f = None
writefct(f)
if self.pio=='yes' or mpi.mpi_IsMaster():
f.close()
def get_write_fcts(self):
"""
returns the functions needed to write a snapshot file.
"""
return []
def write_num(self,name):
"""
Write a num file
name : name of the output
"""
if self.pio =='yes':
f = open("%s.%d"%(name,mpi.ThisTask),'w')
for n in self.num:
f.write('%8i\n'%(n))
f.close()
else:
if mpi.mpi_IsMaster():
f = open(name,'w')
for Task in range(mpi.NTask-1,-1,-1):
if Task != 0:
num = mpi.mpi_recv(source = Task)
for n in num:
f.write('%8i\n'%(n))
else:
for n in self.num:
f.write('%8i\n'%(n))
else:
mpi.mpi_send(self.num, dest = 0)
def read_num(self,name):
"""
Read a num file
name : name of the input
"""
#################################
#
# coordinate transformation
#
#################################
#################################
# positions
#################################
def x(self):
"""
Return a 1xn float array containing x coordinate
"""
return self.pos[:,0]
def y(self):
"""
Return a 1xn float array containing y coordinate
"""
return self.pos[:,1]
def z(self):
"""
Return a 1xn float array containing z coordinate
"""
return self.pos[:,2]
def rxyz(self,center=None):
"""
Return a 1xn float array that corresponds to
the distance from the center of each particle.
"""
if center!=None:
r = sqrt( (self.pos[:,0]-center[0])**2 + (self.pos[:,1]-center[1])**2 + (self.pos[:,2]-center[2])**2 )
else:
r = sqrt( self.pos[:,0]**2 + self.pos[:,1]**2 + self.pos[:,2]**2 )
return r
def phi_xyz(self):
"""
Return a 1xn float array that corresponds to
the azimuth in spherical coordinate of each particle.
"""
r = self.rxyz()
rxy = self.rxy()
xp = self.pos[:,0]*r/rxy # x projection in the plane
yp = self.pos[:,1]*r/rxy # y projection in the plane
p = arctan2(yp,xp)
return p
def theta_xyz(self):
"""
Return a 1xn float array that corresponds to
the elevation angle in spherical coordinate of each particle.
"""
r = self.rxyz()
t = arcsin(self.pos[:,2]/r)
return t
def rxy(self):
"""
Return a 1xn float array that corresponds to
the projected distance from the center of each particle.
"""
r = sqrt( self.pos[:,0]**2 + self.pos[:,1]**2)
return r
def phi_xy(self):
"""
Return a 1xn float array that corresponds to
the azimuth in cylindrical coordinate of each particle.
"""
p = arctan2(self.pos[:,1],self.pos[:,0])
return p
r = rxyz
R = rxy
######################
# spherical coord
######################
def cart2sph(self,pos=None):
"""
Transform carthesian coodinates x,y,z into spherical
coordinates r,p,t
Return a 3xn float array.
"""
if pos!=None:
x = pos[:,0]
y = pos[:,1]
z = pos[:,2]
else:
x = self.pos[:,0]
y = self.pos[:,1]
z = self.pos[:,2]
r = self.rxyz()
rxy = self.rxy()
#xp = x*r/rxy # x projection in the plane
#yp = y*r/rxy # y projection in the plane
#p = arctan2(yp,xp)
#t = arcsin(z/r)
p = arctan2(y,x)
t = arctan2(rxy,z)
return transpose(array([r,p,t])).astype(float32)
def sph2cart(self,pos=None):
"""
Transform spherical coordinates r,p,t into carthesian
coodinates x,y,z
Return a 3xn float array.
"""
if pos!=None:
r = pos[:,0]
p = pos[:,1]
t = pos[:,2]
else:
r = self.pos[:,0]
p = self.pos[:,1]
t = self.pos[:,2]
x = r*sin(t)*cos(p)
y = r*sin(t)*sin(p)
z = r*cos(t)
return transpose(array([x,y,z])).astype(float32)
#################################
# velocities
#################################
def vx(self):
"""
Return a 1xn float array containing x velocity
"""
return self.vel[:,0]
def vy(self):
"""
Return a 1xn float array containing y velocity
"""
return self.vel[:,1]
def vz(self):
"""
Return a 1xn float array containing z velocity
"""
return self.vel[:,2]
def vn(self):
"""
Return a 1xn float array that corresponds to
the norm of velocities
"""
return sqrt(self.vel[:,0]*self.vel[:,0] + self.vel[:,1]*self.vel[:,1] + self.vel[:,2]*self.vel[:,2])
def vrxyz(self):
"""
Return a 1xn float array that corresponds to
the radial velocity in spherical system
"""
r = self.rxyz()
return (self.pos[:,0]*self.vel[:,0] + self.pos[:,1]*self.vel[:,1] + self.pos[:,2]*self.vel[:,2])/r
def Vr(self):
"""
Return the radial velocies of particles
The output is an 3xn float array.
"""
xr = sqrt(self.pos[:,0]**2+self.pos[:,1]**2)
vr = (self.pos[:,0]*self.vel[:,0] + self.pos[:,1]*self.vel[:,1]) / xr
return vr
def Vt(self):
"""
Return the tangential velocies of particles
The output is an 3xn float array.
"""
xr = sqrt(self.pos[:,0]**2+self.pos[:,1]**2)
vt = (self.pos[:,0]*self.vel[:,1] - self.pos[:,1]*self.vel[:,0]) / xr
return vt
def Vz(self):
"""
Return a 1xn float array containing z velocity
"""
return self.vel[:,2]
######################
# cylindrical coord
######################
def vel_cyl2cart(self,pos=None,vel=None):
"""
Transform velocities in cylindrical coordinates vr,vt,vz into carthesian
coodinates vx,vy,vz.
Pos is the position of particles in cart. coord.
Vel is the velocity in cylindrical coord.
Return a 3xn float array.
"""
return vel_cyl2cart(self.pos,self.vel)
def vel_cart2cyl(self):
"""
Transform velocities in carthesian coordinates vx,vy,vz into cylindrical
coodinates vr,vz,vz.
Pos is the position of particles in cart. coord.
Vel is the velocity in cart. coord.
Return a 3xn float array.
"""
return vel_cart2cyl(self.pos,self.vel)
#################################
#
# physical values
#
#################################
def get_ns(self):
"""
Return in an array the number of particles of each node.
"""
ns = mpi.mpi_allgather(self.nbody)
return ns
def get_mass_tot(self):
"""
Return the total mass of system.
"""
mass_tot = mpi.mpi_sum(self.mass)
return mass_tot
def size(self):
"""
Estimate the model size, using the inertial momentum
"""
return max(self.minert())
def cm(self):
"""
Return the mass center of the model.
The output is an 3x1 float array.
"""
mtot = mpi.mpi_sum(self.mass.astype(FLOAT))
cmx = mpi.mpi_sum(self.pos[:,0].astype(float64)*self.mass.astype(FLOAT)) / mtot
cmy = mpi.mpi_sum(self.pos[:,1].astype(float64)*self.mass.astype(FLOAT)) / mtot
cmz = mpi.mpi_sum(self.pos[:,2].astype(float64)*self.mass.astype(FLOAT)) / mtot
return array([cmx,cmy,cmz])
def get_histocenter(self,rbox=50,nb=500):
"""
Return the position of the higher density region
in x,y,z (not good)
found by the function "histocenter".
rbox : size of the box
nb : number of bins in each dimension
"""
rm = rbox/2.
bins = arange(-rm,rm,float(2*rm)/float(nb))
# histograms in x,y,z (cut the tail)
hx = mpi.mpi_histogram(self.pos[:,0],bins)[:-1]
hy = mpi.mpi_histogram(self.pos[:,1],bins)[:-1]
hz = mpi.mpi_histogram(self.pos[:,2],bins)[:-1]
# max in each dim
dx = bins[argmax(hx)]
dy = bins[argmax(hy)]
dz = bins[argmax(hz)]
return array([dx,dy,dz])
def get_histocenter2(self,rbox=50,nb=64):
"""
Return the position of the higher density region
in x,y,z (not good)
found by the function "histocenter".
rbox : size of the box
nb : number of bins in each dimension
"""
# transformation -rbox->0, 0->nb/2, rbox->nb
# y = (x+rbox)/(2*rbox)*nb
pos = ( self.pos + [rbox,rbox,rbox] )/(2*rbox) # 0 to 1
pos = pos*[nb,nb,nb] # 0 to nb
pos = pos.astype(float32)
mass = self.mass.astype(float32)
mat = mkmap3d(pos/nb,mass,mass,(nb,nb,nb))
# find max
m = ravel(mat)
arg = argmax(m)
i = indices((nb,nb,nb)) # not that good
ix = ravel(i[0]) # not that good
iy = ravel(i[1]) # not that good
iz = ravel(i[2]) # not that good
ix = ix[arg]
iy = iy[arg]
iz = iz[arg]
# transformation inverse
# x = 2*rbox*(y/nb)-rbox
dx = 2*rbox*(float(ix)/nb)-rbox
dy = 2*rbox*(float(iy)/nb)-rbox
dz = 2*rbox*(float(iz)/nb)-rbox
return array([dx,dy,dz])
def cv(self):
"""
Return the center of the velocities of the model.
The output is an 3x1 float array.
"""
cmx = mpi.mpi_sum(self.vel[:,0]*self.mass) / self.mass_tot
cmy = mpi.mpi_sum(self.vel[:,1]*self.mass) / self.mass_tot
cmz = mpi.mpi_sum(self.vel[:,2]*self.mass) / self.mass_tot
return array([cmx,cmy,cmz])
def minert(self):
"""
Return the diagonal of the intertial momentum.
"""
mx = mpi.mpi_sum(self.pos[:,0]**2 *self.mass) / self.mass_tot
my = mpi.mpi_sum(self.pos[:,1]**2 *self.mass) / self.mass_tot
mz = mpi.mpi_sum(self.pos[:,2]**2 *self.mass) / self.mass_tot
mx = sqrt(mx)
my = sqrt(my)
mz = sqrt(mz)
return array([mx,my,mz])
def inertial_tensor(self):
"""
Return the inertial tensor.
"""
Ixx = mpi.mpi_sum(self.mass * (self.y()**2 + self.z()**2))
Iyy = mpi.mpi_sum(self.mass * (self.x()**2 + self.z()**2))
Izz = mpi.mpi_sum(self.mass * (self.x()**2 + self.y()**2))
Ixy = -mpi.mpi_sum(self.mass * self.x() * self.y())
Ixz = -mpi.mpi_sum(self.mass * self.x() * self.z())
Iyz = -mpi.mpi_sum(self.mass * self.y() * self.z())
I = array( [[Ixx,Ixy,Ixz],[Ixy,Iyy,Iyz],[Ixz,Iyz,Izz]] )
return I
def x_sigma(self):
"""
Return the norm of the position dispersions.
"""
x = (self.pos - self.cm())
x2 = x[:,0]**2 + x[:,1]**2 + x[:,2]**2
x_s2 = mpi.mpi_sum( x2 *self.mass )/self.mass_tot
x_s = sqrt(x_s2)
return x_s
def v_sigma(self):
"""
Return the norm of the velocity dispersions.
"""
v = (self.vel - self.cv())
v2 = v[:,0]**2 + v[:,1]**2 + v[:,2]**2
v_s2 = mpi.mpi_sum( v2 *self.mass )/self.mass_tot
v_s = sqrt(v_s2)
return v_s
def dx_mean(self):
"""
Return the average distance between particles.
"""
# 1) estimate the size of the system
D = self.x_sigma()
# 2) estimate the # of particules per unit volume
n = self.nbody_tot/D
# 3) estimate the average distance between particules
l = 1./n**(1./3.)
return l
def dv_mean(self):
"""
Return the average relative speed between particles.
"""
# 1) estimate the size of the system
D = self.v_sigma()
# 2) estimate the # of particules per unit volume
n = self.nbody_tot/D
# 3) estimate the average distance between particules
l = 1./n**(1./3.)
return l
def Ekin(self):
"""
Return the total kinetic energy
"""
E = 0.5 * mpi.mpi_sum (self.mass * (self.vel[:,0]**2 + self.vel[:,1]**2 + self.vel[:,2]**2) )
return E
def ekin(self):
"""
Return the total specific kinetic energy
"""
E = 0.5 * mpi.mpi_sum ( (self.vel[:,0]**2 + self.vel[:,1]**2 + self.vel[:,2]**2) )
return E
def Epot(self,eps):
"""
Return the total potential energy using the softening lenght eps.
eps : softening
WARNING : THIS FUNCTION DO NOT WORK IN MPI MODE
"""
E = epot(self.pos,self.mass,eps)
return E
def epot(self,eps):
"""
Return the total specific potential energy using the softening lenght eps.
eps : softening
WARNING : THIS FUNCTION DO NOT WORK IN MPI MODE
"""
e = epot(self.pos,self.mass,eps)/self.mass_tot
return e
def L(self):
"""
Return the angular momentum in x,y,z of all particles.
The output is an 3xn float array.
"""
l = amxyz(self.pos,self.vel,self.mass)
return l
def l(self):
"""
Return the specific angular momentum in x,y,z of all particles.
The output is an 3xn float array.
"""
l = samxyz(self.pos,self.vel,self.mass)
return l
def Ltot(self):
"""
Return the total angular momentum.
The output is an 3x1 float array.
"""
l = mpi.mpi_allreduce (am(self.pos,self.vel,self.mass))
#l = mpi.mpi_sum(self.L())
return l
def ltot(self):
"""
Return the specific total angular momentum.
The output is an 3x1 float array.
"""
l = mpi.mpi_allreduce (am(self.pos,self.vel,self.mass))/self.mass_tot
#l = self.Ltot()/self.mass_tot
return l
def Pot(self,x,eps):
"""
Return the potential at a given position, using the softening lenght eps.
x : position (array vector)
eps : softening
"""
if type(x) == ndarray:
p = zeros(len(x),float32)
for i in range(len(x)):
p[i] = mpi.mpi_allreduce ( potential(self.pos,self.mass,array(x[i],float32),eps) )
else:
p = mpi.mpi_allreduce ( potential(self.pos,self.mass,array(x,float32),eps) )
return p
def TreePot(self,pos,eps,Tree=None):
"""
Return the potential at a given position, using the softening lenght eps
and using a tree.
pos : position (array vector)
eps : softening
Tree: gravitational tree if already computed
WARNING : this function do not work in parallel
"""
if Tree==None:
self.Tree = Tree = self.getTree()
pot = Tree.Potential(pos,eps)
return pot
def Accel(self,x,eps):
"""
Return the acceleration at a given position, using the softening lenght eps.
x : position (array vector)
eps : softening
"""
if type(x) == ndarray:
ax = zeros(len(x),float32)
ay = zeros(len(x),float32)
az = zeros(len(x),float32)
for i in range(len(x)):
ax[i],ay[i],az[i] = acceleration(self.pos,self.mass,array(x[i],float32),eps)
a = transpose(array([ax,ay,az],float32))
else:
ax,ay,az = acceleration(self.pos,self.mass,array(x,float32),eps)
ax = mpi.mpi_allreduce ( ax )
ay = mpi.mpi_allreduce ( ay )
az = mpi.mpi_allreduce ( az )
a = array([ax,ay,az],float32)
return a
def TreeAccel(self,pos,eps,Tree=None):
"""
Return the acceleration at a given position, using the softening lenght eps
and using a tree.
pos : position (array vector)
eps : softening
Tree: gravitational tree if already computed
WARNING : this function do not work in parallel
"""
if Tree==None:
self.Tree = Tree = self.getTree()
acc = Tree.Acceleration(pos,eps)
return acc
def tork(self,acc):
"""
Return the total tork on the system due to the force
acting on each particle (acc).
The output is an 3xn float array.
acc : 3xn float array
"""
trk = mpi.mpi_allreduce ( am(self.pos,array(acc,float32),self.mass) )
return trk
def dens(self,r=None,nb=25,rm=50):
"""
Return the number density at radius r (supposing a spherical density distribution).
If r is not specified, it is computed with nb and rm.
The output is an n x 1 float array.
!!! This routine do not use masses !!!
r : radius
nb : number of bins (size of the output)
rm : maximal radius
"""
if r!= None:
r = array(r,float)
else:
rmax = rm
dr = rm/float(nb)
r = arange(0.,rm,dr)
xr = sqrt(self.pos[:,0]**2 + self.pos[:,1]**2 + self.pos[:,2]**2)
dens,r = histogram(xr,r)
r1 = r[:-1]
r2 = r[1:]
dv = (4./3.)*pi*(r2**3-r1**3)
dens = dens/dv # surface density
# take the mean
r = (r1+r2)/2
return r,mpi.mpi_allreduce(dens)
def mdens(self,r=None,nb=25,rm=50):
"""
Return the density at radius r (supposing a spherical density distribution).
If r is not specified, it is computed with nb and rm.
The output is an n x 1 float array.
r : radius
nb : number of bins (size of the output)
rm : maximal radius
"""
if r!= None:
r = array(r,float)
else:
rmax = rm
dr = rm/float(nb)
r = arange(0.,rm,dr)
xr = sqrt(self.pos[:,0]**2 + self.pos[:,1]**2 + self.pos[:,2]**2)
dens = whistogram(xr.astype(float),self.mass.astype(float),r.astype(float))
r1 = r[:-1]
r2 = r[1:]
dv = (4./3.)*pi*(r2**3-r1**3)
dens = dens[:-1]/dv # surface density
# take the mean
r = (r1+r2)/2
return r,mpi.mpi_allreduce(dens)
def mr(self,r=None,nb=25,rm=50):
"""
Return the mass inside radius r (supposing a spherical density distribution).
If r is not specified, it is computed with nb and rm.
The output is an n x 1 float array.
r : radius
nb : number of bins (size of the output)
rm : maximal radius
"""
if r!= None:
r = array(r,float)
else:
rmax = rm
dr = rm/float(nb)
r = arange(0.,rm,dr)
xr = self.rxyz()
mr = whistogram(xr.astype(float),self.mass.astype(float),r.astype(float))
mr = add.accumulate(mr)
return r,mpi.mpi_allreduce(mr)
def Mr_Spherical(self,nr=25,rmin=0,rmax=50):
"""
Return the mass inside radius r (supposing a spherical density distribution).
The output is 2 n x 1 float arrays.
nr : number of bins (size of the output)
rmin : minimal radius (this must be zero, instead it is wrong...)
rmax : maximal radius
"""
rmin = float(rmin)
rmax = float(rmax)
shape = (nr,)
val = ones(self.pos.shape).astype(float32)
mass = self.mass.astype(float32)
r = self.rxyz()
r = (r-rmin)/(rmax-rmin)
r = r.astype(float32)
# compute the map
mr = mkmap1d(r,mass,val,shape).astype(float)
# compute the radii
rs = arange(0.,rmax,(rmax-rmin)/nr)
# sum
mr = add.accumulate(mr)
return rs,mpi.mpi_allreduce(mr)
def sdens(self,r=None,nb=25,rm=50):
"""
Return the surface density at radius r.
If r is not specified, it is computed with nb and rm.
The output is an nx1 float array.
!!! This routine do not uses masses !!!
r : radius
nb : number of bins (size of the output)
rm : maximal radius
"""
if r!= None:
r = array(r,float)
else:
rmax = rm
dr = rm/float(nb)
r = arange(0.,rm,dr)
xr = sqrt(self.pos[:,0]**2 + self.pos[:,1]**2)
sdens,r = histogram(xr,r)
r1 = r[:-1]
r2 = r[1:]
ds = pi*(r2**2-r1**2)
sdens = sdens/ds # surface density
# take the mean
r = (r1+r2)/2.
return r,mpi.mpi_allreduce(sdens)
def msdens(self,r=None,nb=25,rm=50):
"""
Return the mass surface density at radius r.
If r is not specified, it is computed with nb and rm.
The output is an nx1 float array.
r : radius
nb : number of bins (size of the output)
rm : maximal radius
"""
if r!= None:
r = array(r,float)
else:
rmax = rm
dr = rm/float(nb)
r = arange(0.,rm,dr)
xr = sqrt(self.pos[:,0]**2 + self.pos[:,1]**2)
sdens = whistogram(xr.astype(float),self.mass.astype(float),r.astype(float))
r1 = r[:-1]
r2 = r[1:]
ds = pi*(r2**2-r1**2)
sdens = sdens[:-1]/ds # surface density
# take the mean
r = (r1+r2)/2.
return r,mpi.mpi_allreduce(sdens)
def sigma_z(self,r=None,nb=25,rm=50):
"""
Return the vertical dispertion in z at radius r.
If r is not specified, it is computed with nb and rm.
The output is an nx1 float array.
r : radius
nb : number of bins (size of the output)
rm : maximal radius
"""
if r!= None:
r = array(r,float)
else:
rmax = rm
dr = rm/float(nb)
r = arange(0.,rm,dr)
r,h = self.Histo(r,mode='sz')
return r,h
def sigma_vz(self,r=None,nb=25,rm=50):
"""
Return the vertical dispertion in z at radius r.
If r is not specified, it is computed with nb and rm.
The output is an nx1 float array.
r : radius
nb : number of bins (size of the output)
rm : maximal radius
"""
if r!= None:
r = array(r,float)
else:
rmax = rm
dr = rm/float(nb)
r = arange(0.,rm,dr)
r,h = self.Histo(r,mode='svz')
return r,h
def zprof(self,z=None,r=2.5,dr=0.5,nb=25,zm=5.):
"""
Return the z-profile in a vector for a given radius
!!! This routine works only if particles have equal masses !!!
z : bins in z (optional)
r : radius of the cut
dr : width in r of the cut
nb : number of bins (size of the output)
zm : maximal height
"""
if z!= None:
pass
else:
zmax = zm
dz = 2.*zm/float(nb)
z = arange(-zm,zm,dz)
# select
r1 = r-dr/2.
r2 = r+dr/2.
ann = self.selectc((self.rxy()>r1)*((self.rxy()r1[i])*((self.rxy() 1:
sr.append(vr.std())
st.append(vt.std())
sz.append(vz.std())
mt.append(vt.mean())
else:
sr.append(0.)
st.append(0.)
sz.append(0.)
mt.append(0.)
sr = array(sr,float)
st = array(st,float)
sz = array(sz,float)
mt = array(mt,float)
return r,sr,st,sz,mt
def histovel(self,nb=100,vmin=None,vmax=None,mode='n'):
"""
Return or plot the histrogram of the norm of velocities or of the radial velocities.
The output is a list (r,h) of 2 nx1 float arrays,
where r is the radius and h the values of the histogram.
nb : number of bins (size of the output)
vmax : maximum velocity
vmin : minimum velocity
mode : 'n' (norme of the velocities)
'r' (radial velocities)
"""
if mode == 'r':
v = (self.pos[:,0]*self.vel[:,0] + self.pos[:,1]*self.vel[:,1]) / sqrt(self.pos[:,0]**2+self.pos[:,1]**2)
elif mode == 'n':
v = sqrt(self.vel[:,0]**2 + self.vel[:,1]**2 + self.vel[:,2]**2)
if vmax == None : vmax = mpi.mpi_max(v)
if vmin == None : vmin = mpi.mpi_min(v)
bins = arange(vmin,vmax,(vmax-vmin)/float(nb))
h = mpi.mpi_histogram(v,bins)
return h,bins
def zmodes(self,nr=32,nm=16,rm=32):
"""
Compute the vertical modes of a model
nm = 16 : number of modes
nr = 32 : number of radius
rm = 50 : max radius
return
r : the radius used
m : the modes computed
m1 : the matrix of the amplitude
m2 : the matrix of the phases
"""
ps = arange(-pi,pi+pi/(2.*nm),2*pi/(2.*nm))+pi # phases
R = arange(0,nr+1,1)*float(rm)/nr # radius
Rs = array([],float)
r = self.rxy()
m1 = array([],float)
m2 = array([],float)
# loop over all radius
for i in range(len(R)-1):
c = (r>=R[i])*(r<=R[i+1])
an = self.selectc(c)
if sum(c.astype(int))<=1:
#print "less than 1 particle in the coupe",R[i]
amp = zeros(len(ps)/2).astype(float)
m1 = concatenate((m1,amp))
m2 = concatenate((m2,amp))
continue
x = an.pos[:,0]
y = an.pos[:,1]
z = an.pos[:,2]
t = arctan2(y,x)+pi
zm = []
ok = 0
for j in range(len(ps)-1):
c = (t>=ps[j])*(t=R[i])*(r<=R[i+1])
an = self.selectc(c)
if sum(c.astype(int))<=1:
#print "less than 1 particle in the coupe",R[i]
amp = zeros(len(ps)/2).astype(float)
m1 = concatenate((m1,amp))
m2 = concatenate((m2,amp))
continue
x = an.pos[:,0]
y = an.pos[:,1]
z = an.pos[:,2]
t = arctan2(y,x)+pi
dm = []
ok = 0
for j in range(len(ps)-1):
c = (t>=ps[j])*(t [0,boxsize]
centred : -> [-boxsize/2,boxsize/2]
[x,y,z] :
"""
if boxsize==None:
if self.has_var('boxsize'):
boxsize = self.boxsize
if boxsize != None:
if mode == None:
if string.find(axis,'x')!=-1:
self.pos[:,0] = where((self.pos[:,0]<0.0 ),self.pos[:,0]+boxsize,self.pos[:,0])
if string.find(axis,'y')!=-1:
self.pos[:,1] = where((self.pos[:,1]<0.0 ),self.pos[:,1]+boxsize,self.pos[:,1])
if string.find(axis,'z')!=-1:
self.pos[:,2] = where((self.pos[:,2]<0.0 ),self.pos[:,2]+boxsize,self.pos[:,2])
if string.find(axis,'x')!=-1:
self.pos[:,0] = where((self.pos[:,0]>boxsize),self.pos[:,0]-boxsize,self.pos[:,0])
if string.find(axis,'y')!=-1:
self.pos[:,1] = where((self.pos[:,1]>boxsize),self.pos[:,1]-boxsize,self.pos[:,1])
if string.find(axis,'z')!=-1:
self.pos[:,2] = where((self.pos[:,2]>boxsize),self.pos[:,2]-boxsize,self.pos[:,2])
elif mode=='centred':
if string.find(axis,'x')!=-1:
self.pos[:,0] = where((self.pos[:,0]<=-boxsize/2.),self.pos[:,0]+boxsize,self.pos[:,0])
if string.find(axis,'y')!=-1:
self.pos[:,1] = where((self.pos[:,1]<=-boxsize/2.),self.pos[:,1]+boxsize,self.pos[:,1])
if string.find(axis,'z')!=-1:
self.pos[:,2] = where((self.pos[:,2]<=-boxsize/2.),self.pos[:,2]+boxsize,self.pos[:,2])
if string.find(axis,'x')!=-1:
self.pos[:,0] = where((self.pos[:,0]> boxsize/2.),self.pos[:,0]-boxsize,self.pos[:,0])
if string.find(axis,'y')!=-1:
self.pos[:,1] = where((self.pos[:,1]> boxsize/2.),self.pos[:,1]-boxsize,self.pos[:,1])
if string.find(axis,'z')!=-1:
self.pos[:,2] = where((self.pos[:,2]> boxsize/2.),self.pos[:,2]-boxsize,self.pos[:,2])
elif (type(mode)==ndarray) or (type(mode)==types.ListType):
if string.find(axis,'x')!=-1:
self.pos[:,0] = where((self.pos[:,0]<=mode[0]-boxsize/2.),self.pos[:,0]+boxsize,self.pos[:,0])
if string.find(axis,'y')!=-1:
self.pos[:,1] = where((self.pos[:,1]<=mode[1]-boxsize/2.),self.pos[:,1]+boxsize,self.pos[:,1])
if string.find(axis,'z')!=-1:
self.pos[:,2] = where((self.pos[:,2]<=mode[2]-boxsize/2.),self.pos[:,2]+boxsize,self.pos[:,2])
if string.find(axis,'x')!=-1:
self.pos[:,0] = where((self.pos[:,0]> mode[0]+boxsize/2.),self.pos[:,0]-boxsize,self.pos[:,0])
if string.find(axis,'y')!=-1:
self.pos[:,1] = where((self.pos[:,1]> mode[1]+boxsize/2.),self.pos[:,1]-boxsize,self.pos[:,1])
if string.find(axis,'z')!=-1:
self.pos[:,2] = where((self.pos[:,2]> mode[2]+boxsize/2.),self.pos[:,2]-boxsize,self.pos[:,2])
def rotate_old(self,angle=0,mode='a',axis='x'):
"""
Rotate the positions and/or the velocities of the object around a specific axis.
angle : rotation angle in radian
axis : 'x' : around x
'y' : around y
'z' : around z
: [x,y,z] : around this axis
mode : 'p' : rotate only position
'v' : rotate only velocities
'a' : rotate both (default)
"""
if type(axis) == type('a'): # rotate around x,y or z
if axis =='x':
if mode=='p' or mode=='a':
self.pos=rotx(angle,self.pos)
if mode=='v' or mode=='a':
self.vel=rotx(angle,self.vel)
elif axis =='y':
if mode=='p' or mode=='a':
self.pos=roty(angle,self.pos)
if mode=='v' or mode=='a':
self.vel=roty(angle,self.vel)
elif axis =='z':
if mode=='p' or mode=='a':
self.pos=rotz(angle,self.pos)
if mode=='v' or mode=='a':
self.vel=rotz(angle,self.vel)
else: # rotate around a given axis
# construction of the rotation matrix
nxy = sqrt(axis[0]**2+axis[1]**2)
theta_x = angle
theta_z = 2.*pi - arctan2(axis[1],axis[0])
theta_y = arctan2(axis[2],nxy)
if mode=='p' or mode=='a':
# rot in z
self.pos=rotz(theta_z,self.pos)
# rot in y
self.pos=roty(theta_y,self.pos)
# rot in x
self.pos=rotx(theta_x,self.pos)
# rot in -y
self.pos=roty(-theta_y,self.pos)
# rot in -z
self.pos=rotz(-theta_z,self.pos)
if mode=='v' or mode=='a':
# rot in z
self.vel=rotz(theta_z,self.vel)
# rot in y
self.vel=roty(theta_y,self.vel)
# rot in x
self.vel=rotx(theta_x,self.vel)
# rot in -y
self.vel=roty(-theta_y,self.vel)
# rot in -z
self.vel=rotz(-theta_z,self.vel)
def rotate(self,angle=0,axis=[1,0,0],point=[0,0,0],mode='a'):
"""
Rotate the positions and/or the velocities of the object around a specific axis
defined by a vector and an point.
angle : rotation angle in radian
axis : direction of the axis
point : center of the rotation
mode : 'p' : rotate only position
'v' : rotate only velocities
'a' : rotate both (default)
"""
if axis=='x':
axis = array([1,0,0],float)
elif axis=='y':
axis = array([0,1,0],float)
elif axis=='z':
axis = array([0,0,1],float)
x = self.pos
v = self.vel
# center point
x = x-point
# construction of the rotation matrix
norm = sqrt(axis[0]**2 + axis[1]**2 + axis[2]**2)
if norm == 0:
return x
sn = sin(-angle/2.)
e0 = cos(-angle/2.)
e1 = axis[0]*sn/norm
e2 = axis[1]*sn/norm
e3 = axis[2]*sn/norm
a = zeros((3,3),float)
a[0,0] = e0**2 + e1**2 - e2**2 - e3**2
a[1,0] = 2.*(e1*e2 + e0*e3)
a[2,0] = 2.*(e1*e3 - e0*e2)
a[0,1] = 2.*(e1*e2 - e0*e3)
a[1,1] = e0**2 - e1**2 + e2**2 - e3**2
a[2,1] = 2.*(e2*e3 + e0*e1)
a[0,2] = 2.*(e1*e3 + e0*e2)
a[1,2] = 2.*(e2*e3 - e0*e1)
a[2,2] = e0**2 - e1**2 - e2**2 + e3**2
a = a.astype(float)
# multiply x and v
if mode=='p':
x = dot(x,a)
elif mode=='v':
v = dot(v,a)
else:
x = dot(x,a)
v = dot(v,a)
# decenter point
x = x+point
self.pos = x.astype(float32)
self.vel = v.astype(float32)
def rotateR(self,R,mode='a'):
"""
Rotate the model using the matrix R
mode : 'p' : only position
'v' : only velocities
'a' : both (default)
"""
# multiply x and v
if mode=='p':
self.pos = dot(self.pos,R)
elif mode=='v':
self.vel = dot(self.vel,R)
else:
self.pos = dot(self.pos,R)
self.vel = dot(self.vel,R)
def get_rotation_matrix_to_align_with_main_axis(self):
"""
Get the rotation matrix used to rotate the object in order to align
it's main axis with the axis of its inertial tensor.
"""
# compute inertial tensor
I = self.inertial_tensor()
# find eigen values and vectors
val,vec =linalg.eig(I)
l1 = val[0]
l2 = val[1]
l3 = val[2]
a1 = vec[:,0]
a2 = vec[:,1]
a3 = vec[:,2]
# find Rm such that Rm*1,0,0 = a1
# that Rm*0,1,0 = a2
# that Rm*0,0,1 = a3
Rm = transpose(array([a1,a2,a3]))
return Rm
def align_with_main_axis(self,mode='a'):
"""
Rotate the object in order to align it's major axis with
the axis of its inertial tensor.
mode : 'p' : only position
'v' : only velocities
'a' : both (default)
"""
# find rotation matrix
R = self.get_rotation_matrix_to_align_with_main_axis()
# apply it
self.rotateR(R,mode)
def align(self,axis,mode='a',sgn='+',fact=None):
"""
Rotate the object in order to align the axis 'axis' with the z axis.
axis : [x,y,z]
mode : 'p' : only position
'v' : only velocities
'a' : both (default)
sgn : '+' : normal rotation
'-' : reverse sense of rotation
fact : int : factor to increase the angle
"""
n = [axis[1], -axis[0],0.]
theta = arccos(axis[2]/sqrt(axis[0]**2+axis[1]**2+axis[2]**2))
if sgn =='-': theta = -theta
if fact != None: theta = theta*fact
self.rotate(angle=theta,mode=mode,axis=n)
def align2(self,axis1=[1,0,0],axis2=[0,0,1],point=[0,0,0]):
'''
Rotate the object in order to align the axis 'axis' with the z axis.
axis1 : [x,y,z]
axis2 : [x,y,z]
point : [x,y,z]
'''
a1 = array(axis1,float)
a2 = array(axis2,float)
a3 = array([0,0,0],float)
a3[0] = a1[1]*a2[2] - a1[2]*a2[1]
a3[1] = a1[2]*a2[0] - a1[0]*a2[2]
a3[2] = a1[0]*a2[1] - a1[1]*a2[0]
n1 = sqrt(a1[0]**2 + a1[1]**2 + a1[2]**2)
n2 = sqrt(a2[0]**2 + a2[1]**2 + a2[2]**2)
angle = arccos(inner(a1,a2)/(n1*n2))
self.rotate(angle=angle,axis=a3,point=point)
def spin(self,omega=None,L=None,j=None,E=None):
"""
Spin the object with angular velocity "omega" (rigid rotation).
Omega is a 1 x 3 array object
If L (total angular momentum) is explicitely given, compute Omega from L (1 x 3 array object).
omega : angular speed (array vector)
L : desired angular momentum
j : desired energy fraction in rotation
E : Total energy (without rotation)
"""
# do nothing
if L==None and omega==None and j==None:
pass
# use j and E (spin around z axis)
if j!=None:
if E==None:
"spin : print you must give E"
else:
if (j > 1):
self.log.write("spin : j must be less than 1")
sys.exit()
Erot = j*E/(1-j)
omega = sqrt(2*Erot/mpi_sum(self.mass*self.rxy()**2) )
omega = array([0,0,omega],float32)
self.vel=spin(self.pos,self.vel,omega)
# use omega
elif L==None and omega!=None:
omega = array(omega,float32)
self.vel=spin(self.pos,self.vel,omega)
# use L
# Pfenniger 93
elif L!=None:
L = array(L,float32)
aamx = L[0]
aamy = L[1]
aamz = L[2]
x = self.pos[:,0]
y = self.pos[:,1]
z = self.pos[:,2]
vx = self.vel[:,0]
vy = self.vel[:,1]
vz = self.vel[:,2]
m = self.mass
Ixy = sum(m*x*y)
Iyz = sum(m*y*z)
Izx = sum(m*z*x)
Ixx = sum(m*x*x)
Iyy = sum(m*y*y)
Izz = sum(m*z*z)
Axx = Iyy+Izz
Ayy = Izz+Ixx
Azz = Ixx+Iyy
Axy = -Ixy
Ayz = -Iyz
Azx = -Izx
D = Axx*Ayy*Azz + 2*Axy*Ayz*Azx - Axx*Ayz**2 - Ayy*Azx**2 - Azz*Axy**2
DLX = sum(m*(y*vz-z*vy))-aamx
DLY = sum(m*(z*vx-x*vz))-aamy
DLZ = sum(m*(x*vy-y*vx))-aamz
Bxx = Ayy*Azz - Ayz**2
Byy = Azz*Axx - Azx**2
Bzz = Axx*Ayy - Axy**2
Bxy = Azx*Ayz - Axy*Azz
Byz = Axy*Azx - Ayz*Axx
Bzx = Ayz*Axy - Azx*Ayy
omega = array([0,0,0],float32)
omega[0] = -(Bxx*DLX + Bxy*DLY + Bzx*DLZ)/D
omega[1] = -(Bxy*DLX + Byy*DLY + Byz*DLZ)/D
omega[2] = -(Bzx*DLX + Byz*DLY + Bzz*DLZ)/D
self.vel=spin(self.pos,self.vel,omega)
#################################
#
# selection of particles
#
#################################
def selectc(self,c,local=False):
"""
Return an N-body object that contain only particles where the
corresponding value in c is not zero.
c is a nx1 Nbody array.
c : the condition vector
local : local selection (True) or global selection (False)
"""
new = Nbody(status='new',ftype=self.ftype[6:],local=local)
# now, copy all var linked to the model
for name in self.get_list_of_vars():
setattr(new, name, getattr(self,name))
# here, we create ptype on the fly (used to create new.npart)
#self.ptype = array([],int)
#for i in range(len(self.npart)):
# self.ptype = concatenate( (self.ptype,ones(self.npart[i])*i) )
# now, copy and compress all array linked to the model
for name in self.get_list_of_array():
vec = getattr(self,name)
setattr(new, name, compress(c,vec,axis=0))
# now, compute new.npart
#new.npart = array([],int)
#for i in range(len(self.npart)):
# c = (new.tpe==i)
# npart_i = sum(c.astype(int))
# new.npart = concatenate( (new.npart, npart_i ) )
# check
#if len(new.pos)!= sum(new.npart):
# pass
# other vars
new.init()
return new
def selecti(self,i,local=False):
"""
Return an N-body object that contain only particles having
their index (not id) in i.
i : vector containing indexes
local : local selection (True) or global selection (False)
"""
new = Nbody(status='new',ftype=self.ftype[6:],local=local)
# now, copy all var linked to the model
for name in self.get_list_of_vars():
setattr(new, name, getattr(self,name))
# here, we create ptype on the fly (used to create new.npart)
#self.ptype = array([],int)
#for i in range(len(self.npart)):
# self.ptype = concatenate( (self.ptype,ones(self.npart[i])*i) )
# now, copy and compress all array linked to the model
for name in self.get_list_of_array():
vec = getattr(self,name)
setattr(new, name, vec[i])
# now, compute new.npart
#new.npart = array([],int)
#for i in range(len(self.npart)):
# c = (new.tpe==i)
# npart_i = sum(c.astype(int))
# new.npart = concatenate( (new.npart, npart_i ) )
# check
#if len(new.pos)!= sum(new.npart):
# pass
# other vars
new.init()
return new
def select(self,i=0):
"""
Return an N-body object that contain only particles of type i
"""
import types
if type(i)== int:
return self.selectc(self.tpe==i)
elif type(i)==types.ListType:
types = i
for j in types:
c = c * (j==self.tpe)
return self.selectc(c)
else:
return self
def sub(self,n1=0,n2=None):
"""
Return an N-body object that have particles whith indicies in the range [n1:n2].
n1 : number of the first particule
n2 : number of the last particule
Note : the first particle is 0
"""
if n1 == None:
n1 = 0
if n2 == None:
n2 = self.nbody
if n2 <= n1:
n2 = n1+1
num = arange(self.nbody)
return self.selectc((num>=n1)*(num<=n2))
def reduc(self,n,mass=False):
"""
Return an N-body object that contain a fraction 1/n of particles.
n : inverse of the fraction of particule to be returned
"""
c = where(fmod(arange(self.nbody),n).astype(int)==0,1,0)
nb = self.selectc(c)
if mass:
nb.mass = nb.mass * n
return nb
def selectp(self,lst=None,file=None,reject=False,local=False,from_num=True):
"""
Return an N-body object that contain only particles with specific number id.
The list of id's is given either by lst (nx1 int array) or
by the name ("file") of a file containing the list of id's.
lst : vector list (integer)
reject : True/False : if True, reject particles in lst (default = False)
local : local selection (True) or global selection (False)
frum_num : if True, use self.num to select particules
if False, use arange(self.nbody)
"""
if lst != None:
lst = array(lst,int)
if file != None:
lst = []
f = open(file)
while 1:
try:
lst.append(int(string.split(f.readline())[0]))
except:
break
f.close()
lst = array(lst,int)
# 1) sort the list
ys = sort(lst)
# 2) sort index in current file
if from_num:
xs = sort(self.num)
zs = take(arange(self.nbody),argsort(self.num)) # sort 0,1,2,n following xs (or self.num)
else:
xs = arange(self.nbody)
# 3) apply mask on sorted lists (here, getmask need xs and ys to be sorted)
m = getmask(xs.astype(int),ys.astype(int))
if reject:
m = logical_not(m)
# 4) revert mask, following zs inverse transformation
if from_num:
c = take(m,argsort(zs))
else:
c = m
new = self.selectc(c,local=local)
return new
def getindex(self,num):
"""
Return an array of index of a particle from its specific number id.
The array is empty if no particle corresponds to the specific number id.
num : Id of the particle
"""
idx = compress((self.num == num),arange(self.nbody))
if len(idx)==1:
return idx[0]
else:
return idx
#################################
#
# add particles
#
#################################
- def append(self,solf,do_not_sort=False):
+ def append(self,solf,do_not_sort=False,do_init_num=True):
"""
Add to the current N-body object, particles form the
N-body object "new".
solf : Nbody object
"""
if solf.ftype != self.ftype:
raise "append Error","files have different type"
return
if solf.get_list_of_array() != self.get_list_of_array():
raise "append Error","files have different arrays"
return
# loop over all types
self_npart = self.npart
solf_npart = solf.npart
if len(self_npart) != len(self_npart):
print "append : files have different mxnpart !"
sys.exit()
# add array linked to the model
names = self.get_list_of_array()
for name in names:
vec1 = getattr(self,name)
vec2 = getattr(solf,name)
'''
vec = array([],float32)
if vec1.ndim == 1:
vec.shape = (0,)
else:
vec.shape = (0,3)
# here, we guarantee the order of particles according to npart
for i in arange(len(self_npart)):
e11 = sum((arange(len(self_npart)) < i) * self_npart,0)
e21 = sum((arange(len(solf_npart)) < i) * solf_npart,0)
vec = concatenate((vec,vec1[e11:e11+self_npart[i]],vec2[e21:e21+solf_npart[i]]))
'''
vec = concatenate((vec1,vec2))
setattr(self, name, vec)
# here, we sort the particles, according to tpe
if do_not_sort:
pass
else:
sequence = self.tpe.argsort()
for name in names:
vec = getattr(self,name)
vec = take(vec,sequence,axis=0)
setattr(self, name, vec)
self.nbody = self.nbody + solf.nbody
self.npart = self.get_npart() # needed by self.get_num()
self.npart_tot = self.get_npart_tot() # needed by self.get_num()
- self.num = self.get_num()
+ if do_init_num:
+ self.num = self.get_num()
self.init()
def __add__(self,solf,do_not_sort=False):
# first copy self
new = deepcopy(self)
# now, add solf
new.append(solf,do_not_sort)
return new
#################################
#
# sort particles
#
#################################
- def sort(self):
+ def sort(self,vec=None):
'''
- sort particles according to their num variable
+ sort particles according to the vector vec
+
+ vec : vector on which to sort (default=self.num)
'''
new = Nbody(status='new',ftype=self.ftype[6:])
+
+ if vec==None:
+ vec = self.num
- sequence = argsort(self.num)
+ sequence = argsort(vec)
# now, copy all var linked to the model
for name in self.get_list_of_vars():
setattr(new, name, getattr(self,name))
# add array linked to the model
for name in self.get_list_of_array():
setattr(new, name, take(getattr(self,name),sequence,axis=0))
- new.num = new.get_num()
+ #new.num = new.get_num()
new.init()
return new
def sort_type(self):
'''
Contrary to sort, this fonction sort particles
respecting their type.
'''
new = Nbody(status='new',ftype=self.ftype[6:])
# now, copy all var linked to the model
for name in self.get_list_of_vars():
setattr(new, name, getattr(self,name))
# add array linked to the model
for name in self.get_list_of_array():
#vec = take(getattr(self,name),sequence,axis=0)
vec = array([],float32)
vec1 = getattr(self,name)
if vec1.ndim == 1:
vec.shape = (0,)
else:
vec.shape = (0,3)
# loop over all types
npart = self.npart
for i in arange(len(npart)):
e11 = sum((arange(len(npart)) < i) * npart)
sequence = argsort(self.num[e11:e11+npart[i]])
vec = concatenate((vec,take(vec1[e11:e11+npart[i]],sequence,axis=0)))
setattr(new, name, vec)
new.num = new.get_num()
new.init()
return new
#################################
#
# Tree and SPH functions
#
#################################
def InitSphParameters(self,DesNumNgb=33,MaxNumNgbDeviation=3):
self.DesNumNgb = DesNumNgb
self.MaxNumNgbDeviation = MaxNumNgbDeviation
self.Density = None
self.Hsml = None
if not self.has_var('Tree'):
self.Tree = None
def setTreeParameters(self,Tree,DesNumNgb,MaxNumNgbDeviation):
if Tree==None:
self.Tree = Tree = self.getTree()
if DesNumNgb==None:
DesNumNgb = self.DesNumNgb
else:
self.DesNumNgb = DesNumNgb
if MaxNumNgbDeviation==None:
MaxNumNgbDeviation = self.MaxNumNgbDeviation
else:
self.MaxNumNgbDeviation = MaxNumNgbDeviation
return Tree,DesNumNgb,MaxNumNgbDeviation
def getTree(self,force_computation=False,ErrTolTheta=0.8):
'''
Return a Tree object
'''
if self.Tree!=None and force_computation==False:
return self.Tree
else:
print "create the tree : ErrTolTheta=",ErrTolTheta
# decide if we use tree or ptree
npart = array(self.npart)
if mpi.mpi_NTask()>1:
print "%d : use ptree"%(mpi.mpi_ThisTask())
self.Tree = ptreelib.Tree(npart=npart,pos=self.pos,vel=self.vel,mass=self.mass,num=self.num,tpe=self.tpe)
else:
self.Tree = treelib.Tree(npart=npart,pos=self.pos,vel=self.vel,mass=self.mass,ErrTolTheta=ErrTolTheta)
return self.Tree
def get_rsp_approximation(self,DesNumNgb=None,MaxNumNgbDeviation=None,Tree=None):
'''
Return an aproximation of rsp, based on the tree.
'''
Tree,DesNumNgb,MaxNumNgbDeviation = self.setTreeParameters(Tree,DesNumNgb,MaxNumNgbDeviation)
return Tree.InitHsml(DesNumNgb,MaxNumNgbDeviation)
def ComputeSph(self,DesNumNgb=None,MaxNumNgbDeviation=None,Tree=None):
'''
Compute self.Density and self.Hsml using sph approximation
'''
Tree,DesNumNgb,MaxNumNgbDeviation = self.setTreeParameters(Tree,DesNumNgb,MaxNumNgbDeviation)
if self.Hsml==None:
if not self.has_array('rsp'):
self.Hsml = self.get_rsp_approximation(DesNumNgb,MaxNumNgbDeviation,Tree)
else:
self.Hsml=self.rsp
self.Density,self.Hsml = Tree.Density(self.pos,self.Hsml,DesNumNgb,MaxNumNgbDeviation)
def ComputeDensityAndHsml(self,pos=None,Hsml=None,DesNumNgb=None,MaxNumNgbDeviation=None,Tree=None):
'''
Compute Density and Hsml (for a specific place)
'''
Tree,DesNumNgb,MaxNumNgbDeviation = self.setTreeParameters(Tree,DesNumNgb,MaxNumNgbDeviation)
if pos==None:
pos = self.pos
if Hsml==None:
Hsml = ones(len(pos)).astype(float32)
Density,Hsml = Tree.Density(pos,Hsml,DesNumNgb,MaxNumNgbDeviation)
return Density,Hsml
def SphEvaluate(self,val,pos=None,vel=None,hsml=None,DesNumNgb=None,MaxNumNgbDeviation=None,Tree=None):
'''
Return an sph evaluation of the variable var
'''
Tree,DesNumNgb,MaxNumNgbDeviation = self.setTreeParameters(Tree,DesNumNgb,MaxNumNgbDeviation)
if pos == None:
pos = self.pos
if vel == None:
vel = self.vel
if hsml == None:
if self.Hsml==None:
if not self.has_array('rsp'):
self.Hsml = self.get_rsp_approximation(DesNumNgb,MaxNumNgbDeviation,Tree)
else:
self.Hsml=self.rsp
hsml = self.Hsml
if self.Density==None:
if not self.has_array('rho'):
self.Density = self.SphDensity(DesNumNgb,MaxNumNgbDeviation,Tree)
else:
self.Density=self.rho
if type(val) == ndarray:
val = Tree.SphEvaluate(pos,hsml,self.Density,val,DesNumNgb,MaxNumNgbDeviation)
else:
if val =='div':
val = Tree.SphEvaluateDiv(pos,vel,hsml,self.Density,DesNumNgb,MaxNumNgbDeviation)
elif val =='rot':
val = Tree.SphEvaluateRot(pos,vel,hsml,self.Density,DesNumNgb,MaxNumNgbDeviation)
elif val =='ngb':
val = Tree.SphEvaluateNgb(pos,hsml,DesNumNgb,MaxNumNgbDeviation)
return val
#################################
#
# sph functions
#
#################################
def weighted_numngb(self,num):
'''
num = particle where to compute weighted_numngb
see Springel 05
'''
def wk1(hinv3,u):
KERNEL_COEFF_1=2.546479089470
KERNEL_COEFF_2=15.278874536822
wk = hinv3 * (KERNEL_COEFF_1 + KERNEL_COEFF_2 * (u - 1) * u * u)
return wk
def wk2(hinv3,u):
KERNEL_COEFF_5=5.092958178941
wk = hinv3 * KERNEL_COEFF_5 * (1.0 - u) * (1.0 - u) * (1.0 - u)
return wk
def getwk(r,h):
# we do not exclude the particle itself
u = r/h
hinv3 = 1./h**3
wk = where((u<0.5),wk1(hinv3,u),wk2(hinv3,u))
wk = where((r1:
list_of_array = self.get_list_of_array()
# loop over all particles type
npart = self.npart
new_npart = npart
for i in range(len(npart)):
#if i==0:
nparts = mpi.mpi_allgather(npart[i])
nparts = array(nparts)
if mpi.mpi_IsMaster():
ex_table = mpi.mpi_GetExchangeTable(nparts)
ex_table = mpi.mpi_bcast(ex_table,0)
else:
ex_table = None
ex_table = mpi.mpi_bcast(ex_table,0)
# send particles
for toTask in range(mpi.NTask):
if ex_table[mpi.ThisTask,toTask] > 0:
n_elt = ex_table[mpi.ThisTask,toTask]
#print "%d send %d to %d"%(mpi.ThisTask,n_elt,toTask)
# first_elt = first elt of the current block
first_elt = sum((arange(len(new_npart)) < i) * new_npart)
# update npart
new_npart[i] = new_npart[i] - n_elt
# loop over all vect erd,mass,num,pos,rho,rsp,u,vel
for name in list_of_array:
vec = getattr(self,name)
sub_vec = vec[first_elt:first_elt+n_elt]
if len(sub_vec) != n_elt:
print "redistribute error :"
print "node %d should send len=%d got len=%d"%(mpi.ThisTask,n_elt,len(sub_vec))
sys.exit()
mpi.mpi_send(name,toTask)
mpi.mpi_send(sub_vec,toTask)
#self.pos = concatenate( (self.pos[:first_elt],self.pos[first_elt+n_elt:]) )
setattr(self, name, concatenate( (vec[:first_elt],vec[first_elt+n_elt:]) ) )
# recieve particles
for fromTask in range(mpi.NTask):
if ex_table[fromTask,mpi.ThisTask] > 0:
n_elt = ex_table[fromTask,mpi.ThisTask]
#print "%d get %d from %d"%(mpi.ThisTask,n_elt,fromTask)
# first_elt = first elt of the current block
first_elt = sum((arange(len(new_npart)) < i) * new_npart)
# update npart
new_npart[i] = new_npart[i] + n_elt
# loop over all vect
for name in list_of_array:
# first, check name
send_name = mpi.mpi_recv(fromTask)
if send_name != name:
raise "Task %d FromTask %d, %s != %s"%(mpi.mpi_ThisTask(),fromTask,send_name,name)
vec = getattr(self,name)
sub_vec = mpi.mpi_recv(fromTask)
if len(sub_vec) != n_elt:
print "redistribute error :"
print "node %d should recive len=%d got len=%d"%(mpi.ThisTask,n_elt,len(sub_vec))
sys.exit()
#self.pos = concatenate( (vec[:first_elt],sub_vec,vec[first_elt:]) )
setattr(self, name, concatenate( (vec[:first_elt],sub_vec,vec[first_elt:]) ) )
self.init()
def ExchangeParticles(self):
'''
Exchange particles betwee procs, using peano-hilbert decomposition computed in ptree
'''
if self.Tree==None:
self.Tree = self.getTree()
# get num and procs from the Tree
num,procs = self.Tree.GetExchanges()
# compute the transition table T
H,bins = histogram(procs,arange(mpi.mpi_NTask()))
T = mpi.mpi_AllgatherAndConcatArray(H)
T.shape = (mpi.mpi_NTask(),mpi.mpi_NTask())
# loop over all numpy vectors
list_of_array = self.get_list_of_array()
# loop over all vect
for name in list_of_array:
if name != "num":
setattr(self, name, mpi.mpi_ExchangeFromTable(T,procs,num,getattr(self,name),copy(self.num)) )
# do num at the end
self.num = mpi.mpi_ExchangeFromTable(T,procs,num,self.num,copy(self.num))
self.init()
def SendAllToAll(self):
'''
Send all particles to all nodes
at the end of the day, all nodes have the same nbody object
'''
nbs = []
for i in xrange(mpi.NTask-1):
prev = (mpi.ThisTask-i-1)%mpi.NTask
next = (mpi.ThisTask+i+1)%mpi.NTask
nbs.append(mpi.mpi_sendrecv(self,dest=next,source=prev))
for nbi in nbs:
self = self + nbi
return self
#################################
#
# specific parallel functions
#
#################################
def gather_pos(self):
'''
Gather in a unique array all positions of all nodes.
'''
return self.gather_vec(self.pos)
def gather_vel(self):
'''
Gather in a unique array all velocites of all nodes.
'''
return self.gather_vec(self.vel)
def gather_mass(self):
'''
Gather in a unique array all mass of all nodes.
'''
return self.gather_vec(self.mass)
def gather_num(self):
'''
Gather in a unique array all num of all nodes.
'''
return self.gather_vec(self.num)
def gather_vec(self,vec):
'''
Gather in a unique array all vectors vec of all nodes.
'''
# here, we assume that we have a vector npart
# giving the number of particles per type
vec_all = array([],vec.dtype)
if vec.ndim==1:
vec_all.shape = (0,)
else:
vec_all.shape = (0,vec.shape[1])
i1 = 0
npart = self.npart
for i in range(len(npart)):
i2 = i1 + npart[i]
if (i1!=i2):
vec_all = concatenate((vec_all,mpi.mpi_AllgatherAndConcatArray(vec[i1:i2])))
i1 = i1 + npart[i]
return vec_all
#################################
#
# graphical operations
#
#################################
def display(self,*arg,**kw):
'''
Display the model
'''
if kw.has_key('palette'):
palette = kw['palette']
else:
palette = None
if kw.has_key('save'):
save = kw['save']
else:
save = None
if kw.has_key('marker'):
marker = kw['marker']
else:
marker = None
params = extract_parameters(arg,kw,self.defaultparameters)
mat,matint,mn_opts,mx_opts,cd_opts = self.Map(params)
if mpi.mpi_IsMaster():
if save != None:
if os.path.splitext(save)[1] == ".fits":
io.WriteFits(transpose(mat).astype(float32),save, None)
return
if palette!=None:
mplot(matint,palette=palette,save=save,marker=marker)
else:
mplot(matint,save=save,marker=marker)
def show(self,*arg,**kw):
'''
Display the model
this is an alias to display
'''
self.display(*arg,**kw)
def Map(self,*arg,**kw):
'''
Return 2 final images (float and int)
'''
params = extract_parameters(arg,kw,self.defaultparameters)
mn_opts = []
mx_opts = []
cd_opts = []
if self.nbody==0 and mpi.mpi_NTask()==1:
mat = zeros(params['shape'],float32)
matint = mat.astype(int)
mn_opts.append(params['mn'])
mx_opts.append(params['mx'])
cd_opts.append(params['cd'])
return mat,matint,mn_opts,mx_opts,cd_opts
# compute map
mat = self.CombiMap(params)
# set ranges
matint,mn_opt,mx_opt,cd_opt = set_ranges(mat,scale=params['scale'],cd=params['cd'],mn=params['mn'],mx=params['mx'])
mn_opts.append(mn_opt)
mx_opts.append(mx_opt)
cd_opts.append(cd_opt)
# add contour
if params['l_color'] != 0:
matint = contours(mat,matint,params['l_n'],params['l_min'],params['l_max'],params['l_kx'],params['l_ky'],params['l_color'],params['l_crush'])
# add box and ticks
if params['b_weight'] != 0:
matint = add_box(matint,shape=params['shape'],size=params['size'],center=None,box_opts=(params['b_weight'],params['b_xopts'],params['b_yopts'],params['b_color']))
return mat,matint,mn_opts,mx_opts,cd_opts
def CombiMap(self,*arg,**kw):
'''
Return an image in form of a matrix (nx x ny float array).
Contrary to ComputeMap, CombiMap compose different output of ComputeMap.
pos : position of particles (moment 0)
sr : dispertion in r (with respect to xp)
svr : dispertion in vr
vxyr : mean velocity in the plane
svxyr: dispertion in vxy
vtr : mean tangential velocity in the plane
svtr : dispertion in vt
szr : ratio sigma z/sigma r
'''
params = extract_parameters(arg,kw,self.defaultparameters)
mode = params['mode']
#if mode == 'pos':
# mat = self.ComputeMap(params)
if mode == 'm':
mat = self.ComputeMap(params)
elif mode == 'sr':
mat = self.ComputeSigmaMap(params,mode1='r',mode2='r2')
elif mode == 'svr':
mat = self.ComputeSigmaMap(params,mode1='vr',mode2='vr2')
elif mode == 'svxyr':
mat = self.ComputeSigmaMap(params,mode1='vxyr',mode2='vxyr2')
elif mode == 'svtr':
mat = self.ComputeSigmaMap(params,mode1='vtr',mode2='vtr2')
elif mode == 'szr': # could be simplified
m0 = self.ComputeMap(params,mode='m')
m1 = self.ComputeMap(params,mode='vr')
m2 = self.ComputeMap(params,mode='vr2')
m1 = where(m0==0,0,m1)
m2 = where(m0==0,0,m2)
m0 = where(m0==0,1,m0)
mat = m2/m0 - (m1/m0)**2
mat_sz = sqrt(numclip(mat,0,1e10))
m0 = self.ComputeMap(params,mode='m')
m1 = self.ComputeMap(params,mode='vxyr')
m2 = self.ComputeMap(params,mode='vxyr2')
m1 = where(m0==0,0,m1)
m2 = where(m0==0,0,m2)
m0 = where(m0==0,1,m0)
mat = m2/m0 - (m1/m0)**2
mat_sr = sqrt(numclip(mat,0,1e10))
mat_sz = where(mat_sr==0,0,mat_sz)
mat_sr = where(mat_sr==0,1,mat_sr)
mat = mat_sz/mat_sr
elif mode == 'lum':
mat = self.ComputeMap(params,mode='lum')
else:
mat = self.ComputeMeanMap(params,mode1=mode)
return mat
def ComputeMeanMap(self,*arg,**kw):
"""
Compute the mean map of an observable.
"""
params = extract_parameters(arg,kw,self.defaultparameters)
if kw.has_key('mode1'):
mode1 = kw['mode1']
else:
raise "ComputeMeanMap :","you must give parameter mode1"
m0 = self.ComputeMap(params,mode='0')
m1 = self.ComputeMap(params,mode=mode1)
m1 = where(m0==0,0,m1)
m0 = where(m0==0,1,m0)
mat = m1/m0
return mat
def ComputeSigmaMap(self,*arg,**kw):
"""
Compute the sigma map of an observable.
"""
params = extract_parameters(arg,kw,self.defaultparameters)
if kw.has_key('mode1'):
mode1 = kw['mode1']
else:
raise "ComputeMeanMap","you must give parameter mode1"
if kw.has_key('mode2'):
mode2 = kw['mode2']
else:
raise "ComputeMeanMap","you must give parameter mode2"
m0 = self.ComputeMap(params,mode='0')
m1 = self.ComputeMap(params,mode=mode1)
m2 = self.ComputeMap(params,mode=mode2)
m1 = where(m0==0,0,m1)
m2 = where(m0==0,0,m2)
m0 = where(m0==0,1,m0)
mat = m2/m0 - (m1/m0)**2
mat = sqrt(numclip(mat,0,1e10))
return mat
def ComputeMap(self,*arg,**kw):
'''
Return an image in form of a matrix (nx x ny float array)
obs : position of observer
x0 : eye position
xp : focal position
alpha : angle of the head
view : 'xy' 'xz' 'yz'
eye : 'right' 'left'
dist_eye : distance between eyes
mode : mode of map
space : pos or vel
persp : 'on' 'off'
clip : (near,far)
size : (maxx,maxy)
cut : 'yes' 'no'
frsp : factor for rsp
shape : shape of the map
'''
params = extract_parameters(arg,kw,self.defaultparameters)
obs = params['obs']
x0 = params['x0']
xp = params['xp']
alpha = params['alpha']
mode = params['mode']
view = params['view']
r_obs = params['r_obs']
eye = params['eye']
dist_eye = params['dist_eye']
foc = params['foc']
space = params['space']
persp = params['persp']
clip = params['clip']
size = params['size']
shape = params['shape']
cut = params['cut']
frsp = params['frsp']
filter_name = params['filter_name']
filter_opts = params['filter_opts']
# 0)
if getvaltype(mode)=='normal':
val = getval(self,mode=mode,obs=obs)
# 1) get observer position
if obs==None:
obs = geo.get_obs(x0=x0,xp=xp,alpha=alpha,view=view,r_obs=r_obs)
# 2) expose the model # !!! as in self.expose we use Nbody() this must be called by each Task
nb,obs = self.expose(obs,eye,dist_eye,foc=foc,space=space)
if self.nbody > 0:
# 3) compute val
if getvaltype(mode)=='in projection':
val = getval(nb,mode=mode,obs=obs)
# 4) projection transformation
if persp == 'on':
zp = - nb.pos[:,2] # save dist obs-point
pos = geo.frustum(nb.pos,clip,size)
else:
pos = geo.ortho(nb.pos,clip,size)
# 5) keep only particles in 1:1:1
if not self.has_array('rsp'): # bad !!!
self.rsp = None
if cut=='yes':
if self.rsp!= None:
if params['rendering']=='map':
pos,(mass,rsp,val,zp) = geo.boxcut(pos,[self.mass,self.rsp,val,zp])
else:
pos,(mass,rsp,val,zp) = geo.boxcut_segments(pos,[self.mass,self.rsp,val,zp])
else:
if params['rendering']=='map':
pos,(mass,val,zp) = geo.boxcut(pos,[self.mass,val,zp])
else:
pos,(mass,val,zp) = geo.boxcut_segments(pos,[self.mass,val,zp])
rsp = None
else:
mass = self.mass
rsp = self.rsp
if len(pos)!=0:
# 6) scale rsp and scale mass
if frsp!= 0:
if (rsp==None) or (sum(rsp)==0):
rsp = ones(len(pos),float32)
if persp == 'on':
fact = 1/(zp+clip[0])
# rsp is distance dependant...
rsp = rsp * fact
rsp = rsp.astype(float32)
# mass is distance dependant...
mass = mass*fact**2
mass = mass.astype(float32)
rsp = rsp*frsp # multiply with the factor
self.log.write( "rsp : min = %10.5f max = %10.5f mean = %10.5f"%(min(rsp),max(rsp),rsp.mean()) )
rsp = numclip(rsp,0,100)
self.log.write( "rsp : min = %10.5f max = %10.5f mean = %10.5f"%(min(rsp),max(rsp),rsp.mean()) )
rsp = rsp.astype(float32)
else:
rsp = None
# 7) viewport transformation : (x,y) -> ((0,1),(0,1))
pos = geo.viewport(pos,shape=None)
pos = pos.astype(float32)
# 8) render : map or lines
if params['rendering']=='map':
if rsp != None:
mat = mkmap2dsph(pos,mass,val,rsp,shape)
else:
mat = mkmap2d(pos,mass,val,shape)
elif params['rendering']=='mapcubic':
if rsp != None:
mat = mkmap2dncub(pos,mass,val,rsp,shape)
else:
raise "rsp need to be defined"
elif params['rendering']=='polygon':
pos = pos * array([params['shape'][0],params['shape'][1] ,0])
mat = zeros(params['shape'],float32)
mat = draw_polygon(mat,pos[:,0],pos[:,1],1)
elif params['rendering']=='lines':
pos = pos * array([params['shape'][0],params['shape'][1] ,0])
mat = zeros(params['shape'],float32)
mat = draw_lines(mat,pos[:,0],pos[:,1],1)
elif params['rendering']=='segments':
pos = pos * array([params['shape'][0],params['shape'][1] ,0])
mat = zeros(params['shape'],float32)
mat = draw_segments(mat,pos[:,0],pos[:,1],1,zp)
elif params['rendering']=='points':
pos = pos * array([params['shape'][0],params['shape'][1] ,0])
mat = zeros(params['shape'],float32)
mat = draw_points(mat,pos[:,0],pos[:,1],1)
elif params['rendering']=='polygon2':
pos = pos * array([params['shape'][0],params['shape'][1] ,0])
mat = zeros(params['shape'],float32)
mat = draw_polygonN(mat,pos[:,0],pos[:,1],1,2)
elif params['rendering']=='polygon4':
pos = pos * array([params['shape'][0],params['shape'][1] ,0])
mat = zeros(params['shape'],float32)
mat = draw_polygonN(mat,pos[:,0],pos[:,1],1,4)
elif params['rendering']=='polygon10':
pos = pos * array([params['shape'][0],params['shape'][1] ,0])
mat = zeros(params['shape'],float32)
mat = draw_polygonN(mat,pos[:,0],pos[:,1],1,10)
elif params['rendering'][:8]=='polygon#':
n = int(params['rendering'][8:])
pos = pos * array([params['shape'][0],params['shape'][1] ,0])
mat = zeros(params['shape'],float32)
mat = draw_polygonN(mat,pos[:,0],pos[:,1],1,n)
else: # compute a map
if rsp != None:
mat = mkmap2dsph(pos,mass,val,rsp,shape)
else:
mat = mkmap2d(pos,mass,val,shape)
# there is no particles (after 5)
else:
mat = zeros(params['shape'],float32)
# there is no particles
else:
mat = zeros(params['shape'],float32)
# 9) sum mat over all proc
#mat = mpi.mpi_allreduce(mat) # could be more efficient if only the master get the final mat
mat = mpi.mpi_allreduce(mat)
# 10) filter matrix
if mpi.mpi_IsMaster():
if params['filter_name'] != None:
mat = apply_filter(mat,name=filter_name,opt=filter_opts)
return mat
def ComputeObjectMap(self,*arg,**kw):
'''
* * * IN DEVELOPPEMENT : allow to draw an object like a box, a grid... * * *
Return an image in form of a matrix (nx x ny float array)
obs : position of observer
x0 : eye position
xp : focal position
alpha : angle of the head
view : 'xy' 'xz' 'yz'
eye : 'right' 'left'
dist_eye : distance between eyes
mode : mode of map
space : pos or vel
persp : 'on' 'off'
clip : (near,far)
size : (maxx,maxy)
cut : 'yes' 'no'
frsp : factor for rsp
shape : shape of the map
'''
# here, nb must represent a geometric object
# ob
# expose : -> must use ob instead of self
# --> we can give explicitely pos and vel
# ensuite, le nb est le bon
params = extract_parameters(arg,kw,self.defaultparameters)
obs = params['obs']
x0 = params['x0']
xp = params['xp']
alpha = params['alpha']
mode = params['mode']
view = params['view']
r_obs = params['r_obs']
eye = params['eye']
dist_eye = params['dist_eye']
foc = params['foc']
space = params['space']
persp = params['persp']
clip = params['clip']
size = params['size']
shape = params['shape']
cut = params['cut']
frsp = params['frsp']
filter_name = params['filter_name']
filter_opts = params['filter_opts']
# 0)
if getvaltype(mode)=='normal':
val = getval(self,mode=mode,obs=obs)
# 1) get observer position
if obs==None:
obs = geo.get_obs(x0=x0,xp=xp,alpha=alpha,view=view,r_obs=r_obs)
# 2) expose the model # !!! as in self.expose we use Nbody() this must be called by each Task
nb,obs = self.expose(obs,eye,dist_eye,foc=foc,space=space)
if self.nbody > 0:
# 3) compute val
if getvaltype(mode)=='in projection':
val = getval(nb,mode=mode,obs=obs)
# 4) projection transformation
if persp == 'on':
zp = - nb.pos[:,2] # save dist obs-point
pos = geo.frustum(nb.pos,clip,size)
else:
pos = geo.ortho(nb.pos,clip,size)
# 5) keep only particles in 1:1:1
if not self.has_array('rsp'): # bad !!!
self.rsp = None
if cut=='yes':
if self.rsp!= None:
pos,(mass,rsp,val,zp) = geo.boxcut(pos,[self.mass,self.rsp,val,zp])
else:
pos,(mass,val,zp) = geo.boxcut(pos,[self.mass,val,zp])
rsp = None
else:
mass = self.mass
rsp = self.rsp
if len(pos)!=0:
# 6) scale rsp and scale mass
if frsp!= 0:
if (rsp==None) or (sum(rsp)==0):
rsp = ones(len(pos),float32)
if persp == 'on':
fact = 1/((zp-clip[0])+ 2*clip[0])
# rsp is distance dependant...
rsp = rsp * fact
rsp = rsp.astype(float32)
# mass is distance dependant...
mass = mass*fact**2
mass = mass.astype(float32)
rsp = rsp*frsp # multiply with the factor
self.log.write( "rsp : min = %10.5f max = %10.5f mean = %10.5f"%(min(rsp),max(rsp),rsp.mean()) )
rsp = numclip(rsp,0,100)
self.log.write( "rsp : min = %10.5f max = %10.5f mean = %10.5f"%(min(rsp),max(rsp),rsp.mean()) )
rsp = rsp.astype(float32)
else:
rsp = None
# 7) viewport transformation : (x,y) -> ((0,1),(0,1))
pos = geo.viewport(pos,shape=None)
pos = pos.astype(float32)
# 8) get the map
#if rsp != None:
# mat = mkmap2dsph(pos,mass,val,rsp,shape)
#else:
# mat = mkmap2d(pos,mass,val,shape)
#
# empty matrix
mat = zeros(params['shape'],float32)
#for po in pos:
# i = int(po[0]*params['shape'][0])
# j = int(po[1]*params['shape'][1])
# mat[i,j]=255
pos = pos * [ params['shape'][0],params['shape'][1],1 ]
x0 = pos[0][0]
y0 = pos[0][1]
x1 = pos[1][0]
y1 = pos[1][1]
mat = libutil.draw_line(mat,x0,x1,y0,y1,255)
#mat = libutil.draw_cube(mat,pos,255)
# there is no particles (after 5)
else:
mat = zeros(params['shape'],float32)
# there is no particles
else:
mat = zeros(params['shape'],float32)
# 9) sum mat over all proc
mat = mpi.mpi_allreduce(mat) # may be inefficient, better use reduce ?
# 10) filter matrix
if mpi.mpi_IsMaster():
if params['filter_name'] != None:
mat = apply_filter(mat,name=filter_name,opt=filter_opts)
return mat
def expose(self,obs,eye=None,dist_eye=None,foc=None,space='pos',pos=None,vel=None):
"""
Rotate and translate the object in order to be seen as if the
observer was in x0, looking at a point in xp.
obs : observer matrix
eye : 'right' or 'left'
dist_eye : distance between eyes (separation = angle)
space : pos or vel
foc : focal
"""
# create a minimal copy of self
if pos!=None and vel!=None:
obj = Nbody(status='new',p_name='none',pos=pos,vel=vel,mass=None,ftype='default')
else:
obj = Nbody(status='new',p_name='none',pos=self.pos,vel=self.vel,mass=None,ftype='default')
if space=='vel':
obj.pos = self.vel
# first : put x0 at the origin
obj.translate(- obs[0])
obs = obs - obs[0]
# second : anti-align e1 with z
obj.align2( axis1=obs[1],axis2=[0,0,-1])
obs = geo.align(obs,axis1=obs[1],axis2=[0,0,-1])
# third : align e3 with y
obj.align2( axis1=obs[3],axis2=[0,1,0])
obs = geo.align(obs,axis1=obs[3],axis2=[0,1,0])
# fourth if eye is defined
if eye=='right':
if foc==None or foc==0: # simple translation (wee look at infini)
obj.translate([-dist_eye,0,0]) # not /2 for compatibility with glups
else:
Robs = foc
phi = -arctan(dist_eye)
obj.rotate( angle=-phi,axis=[0,1,0],point=[0,0,-Robs])
elif eye=='left':
if foc==None or foc==0: # simple translation (wee look at infini)
obj.translate([+dist_eye,0,0]) # not /2 for compatibility with glups
else:
Robs = foc
phi = -arctan(dist_eye)
obj.rotate( angle=+phi,axis=[0,1,0],point=[0,0,-Robs])
return obj,obs
'''
def getvxy(self,shape=(256,256),size=(30.,30.),center=(0.,0.,0.),view='xz',vn=8.,vmax=0.1,color=1):
self.log.write( "the result may be incertain (in development)" )
# choice of the view
if view=='xz':
view=1
elif view=='xy':
view=2
elif view=='yz':
view=3
elif view!='xz'and view!='xy'and view!='yz':
view=1
dx = mapone(self.pos,self.mass,self.vel[:,0],shape,size,center,view) * vn/vmax
dy = - mapone(self.pos,self.mass,self.vel[:,2],shape,size,center,view) * vn/vmax
# mask
mask = fromfunction(lambda x,y: (fmod(x,vn) + fmod(y,vn))==0 ,shape)
# points de depart
x0 = indices(shape)[0] + int(vn/2.)
y0 = indices(shape)[1] + int(vn/2.)
# points d'arrivee
x1 = x0 + dx.astype(int)
y1 = y0 + dy.astype(int)
# truncation
x1 = numclip(x1,0,shape[0])
y1 = numclip(y1,0,shape[1])
# compress
mask = mask*(x1!=x0)*(y1!=y0)
mask = ravel(mask)
x0 = compress(mask,ravel(x0))
x1 = compress(mask,ravel(x1))
y0 = compress(mask,ravel(y0))
y1 = compress(mask,ravel(y1))
# trace lines
mat = zeros(shape,float32)
color = array(color,int8)[0]
for i in range(len(x0)):
create_line(mat,x0[i],y0[i],x1[i],y1[i],color)
create_line(mat,x0[i],y0[i],x0[i]+1,y0[i]+1,color)
create_line(mat,x0[i],y0[i],x0[i]+1,y0[i] ,color)
create_line(mat,x0[i],y0[i],x0[i] ,y0[i]+1,color)
return mat.astype(int8)
'''
#################################
#
# 1d histograms routines
#
#################################
###########################
def Histo(self,bins,mode='m',space='R'):
###########################
histo = self.CombiHisto(bins,mode=mode,space=space)
# take the mean
bins1 = bins[:-1]
bins2 = bins[1:]
bins = (bins1+bins2)/2.
return bins,mpi.mpi_allreduce(histo)
###########################
def CombiHisto(self,bins,mode='m',space='R'):
###########################
if mode == 'm':
histo = self.ComputeHisto(bins,mode='0',space=space)
elif mode == 'sz':
histo = self.ComputeSigmaHisto(bins,mode1='z',mode2='z2',space=space)
elif mode == 'svz':
histo = self.ComputeSigmaHisto(bins,mode1='vz',mode2='vz2',space=space)
elif mode == 'svt':
histo = self.ComputeSigmaHisto(bins,mode1='vt',mode2='vt2',space=space)
elif mode == 'svr':
histo = self.ComputeSigmaHisto(bins,mode1='vr',mode2='vr2',space=space)
elif mode == 'vt':
histo = self.ComputeMeanHisto(bins,mode1='vt',space=space)
elif mode == 'vr':
histo = self.ComputeMeanHisto(bins,mode1='vr',space=space)
elif mode == 'vz':
histo = self.ComputeMeanHisto(bins,mode1='vz',space=space)
else:
print "unknown mode %s"%(mode)
return histo
#################################
def ComputeMeanHisto(self,bins,mode1,space):
#################################
"""
Compute the mean map of an observable.
"""
h0 = self.ComputeHisto(bins,mode='0',space=space)
h1 = self.ComputeHisto(bins,mode=mode1,space=space)
h1 = where(h0==0,0,h1)
h0 = where(h0==0,1,h0)
h = h1/h0
return h
#################################
def ComputeSigmaHisto(self,bins,mode1,mode2,space):
#################################
"""
Compute the histogram of an observable.
"""
h0 = self.ComputeHisto(bins,mode='0',space=space)
h1 = self.ComputeHisto(bins,mode=mode1,space=space)
h2 = self.ComputeHisto(bins,mode=mode2,space=space)
h1 = where(h0==0,0,h1)
h2 = where(h0==0,0,h2)
h0 = where(h0==0,1,h0)
h = h2/h0 - (h1/h0)**2
h = sqrt(numclip(h,0,1e10))
return h
#################################
def ComputeHisto(self,bins,mode,space):
#################################
'''
Compute and histogram
'''
# set space
if space == 'R':
x = self.rxy()
elif space == 'r':
x = self.rxyz()
# set mode
if mode == 'm' or mode=='0':
v = self.mass
elif mode == 'z':
v = self.mass*self.z()
elif mode == 'z2':
v = self.mass*self.z()**2
elif mode == 'vz':
v = self.mass*self.vz()
elif mode == 'vz2':
v = self.mass*self.vz()**2
elif mode == 'vt':
v = self.mass*self.Vt()
elif mode == 'vt2':
v = self.mass*self.Vt()**2
elif mode == 'vr':
v = self.mass*self.Vr()
elif mode == 'vr2':
v = self.mass*self.Vr()**2
else:
print "unknown mode %s"%(mode)
histo = whistogram(x.astype(float),v.astype(float),bins.astype(float))
return histo
############################################
#
# Routines to get velocities from positions
#
############################################
def Get_Velocities_From_Virial_Approximation(self,select=None,vf=1.,eps=0.1,UseTree=True,Tree=None,ErrTolTheta=0.5):
'''
This routine does not work ! Do not use it, or check !
'''
if select!=None:
nb_sph = self.select(select)
else:
nb_sph = self
# build the Tree for nb
self.getTree(force_computation=True,ErrTolTheta=ErrTolTheta)
# compute potential
pot = 0.5*self.TreePot(nb_sph.pos,eps)
# virial approximation to get the velocities
sigmasp = sqrt(-pot/3*vf)
# compute accel
acc = self.TreeAccel(nb_sph.pos,eps)
pot = (acc[:,0]*nb_sph.pos[:,0] + acc[:,1]*nb_sph.pos[:,1] + acc[:,2]*nb_sph.pos[:,2])
# virial approximation to get the velocities
sigmas = sqrt(-pot/3*vf)
# avoid negative values
sigmas = where( (pot>0),sigmasp, sigmas )
# generate velocities
vx = sigmas*RandomArray.standard_normal([nb_sph.nbody])
vy = sigmas*RandomArray.standard_normal([nb_sph.nbody])
vz = sigmas*RandomArray.standard_normal([nb_sph.nbody])
nb_sph.vel = transpose(array([vx,vy,vz])).astype(float32)
return nb_sph
def Get_Velocities_From_AdaptativeSpherical_Grid(self,select=None,eps=0.1,n=1000,UseTree=True,Tree=None,phi=None,ErrTolTheta=0.5):
'''
Computes velocities using the jeans equation in spherical coordinates.
An adaptative grid is set automatically.
'''
if select!=None:
nb_sph = self.select(select)
else:
nb_sph = self
# create the adaptiative grid and compute rho
r = nb_sph.rxyz()
a = r.argsort()
x = take(nb_sph.pos[:,0],a)
y = take(nb_sph.pos[:,1],a)
z = take(nb_sph.pos[:,2],a)
mass = take(nb_sph.mass,a)
r = sqrt( x**2 + y**2 + z**2 )
n_bins = int((nb_sph.nbody+1)/n + 1)
rs = []
rsmin = []
rsmax = []
rhos = []
ns = []
for i in xrange(n_bins):
jmin = i*n
jmax = i*n + n
jmin = min(jmin,nb_sph.nbody-1)
jmax = min(jmax,nb_sph.nbody-1)
if jmin!=jmax:
rr = r[jmin:jmax]
mm = mass[jmin:jmax]
rmean = rr.mean()
rmin = rr.min()
rmax = rr.max()
rs.append(rmean)
rsmin.append(rmin)
rsmax.append(rmax)
# density
rho = sum(mm)/(4/3.*pi*(rmax**3-rmin**3))
rhos.append(rho)
# number
ns.append(len(rr))
r = array(rs)
rsmin = array(rsmin)
rsmax = array(rsmax)
rho = array(rhos)
dr = rsmax-rsmin
nn = array(ns)
# build the Tree for nb
self.getTree(force_computation=True,ErrTolTheta=ErrTolTheta)
# compute potential
x = r
y = zeros(len(r))
z = zeros(len(r))
pos = transpose(array([x,y,z])).astype(float32)
phi = self.TreePot(pos,eps)
# compute sigma
sigma = libdisk.get_1d_Sigma_From_Rho_Phi(rho=rho,phi=phi,r=r,dr=dr)
# generate velocities for all particles
sigmas = lininterp1d(nb_sph.rxyz().astype(float32),r.astype(float32),sigma.astype(float32))
vx = sigmas*RandomArray.standard_normal([nb_sph.nbody])
vy = sigmas*RandomArray.standard_normal([nb_sph.nbody])
vz = sigmas*RandomArray.standard_normal([nb_sph.nbody])
nb_sph.vel = transpose(array([vx,vy,vz])).astype(float32)
# here we should limit the speed according to max speed
phis = lininterp1d(nb_sph.rxyz().astype(float32),r.astype(float32),phi.astype(float32))
vm = 0.95*sqrt(-2*phis)
vn = nb_sph.vn()
vf = where(vn>vm,vm/vn,1)
vf.shape = (len(vf),1)
nb_sph.vel = nb_sph.vel * vf
# other info
phi
dphi = libgrid.get_First_Derivative(phi,r)
vcirc = libdisk.Vcirc(r,dphi)
stats = {}
stats['r'] = r
stats['nn'] = nn
stats['phi'] = phi
stats['rho'] = rho
stats['sigma'] = sigma
stats['vc'] = vcirc
return nb_sph,phi,stats
def Get_Velocities_From_Spherical_Grid(self,select=None,eps=0.1,nr=128,rmax=100.0,UseTree=True,Tree=None,phi=None,ErrTolTheta=0.5,g=None,gm=None,NoDispertion=False,omega=None):
'''
Computes velocities using the jeans equation in spherical coordinates.
'''
if select!=None:
nb_sph = self.select(select)
else:
nb_sph = self
# build the Tree for nb
self.getTree(force_computation=True,ErrTolTheta=ErrTolTheta)
# create the grid
G = libgrid.Spherical_1d_Grid(rmin=0,rmax=rmax,nr=nr,g=g,gm=gm)
if phi==None:
phi = G.get_PotentialMap(self,eps=eps,UseTree=UseTree)
r = G.get_r()
rho = G.get_DensityMap(nb_sph)
nn = G.get_NumberMap(nb_sph)
# dr
dr = G.get_r(offr=1)-G.get_r(offr=0)
# compute sigma
sigma = libdisk.get_1d_Sigma_From_Rho_Phi(rho=rho,phi=phi,r=r,dr=dr)
# correct sigma in case of rotation (we assume the rotation around z)
if omega!=None:
print "add rotation"
e_jeans = 0.5*sigma*sigma
e_rot = 0.5*r**2 * omega**2
e = e_jeans - e_rot
if (e<0).any():
print "at some radius the kinetic specifig energy is less than zero\nYou should decrease omega."
e = where(e<0,0,e)
sigma = sqrt(2*e)
# generate velocities for all particles
sigmas = G.get_Interpolation(nb_sph.pos,sigma)
if NoDispertion:
vx = sigmas*ones(nb_sph.nbody)
vy = sigmas*ones(nb_sph.nbody)
vz = sigmas*ones(nb_sph.nbody)
else:
vx = sigmas*RandomArray.standard_normal([nb_sph.nbody])
vy = sigmas*RandomArray.standard_normal([nb_sph.nbody])
vz = sigmas*RandomArray.standard_normal([nb_sph.nbody])
nb_sph.vel = transpose(array([vx,vy,vz])).astype(float32)
# do not spin
# add rotation
#if omega!=None:
# nb_sph.spin(omega=array([0,0,omega]))
# here we should limit the speed according to max speed
phis = G.get_Interpolation(nb_sph.pos,phi)
vm = 0.95*sqrt(-2*phis)
vn = nb_sph.vn()
vf = where(vn>vm,vm/vn,1)
vf.shape = (len(vf),1)
nb_sph.vel = nb_sph.vel * vf
# other info
phi
dphi = libgrid.get_First_Derivative(phi,r)
vcirc = libdisk.Vcirc(r,dphi)
stats = {}
stats['r'] = r
stats['nn'] = nn
stats['phi'] = phi
stats['rho'] = rho
stats['sigma'] = sigma
stats['vc'] = vcirc
return nb_sph,phi,stats
def Get_Velocities_From_Cylindrical_Grid(self,select='disk',disk=('gas','disk'),eps=0.1,nR=32,nz=32,nt=2,Rmax=100,zmin=-10,zmax=10,params=[None,None,None],UseTree=True,Tree=None,Phi=None,ErrTolTheta=0.5,AdaptativeSoftenning=False,g=None,gm=None,NoDispertion=False):
'''
Computes velocities using the jeans equation in cylindrical coordinates.
'''
mode_sigma_z = params[0]
mode_sigma_r = params[1]
mode_sigma_p = params[2]
if params[0]==None:
mode_sigma_z = {"name":"jeans","param":None}
if params[1]==None:
mode_sigma_r = {"name":"toomre","param":1.0}
if params[2]==None:
mode_sigma_p = {"name":"epicyclic_approximation","param":None}
nb_cyl = self.select(select) # current component
nb_dis = self.select(disk) # disk component, for Q computation
# build the Tree for nb
self.getTree(force_computation=True,ErrTolTheta=ErrTolTheta)
# create the grid
G = libgrid.Cylindrical_2drz_Grid(rmin=0,rmax=Rmax,nr=nR,zmin=zmin,zmax=zmax,nz=nz,g=g,gm=gm)
R,z = G.get_rz()
####################################
# compute Phi in a 2d rz grid
####################################
# here, we could use Acc instead
Phi = G.get_PotentialMap(self,eps=eps,UseTree=UseTree,AdaptativeSoftenning=AdaptativeSoftenning)
Phi = libgrid.get_Symetrisation_Along_Axis(Phi,axis=1)
#Accx,Accy,Accz = libgrid.get_AccelerationMap_On_Cylindrical_2dv_Grid(self,nR,nz,Rmax,zmin,zmax,eps=eps)
#Ar = sqrt(Accx**2+Accy**2)
####################################
# compute Phi (z=0) in a 2d rt grid
####################################
Grt = libgrid.Cylindrical_2drt_Grid(rmin=0,rmax=Rmax,nr=nR,nt=nt,z=0,g=g,gm=gm)
Accx,Accy,Accz = Grt.get_AccelerationMap(self,eps=eps,UseTree=UseTree,AdaptativeSoftenning=AdaptativeSoftenning)
Ar = sqrt(Accx**2+Accy**2)
Ar = sum(Ar,axis=1)/nt
Rp,tp = Grt.get_rt()
Phi0 = Phi[:,nz/2] # not used
dPhi0 = Ar
d2Phi0 = libgrid.get_First_Derivative(dPhi0,R)
# density
rho = G.get_DensityMap(nb_cyl,offz=-0.5)
rho = libgrid.get_Symetrisation_Along_Axis(rho,axis=1)
# number per bin
nn = G.get_NumberMap(nb_cyl,offz=-0.5)
Sden = G.get_SurfaceDensityMap(nb_cyl,offz=-0.5)
Sdend = G.get_SurfaceDensityMap(nb_dis,offz=-0.5)
# compute frequencies (in the plane)
kappa = libdisk.Kappa(R,dPhi0,d2Phi0)
omega = libdisk.Omega(R,dPhi0)
vcirc = libdisk.Vcirc(R,dPhi0)
nu = libdisk.Nu(z,Phi)
# compute sigma_z
if mode_sigma_z['name']=='jeans':
R1,z1 = G.get_rz(offz=0)
R2,z2 = G.get_rz(offz=1)
dz = z2-z1
sigma_z = libdisk.get_2d_Sigma_From_Rho_Phi(rho=rho,Phi=Phi,z=z,dz=dz)
sigma_z2 = sigma_z**2
elif mode_sigma_z['name']=='surface density':
"""sigma_z2 = pi*G*Sden*Hz"""
print "mode sigma z : 'surface density', not implemented yet"
sys.exit()
# compute sigma_r
if mode_sigma_r['name']=='epicyclic_approximation':
beta2 = mode_sigma_r['param']
f = where( kappa**2>0 , (1./beta2) * (nu**2/kappa**2) , 1.0 )
f.shape = (nR,1)
sigma_r2 = sigma_z2 * f
elif mode_sigma_r['name']=='isothropic':
sigma_r2 = sigma_z2
elif mode_sigma_r['name']=='toomre':
Q = mode_sigma_r['param']
Gg = 1.0
sr = where(kappa>0,Q*3.36*Gg*Sdend/kappa,sigma_z[:,nz/2])
sr.shape = (nR,1)
sigma_r2 = ones((nR,nz)) * sr
sigma_r2 = sigma_r2**2
elif mode_sigma_r['name']=='constant':
sr = mode_sigma_r['param']
sigma_r2 = ones((nR,nz)) * sr
sigma_r2 = sigma_r2**2
# compute sigma_p
if mode_sigma_p['name']=='epicyclic_approximation':
f = where( omega**2>0 , (1/4.0) * (kappa**2/omega**2) , 1.0 )
f.shape = (nR,1)
sigma_p2 = sigma_r2 * f
elif mode_sigma_p['name']=='isothropic':
sigma_p2 = sigma_z2
notok = True
count = 0
while notok:
count = count + 1
print "compute vm"
# compute vm
sr2 = sigma_r2[:,nz/2] # should not be only in the plane
sp2 = sigma_p2[:,nz/2] # should not be only in the plane
vc = vcirc # should not be only in the plane
T1 = vc**2
T2 = + sr2 - sp2
T3 = where(Sden>0,R/Sden,0)* libgrid.get_First_Derivative(Sden*sr2,R)
vm2 = T1 + T2 + T3
# if vm2 < 0
c = (vm2<0)
if sum(c)>0:
print "Get_Velocities_From_Cylindrical_Grid : vm2 < 0 for %d elements"%(sum(c))
'''
vm2 = where(c,0,vm2)
dsr2 = where(c,(T1+T2+T3)/2.,0) # energie qu'il faut retirer a sr
dsp2 = where(c,(T1+T2+T3)/2.,0) # energie qu'il faut retirer a sp
# take energy from sigma_r and sigma_p
sigma_r2 = transpose(transpose(sigma_r2) + dsr2)
sigma_p2 = transpose(transpose(sigma_p2) + dsp2)
'''
E = sr2 + sp2 + vm2
if sum(E<0) != 0:
print "-----------------------------------------------------"
for i in range(len(R)):
print R[i],vc[i]**2,sr2[i],sp2[i],vm2[i],sigma_z[i,nz/2]**2
print "-----------------------------------------------------"
print "Get_Velocities_From_Cylindrical_Grid : we are in trouble here..."
raise "E<0"
vm2 = where(c,E/3.,vm2)
sr2 = where(c,E/3.,sr2)
sp2 = where(c,E/3.,sp2)
sigma_r2 = transpose(ones((nz,nR)) * sr2)
sigma_p2 = transpose(ones((nz,nR)) * sp2)
if count > 0:
notok = False
else:
notok = False
# old implementation
#vm2 = where(c,T1,vm2)
#dsr2 = where(c,-(T2+T3)/2.,0)
#dsp2 = where(c,-(T2+T3)/2.,0)
# check again
c = (vm2<0).astype(int)
nvm = sum(c)
if sum(nvm)>0:
print "WARNING : %d cells still have vm<0 !!!"%(nvm)
print "Vc^2 < 0 !!!"
vm2 = where(c,0,vm2)
vm = where(vm2>0,sqrt(vm2),0)
# generate velocities for all particles
sigma_r2s = G.get_Interpolation(nb_cyl.pos,sigma_r2)
sigma_p2s = G.get_Interpolation(nb_cyl.pos,sigma_p2)
sigma_z2s = G.get_Interpolation(nb_cyl.pos,sigma_z2)
sigma_rs = where(sigma_r2s>0,sqrt(sigma_r2s),0)
sigma_ps = where(sigma_p2s>0,sqrt(sigma_p2s),0)
sigma_zs = where(sigma_z2s>0,sqrt(sigma_z2s),0)
vcircs = G.get_r_Interpolation(nb_cyl.pos,vcirc)
vms = G.get_r_Interpolation(nb_cyl.pos,vm)
if NoDispertion:
vr = sigma_rs
vp = sigma_ps*0 + vms
vz = sigma_zs
else:
vr = sigma_rs*RandomArray.standard_normal([nb_cyl.nbody])
vp = sigma_ps*RandomArray.standard_normal([nb_cyl.nbody]) + vms
vz = sigma_zs*RandomArray.standard_normal([nb_cyl.nbody])
vel = transpose(array([vr,vp,vz])).astype(float32)
nb_cyl.vel = libutil.vel_cyl2cart(nb_cyl.pos,vel)
# here we should limit the speed according to max speed
phis = G.get_Interpolation(nb_cyl.pos,Phi)
vmax = 0.95*sqrt(-2*phis)
vn = nb_cyl.vn()
vf = where(vn>vmax,vmax/vn,1)
vf.shape = (len(vf),1)
nb_cyl.vel = nb_cyl.vel * vf
# some output
sr = sigma_r = sqrt(sigma_r2[:,nz/2])
sp = sigma_p = sqrt(sigma_p2[:,nz/2])
sz = sigma_z = sqrt(sigma_z2[:,nz/2])
Q = where((Sden>0),sr*kappa/(3.36*Sdend),0)
stats = {}
stats['R'] = R
stats['z'] = z
stats['vc'] = vc
stats['vm'] = vm
stats['sr'] = sr
stats['sp'] = sp
stats['sz'] = sz
stats['kappa'] = kappa
stats['omega'] = omega
stats['nu'] = nu
stats['Sden'] = Sden
stats['Sdend'] = Sdend
stats['Q'] = Q
#stats['Ar'] = Ar
stats['rho'] = rho
stats['phi'] = Phi
stats['nn'] = nn
stats['sigma_z']= sqrt(sigma_z2)
stats['Phi0'] = Phi0
stats['dPhi0'] = dPhi0
stats['d2Phi0'] = d2Phi0
return nb_cyl,Phi,stats
############################################
#
# evolution routines
#
############################################
def IntegrateUsingRK(self,tstart=0,dt=1,dt0=1e-5,epsx=1.e-13,epsv=1.e-13):
"""
Integrate the equation of motion using RK78 integrator.
tstart : initial time
dt : interval time
dt0 : inital dt
epsx : position precision
epsv : velocity precision
tmin,tmax,dt,dtout,epsx,epsv,filename
"""
tend = tstart + dt
self.pos,self.vel,self.atime,self.dt = nbdrklib.IntegrateOverDt(self.pos.astype(float),self.vel.astype(float),self.mass.astype(float),tstart,tend,dt,epsx,epsv)
self.pos = self.pos.astype(float32)
self.vel = self.vel.astype(float32)
#################################
#
# Thermodynamic functions
#
#################################
def U(self):
'''
Return the gas specific energy of the model.
The output is an nx1 float array.
'''
return self.u
def Rho(self):
'''
Return the gas density of the model.
The output is an nx1 float array.
'''
try:
a3inv = 1./self.atime**3
except:
a3inv = 1.
if self.unitsparameters.get('HubbleParam') == 1:
self.log.write("assuming non cosmological simulation")
a3inv = 1.
try:
rho = self.rho*a3inv
return rho
except:
return self.rho
def T(self):
'''
Return the gas temperature of the model.
The output is an nx1 float array.
'''
gamma = self.unitsparameters.get('gamma')
xi = self.unitsparameters.get('xi')
ionisation = self.unitsparameters.get('ionisation')
mu = thermodyn.MeanWeight(xi,ionisation)
mh = ctes.PROTONMASS.into(self.localsystem_of_units)
k = ctes.BOLTZMANN.into(self.localsystem_of_units)
thermopars = {"k":k,"mh":mh,"mu":mu,"gamma":gamma}
T = where((self.u>0),thermodyn.Tru(self.Rho(),self.u,thermopars),0)
return T
def MeanWeight(self):
'''
Return the mean weight of a model, taking into account
heating by UV source.
The output is an nx1 float array.
'''
xi = self.unitsparameters.get('xi')
Redshift = 1./self.atime - 1.
UnitDensity_in_cgs = self.localsystem_of_units.get_UnitDensity_in_cgs()
UnitEnergy_in_cgs = self.localsystem_of_units.get_UnitEnergy_in_cgs()
UnitMass_in_g = self.localsystem_of_units.get_UnitMass_in_g()
HubbleParam = self.hubbleparam
# 0) convert into cgs
Density = self.rho.astype(float) *UnitDensity_in_cgs * (HubbleParam*HubbleParam) / self.atime**3
Egyspec = self.u.astype(float) *UnitEnergy_in_cgs/UnitMass_in_g
# 1) compute mu
MeanWeight,Lambda = coolinglib.cooling(Egyspec,Density,xi,Redshift)
return MeanWeight.astype(float32)
def Tmu(self):
'''
Return the gas temperature of the model.
The output is an nx1 float array.
'''
gamma = self.unitsparameters.get('gamma')
mh = ctes.PROTONMASS.into(self.localsystem_of_units)
k = ctes.BOLTZMANN.into(self.localsystem_of_units)
T = (gamma-1) *self.MeanWeight().astype(float) *mh/k * self.u
return T.astype(float32)
def A(self):
'''
Return the gas entropy of the model.
The output is an nx1 float array.
'''
gamma = self.unitsparameters.get('gamma')
xi = self.unitsparameters.get('xi')
ionisation = self.unitsparameters.get('ionisation')
mu = thermodyn.MeanWeight(xi,ionisation)
mh = ctes.PROTONMASS.into(self.localsystem_of_units)
k = ctes.BOLTZMANN.into(self.localsystem_of_units)
thermopars = {"k":k,"mh":mh,"mu":mu,"gamma":gamma}
A = where((self.u>0),thermodyn.Aru(self.Rho(),self.u,thermopars),0)
return A
def P(self):
'''
Return the gas pressure of the model.
The output is an nx1 float array.
'''
gamma = self.unitsparameters.get('gamma')
xi = self.unitsparameters.get('xi')
ionisation = self.unitsparameters.get('ionisation')
mu = thermodyn.MeanWeight(xi,ionisation)
mh = ctes.PROTONMASS.into(self.localsystem_of_units)
k = ctes.BOLTZMANN.into(self.localsystem_of_units)
thermopars = {"k":k,"mh":mh,"mu":mu,"gamma":gamma}
P = where((self.u>0),thermodyn.Pru(self.Rho(),self.u,thermopars),0)
return P
def Tcool(self,coolingfile=None):
'''
Return the cooling time of the model.
The output is an nx1 float array.
'''
gamma = self.unitsparameters.get('gamma')
xi = self.unitsparameters.get('xi')
ionisation = self.unitsparameters.get('ionisation')
metalicity = self.unitsparameters.get('metalicity')
hubbleparam= self.unitsparameters.get('HubbleParam')
if coolingfile==None:
coolingfile = self.unitsparameters.get('coolingfile')
mu = thermodyn.MeanWeight(xi,ionisation)
mh = ctes.PROTONMASS.into(self.localsystem_of_units)
k = ctes.BOLTZMANN.into(self.localsystem_of_units)
try:
if self.hubbleparam != hubbleparam:
self.log.write("Warning (Tcool): using hubbleparam=%f, but self.hubbleparam=%f"%(hubbleparam,self.hubbleparam))
except:
pass
thermopars = {"k":k,"mh":mh,"mu":mu,"gamma":gamma,"Xi":xi,"metalicity":metalicity,"hubbleparam":hubbleparam}
tc,c = thermodyn.CoolingTime(self.Rho(),self.u,self.localsystem_of_units,thermopars,coolingfile)
tc = where(c,tc,0)
return tc
def Ne(self):
'''
Return the electron density of the model.
The output is an nx1 float array.
'''
xi = self.unitsparameters.get('xi')
ionisation = self.unitsparameters.get('ionisation')
mh = ctes.PROTONMASS.into(self.localsystem_of_units)
thermopars = {"mh":mh,"Xi":xi,"ionisation":ionisation}
ne = thermodyn.ElectronDensity(self.Rho(),thermopars)
return ne
def S(self):
'''
Return the `entropy` of the model, defined as
S = T * Ne^(1-gamma)
The output is an nx1 float array.
'''
gamma = self.unitsparameters.get('gamma')
s = self.T()*self.Ne()**(1.-gamma)
return s
def Lum(self):
'''
Return the luminosty of the model, defined as
Lum = m*u/Tcool = m*Lambda/rho
The output is an nx1 float array.
'''
Lum = self.mass*self.u/self.Tcool()
return Lum
####################################################################################################################################
#
# NBODY REDIRECTOR
#
####################################################################################################################################
if FORMATSDIR != None:
formatsfiles = glob.glob(os.path.join(FORMATSDIR,'*.py'))
def Nbody(*arg,**kw):
"""
The aim of this function is simply to return to the right class
"""
# default value
nb = None
if not kw.has_key('ftype'):
kw['ftype']='default'
# find the right file
formatfile = os.path.join(FORMATSDIR,"%s.py"%kw['ftype'])
try:
formatsfiles.index(formatfile)
except ValueError:
print "format %s is unknown !"%kw['ftype']
print "%s does not exists"%formatfile
sys.exit()
# this does not work, because NbodyDefault is unknown
#sys.path.append(FORMATSDIR)
#__import__(kw['ftype'],)
# instead, we use
execfile(formatfile)
# check class name
class_name = "Nbody_%s"%kw['ftype']
try:
dir().index(class_name)
except ValueError:
print "format %s is unknown !"%kw['ftype']
sys.exit()
## not very good
class_name = eval(class_name)
nb = class_name(*arg,**kw)
nb._formatfile = formatfile
return nb
diff --git a/scripts/gmkgmov b/scripts/gmkgmov
index 61e64b9..9860418 100755
--- a/scripts/gmkgmov
+++ b/scripts/gmkgmov
@@ -1,113 +1,113 @@
#!/usr/bin/env python
# -*- coding: iso-8859-1 -*-
import matplotlib
matplotlib.use('Agg')
from optparse import OptionParser
import os,sys
from pNbody import Mkgmov
from pNbody import mpi
def parse_options():
usage = "usage: %prog [options] file"
parser = OptionParser(usage=usage)
parser.add_option("-p",
action="store",
dest="parameterfile",
type="string",
default = None,
help="parameterfile file",
metavar=" FILE")
parser.add_option("--format",
action="store",
dest="format",
type="string",
default = None,
help="output file format",
metavar=" FILE")
parser.add_option("--imdir",
action="store",
dest="imdir",
type="string",
default = None,
help="outputdirectory for fits files",
metavar=" DIRECTORY")
parser.add_option("--pio",
action="store_true",
dest="pio",
default = False,
help="parallele io",
metavar=" BOOL")
parser.add_option("--compress",
action="store_true",
dest="compress",
default = True,
help="compress output files",
metavar=" BOOL")
(options, args) = parser.parse_args()
files = args
return files,options
#######################################################################
#
# M A I N
#
#######################################################################
files = None
movie = None
opt = None
if mpi.mpi_IsMaster():
##############################
# parse options and check dirs
##############################
files,opt = parse_options()
movie = Mkgmov.Movie(parameterfile=opt.parameterfile,format=opt.format,imdir=opt.imdir,timesteps=None,pio=opt.pio,compress=opt.compress)
# broadcast files and parameters
-files = mpi.mpi_bcast(files,root=0)
-opt = mpi.mpi_bcast(opt,root=0)
-movie = mpi.mpi_bcast(movie,root=0)
-
+files = mpi.mpi_bcast(files,root=0)
+opt = mpi.mpi_bcast(opt,root=0)
+movie = mpi.mpi_bcast(movie,root=0)
+sys.path = mpi.mpi_bcast(sys.path,root=0)
###################################################################################
###################################################################################
##
## main loop over all files
##
###################################################################################
###################################################################################
for ifile,file in enumerate(files):
movie.dumpimage(file=file)
diff --git a/src/treelib/treelib.c b/src/treelib/treelib.c
index 27048d8..34f87e7 100644
--- a/src/treelib/treelib.c
+++ b/src/treelib/treelib.c
@@ -1,3975 +1,3975 @@
#include
#include
#include "structmember.h"
#define FLOAT float
typedef long long peanokey;
#define MAXTOPNODES 200000
#define MAX_REAL_NUMBER 1e37
#define BITS_PER_DIMENSION 18
#define PEANOCELLS (((peanokey)1)<<(3*BITS_PER_DIMENSION))
#ifndef TWODIMS
#define NUMDIMS 3 /*!< For 3D-normalized kernel */
#define KERNEL_COEFF_1 2.546479089470 /*!< Coefficients for SPH spline kernel and its derivative */
#define KERNEL_COEFF_2 15.278874536822
#define KERNEL_COEFF_3 45.836623610466
#define KERNEL_COEFF_4 30.557749073644
#define KERNEL_COEFF_5 5.092958178941
#define KERNEL_COEFF_6 (-15.278874536822)
#define NORM_COEFF 4.188790204786 /*!< Coefficient for kernel normalization. Note: 4.0/3 * PI = 4.188790204786 */
#else
#define NUMDIMS 2 /*!< For 2D-normalized kernel */
#define KERNEL_COEFF_1 (5.0/7*2.546479089470) /*!< Coefficients for SPH spline kernel and its derivative */
#define KERNEL_COEFF_2 (5.0/7*15.278874536822)
#define KERNEL_COEFF_3 (5.0/7*45.836623610466)
#define KERNEL_COEFF_4 (5.0/7*30.557749073644)
#define KERNEL_COEFF_5 (5.0/7*5.092958178941)
#define KERNEL_COEFF_6 (5.0/7*(-15.278874536822))
#define NORM_COEFF M_PI /*!< Coefficient for kernel normalization. */
#endif
/******************************************************************************
SYSTEM
*******************************************************************************/
/*! returns the maximum of two double
*/
double dmax(double x, double y)
{
if(x > y)
return x;
else
return y;
}
/******************************************************************************
TREE STRUCTURE
*******************************************************************************/
struct global_data_all_processes
{
long long TotNumPart;
long long TotN_gas;
int MaxPart;
int MaxPartSph;
double SofteningTable[6];
double ForceSoftening[6];
double PartAllocFactor;
double TreeAllocFactor;
double ErrTolTheta;
double DesNumNgb;
double MaxNumNgbDeviation;
double MinGasHsmlFractional;
double MinGasHsml;
};
struct particle_data
{
FLOAT Pos[3]; /*!< particle position at its current time */
FLOAT Mass; /*!< particle mass */
FLOAT Vel[3]; /*!< particle velocity at its current time */
FLOAT GravAccel[3]; /*!< particle acceleration due to gravity */
FLOAT Potential; /*!< gravitational potential */
FLOAT OldAcc; /*!< magnitude of old gravitational force. Used in relative opening criterion */
int Type; /*!< flags particle type. 0=gas, 1=halo, 2=disk, 3=bulge, 4=stars, 5=bndry */
int Ti_endstep; /*!< marks start of current timestep of particle on integer timeline */
int Ti_begstep; /*!< marks end of current timestep of particle on integer timeline */
FLOAT Density;
FLOAT Observable;
};
struct topnode_exchange
{
peanokey Startkey;
int Count;
};
struct topnode_data
{
int Daughter; /*!< index of first daughter cell (out of 8) of top-level node */
int Pstart; /*!< for the present top-level node, this gives the index of the first node in the concatenated list of topnodes collected from all processors */
int Blocks; /*!< for the present top-level node, this gives the number of corresponding nodes in the concatenated list of topnodes collected from all processors */
int Leaf; /*!< if the node is a leaf, this gives its number when all leaves are traversed in Peano-Hilbert order */
peanokey Size; /*!< number of Peano-Hilbert mesh-cells represented by top-level node */
peanokey StartKey; /*!< first Peano-Hilbert key in top-level node */
long long Count; /*!< counts the number of particles in this top-level node */
};
typedef struct {
PyObject_HEAD
PyObject *first; /* first name */
PyObject *list;
int number;
/* allvars */
int Numnodestree;
int MaxNodes;
int NumPart;
int N_gas;
long long Ntype[6];
int ThisTask;
int NTask;
struct NODE *Nodes_base;
struct NODE *Nodes;
struct topnode_data *TopNodes;
peanokey *Key;
peanokey *KeySorted;
int *DomainNodeIndex;
struct global_data_all_processes All;
struct particle_data *P;
double DomainCorner[3];
double DomainCenter[3];
double DomainLen;
double DomainFac;
int NTopnodes;
int *Nextnode;
int *Father;
int NTopleaves;
/* allvars.c */
int NtypeLocal[6];
/* domain */
long long maxload, maxloadsph;
//int *list_NumPart;
//int *list_N_gas;
/* force */
int last;
/* ngb */
int *Ngblist;
} Tree;
/******************************************************************************
ENDRUN
*******************************************************************************/
/*! This function aborts the simulations. If a single processors wants an
* immediate termination, the function needs to be called with ierr>0. A
* bunch of MPI-error messages may also appear in this case. For ierr=0,
* MPI is gracefully cleaned up, but this requires that all processors
* call endrun().
*/
void endrun(Tree *self,int ierr)
{
if(ierr)
{
printf("task %d: endrun called with an error level of %d\n\n\n", self->ThisTask, ierr);
fflush(stdout);
//#ifdef DEBUG
// terminate_processes();
// raise(SIGABRT);
// sleep(60);
//#else
// MPI_Abort(MPI_COMM_WORLD, ierr);
//#endif
exit(0);
}
// MPI_Finalize();
exit(0);
};
/******************************************************************************
PEANO THINGS
*******************************************************************************/
static int quadrants[24][2][2][2] = {
/* rotx=0, roty=0-3 */
{{{0, 7}, {1, 6}}, {{3, 4}, {2, 5}}},
{{{7, 4}, {6, 5}}, {{0, 3}, {1, 2}}},
{{{4, 3}, {5, 2}}, {{7, 0}, {6, 1}}},
{{{3, 0}, {2, 1}}, {{4, 7}, {5, 6}}},
/* rotx=1, roty=0-3 */
{{{1, 0}, {6, 7}}, {{2, 3}, {5, 4}}},
{{{0, 3}, {7, 4}}, {{1, 2}, {6, 5}}},
{{{3, 2}, {4, 5}}, {{0, 1}, {7, 6}}},
{{{2, 1}, {5, 6}}, {{3, 0}, {4, 7}}},
/* rotx=2, roty=0-3 */
{{{6, 1}, {7, 0}}, {{5, 2}, {4, 3}}},
{{{1, 2}, {0, 3}}, {{6, 5}, {7, 4}}},
{{{2, 5}, {3, 4}}, {{1, 6}, {0, 7}}},
{{{5, 6}, {4, 7}}, {{2, 1}, {3, 0}}},
/* rotx=3, roty=0-3 */
{{{7, 6}, {0, 1}}, {{4, 5}, {3, 2}}},
{{{6, 5}, {1, 2}}, {{7, 4}, {0, 3}}},
{{{5, 4}, {2, 3}}, {{6, 7}, {1, 0}}},
{{{4, 7}, {3, 0}}, {{5, 6}, {2, 1}}},
/* rotx=4, roty=0-3 */
{{{6, 7}, {5, 4}}, {{1, 0}, {2, 3}}},
{{{7, 0}, {4, 3}}, {{6, 1}, {5, 2}}},
{{{0, 1}, {3, 2}}, {{7, 6}, {4, 5}}},
{{{1, 6}, {2, 5}}, {{0, 7}, {3, 4}}},
/* rotx=5, roty=0-3 */
{{{2, 3}, {1, 0}}, {{5, 4}, {6, 7}}},
{{{3, 4}, {0, 7}}, {{2, 5}, {1, 6}}},
{{{4, 5}, {7, 6}}, {{3, 2}, {0, 1}}},
{{{5, 2}, {6, 1}}, {{4, 3}, {7, 0}}}
};
static int rotxmap_table[24] = { 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 0, 1, 2, 3, 17, 18, 19, 16, 23, 20, 21, 22
};
static int rotymap_table[24] = { 1, 2, 3, 0, 16, 17, 18, 19,
11, 8, 9, 10, 22, 23, 20, 21, 14, 15, 12, 13, 4, 5, 6, 7
};
static int rotx_table[8] = { 3, 0, 0, 2, 2, 0, 0, 1 };
static int roty_table[8] = { 0, 1, 1, 2, 2, 3, 3, 0 };
static int sense_table[8] = { -1, -1, -1, +1, +1, -1, -1, -1 };
static int flag_quadrants_inverse = 1;
static char quadrants_inverse_x[24][8];
static char quadrants_inverse_y[24][8];
static char quadrants_inverse_z[24][8];
/*! This function computes a Peano-Hilbert key for an integer triplet (x,y,z),
* with x,y,z in the range between 0 and 2^bits-1.
*/
peanokey peano_hilbert_key(int x, int y, int z, int bits)
{
int i, quad, bitx, bity, bitz;
int mask, rotation, rotx, roty, sense;
peanokey key;
mask = 1 << (bits - 1);
key = 0;
rotation = 0;
sense = 1;
for(i = 0; i < bits; i++, mask >>= 1)
{
bitx = (x & mask) ? 1 : 0;
bity = (y & mask) ? 1 : 0;
bitz = (z & mask) ? 1 : 0;
quad = quadrants[rotation][bitx][bity][bitz];
key <<= 3;
key += (sense == 1) ? (quad) : (7 - quad);
rotx = rotx_table[quad];
roty = roty_table[quad];
sense *= sense_table[quad];
while(rotx > 0)
{
rotation = rotxmap_table[rotation];
rotx--;
}
while(roty > 0)
{
rotation = rotymap_table[rotation];
roty--;
}
}
return key;
}
/******************************************************************************
DOMAIN THINGS
*******************************************************************************/
#define REDUC_FAC 0.98
#define TOPNODEFACTOR 20.0
/*! This is a comparison kernel used in a sort routine.
*/
int domain_compare_toplist(const void *a, const void *b)
{
if(((struct topnode_exchange *) a)->Startkey < (((struct topnode_exchange *) b)->Startkey))
return -1;
if(((struct topnode_exchange *) a)->Startkey > (((struct topnode_exchange *) b)->Startkey))
return +1;
return 0;
}
/*! This is a comparison kernel used in a sort routine.
*/
int domain_compare_key(const void *a, const void *b)
{
if(*(peanokey *) a < *(peanokey *) b)
return -1;
if(*(peanokey *) a > *(peanokey *) b)
return +1;
return 0;
}
/*! This function walks the global top tree in order to establish the
* number of leaves it has. These leaves are distributed to different
* processors.
*/
void domain_walktoptree(Tree *self,int no)
{
int i;
if(self->TopNodes[no].Daughter == -1)
{
self->TopNodes[no].Leaf = self->NTopleaves;
self->NTopleaves++;
}
else
{
for(i = 0; i < 8; i++)
domain_walktoptree(self,self->TopNodes[no].Daughter + i);
}
}
/*! This function is responsible for constructing the local top-level
* Peano-Hilbert segments. A segment is cut into 8 pieces recursively
* until the number of particles in the segment has fallen below
* All.TotNumPart / (TOPNODEFACTOR * NTask * NTask).
*/
void domain_topsplit_local(Tree *self,int node, peanokey startkey)
{
int i, p, sub, bin;
if(self->TopNodes[node].Size >= 8)
{
self->TopNodes[node].Daughter = self->NTopnodes;
for(i = 0; i < 8; i++)
{
if(self->NTopnodes < MAXTOPNODES)
{
sub = self->TopNodes[node].Daughter + i;
self->TopNodes[sub].Size = self->TopNodes[node].Size / 8;
self->TopNodes[sub].Count = 0;
self->TopNodes[sub].Daughter = -1;
self->TopNodes[sub].StartKey = startkey + i * self->TopNodes[sub].Size;
self->TopNodes[sub].Pstart = self->TopNodes[node].Pstart;
self->NTopnodes++;
}
else
{
printf("task=%d: We are out of Topnodes. Increasing the constant MAXTOPNODES might help.\n",self->ThisTask);
fflush(stdout);
endrun(self,13213);
}
}
for(p = self->TopNodes[node].Pstart; p < self->TopNodes[node].Pstart + self->TopNodes[node].Count; p++)
{
bin = (self->KeySorted[p] - startkey) / (self->TopNodes[node].Size / 8);
if(bin < 0 || bin > 7)
{
printf("task=%d: something odd has happened here. bin=%d\n", self->ThisTask, bin);
fflush(stdout);
endrun(self,13123123);
}
sub = self->TopNodes[node].Daughter + bin;
if(self->TopNodes[sub].Count == 0)
self->TopNodes[sub].Pstart = p;
self->TopNodes[sub].Count++;
}
for(i = 0; i < 8; i++)
{
sub = self->TopNodes[node].Daughter + i;
if(self->TopNodes[sub].Count > self->All.TotNumPart / (TOPNODEFACTOR * self->NTask * self->NTask))
domain_topsplit_local(self,sub, self->TopNodes[sub].StartKey);
}
}
}
/*! This function constructs the global top-level tree node that is used
* for the domain decomposition. This is done by considering the string of
* Peano-Hilbert keys for all particles, which is recursively chopped off
* in pieces of eight segments until each segment holds at most a certain
* number of particles.
*/
void domain_determineTopTree(Tree *self)
{
int i, ntop_local, ntop;
int *ntopnodelist, *ntopoffset;
for(i = 0; i < self->NumPart; i++)
{
self->KeySorted[i] = self->Key[i] = peano_hilbert_key((self->P[i].Pos[0] - self->DomainCorner[0]) * self->DomainFac,
(self->P[i].Pos[1] - self->DomainCorner[1]) * self->DomainFac,
(self->P[i].Pos[2] - self->DomainCorner[2]) * self->DomainFac,
BITS_PER_DIMENSION);
}
qsort(self->KeySorted, self->NumPart, sizeof(peanokey), domain_compare_key);
self->NTopnodes = 1;
self->TopNodes[0].Daughter = -1;
self->TopNodes[0].Size = PEANOCELLS;
self->TopNodes[0].StartKey = 0;
self->TopNodes[0].Count = self->NumPart;
self->TopNodes[0].Pstart = 0;
domain_topsplit_local(self,0, 0);
/* the rest of the function is only used for parallelisme */
}
/*! This routine finds the extent of the global domain grid.
*/
void domain_findExtent(Tree *self)
{
int i, j;
double len, xmin[3], xmax[3], xmin_glob[3], xmax_glob[3];
/* determine local extension */
for(j = 0; j < 3; j++)
{
xmin[j] = MAX_REAL_NUMBER;
xmax[j] = -MAX_REAL_NUMBER;
}
for(i = 0; i < self->NumPart; i++)
{
for(j = 0; j < 3; j++)
{
if(xmin[j] > self->P[i].Pos[j])
xmin[j] = self->P[i].Pos[j];
if(xmax[j] < self->P[i].Pos[j])
xmax[j] = self->P[i].Pos[j];
}
}
//MPI_Allreduce(xmin, xmin_glob, 3, MPI_DOUBLE, MPI_MIN, MPI_COMM_WORLD);
//MPI_Allreduce(xmax, xmax_glob, 3, MPI_DOUBLE, MPI_MAX, MPI_COMM_WORLD);
for(j = 0; j < 3; j++)
{
xmin_glob[j] = xmin[j];
xmax_glob[j] = xmax[j];
}
len = 0;
for(j = 0; j < 3; j++)
if(xmax_glob[j] - xmin_glob[j] > len)
len = xmax_glob[j] - xmin_glob[j];
len *= 1.001;
for(j = 0; j < 3; j++)
{
self->DomainCenter[j] = 0.5 * (xmin_glob[j] + xmax_glob[j]);
self->DomainCorner[j] = 0.5 * (xmin_glob[j] + xmax_glob[j]) - 0.5 * len;
}
self->DomainLen = len;
self->DomainFac = 1.0 / len * (((peanokey) 1) << (BITS_PER_DIMENSION));
}
/*! This function carries out the actual domain decomposition for all
* particle types. It will try to balance the work-load for each domain,
* as estimated based on the P[i]-GravCost values. The decomposition will
* respect the maximum allowed memory-imbalance given by the value of
* PartAllocFactor.
*/
void domain_decompose(Tree *self)
{
int i, j, status;
int ngrp, task, partner, sendcount, recvcount;
long long sumtogo, sumload;
int maxload, *temp;
double sumwork, maxwork;
for(i = 0; i < 6; i++)
self->NtypeLocal[i] = 0;
for(i = 0; i < self->NumPart; i++)
self->NtypeLocal[self->P[i].Type]++;
/* because Ntype[] is of type `long long', we cannot do a simple
* MPI_Allreduce() to sum the total particle numbers
*/
//temp = malloc(NTask * 6 * sizeof(int));
//MPI_Allgather(NtypeLocal, 6, MPI_INT, temp, 6, MPI_INT, MPI_COMM_WORLD);
//for(i = 0; i < 6; i++)
// {
// Ntype[i] = 0;
// for(j = 0; j < NTask; j++)
// Ntype[i] += temp[j * 6 + i];
// }
//free(temp);
for(i = 0; i < 6; i++)
self->Ntype[i] = self->NtypeLocal[i];
for(i = 0; i < 6; i++)
if(self->Ntype[i] > 0)
break;
for(ngrp = i + 1; ngrp < 6; ngrp++)
{
if(self->Ntype[ngrp] > 0)
if(self->All.SofteningTable[ngrp] != self->All.SofteningTable[i])
{
if(self->ThisTask == 0)
{
fprintf(stdout, "Code was not compiled with UNEQUALSOFTENINGS, but some of the\n");
fprintf(stdout, "softening lengths are unequal nevertheless.\n");
fprintf(stdout, "This is not allowed.\n");
}
endrun(self,0);
}
}
/* determine global dimensions of domain grid */
domain_findExtent(self);
domain_determineTopTree(self);
}
/*! This is the main routine for the domain decomposition. It acts as a
* driver routine that allocates various temporary buffers, maps the
* particles back onto the periodic box if needed, and then does the
* domain decomposition, and a final Peano-Hilbert order of all particles
* as a tuning measure.
*/
void domain_Decomposition(Tree *self)
{
double t0, t1;
//#ifdef PMGRID
// if(All.PM_Ti_endstep == All.Ti_Current)
// {
// All.NumForcesSinceLastDomainDecomp = 1 + All.TotNumPart * All.TreeDomainUpdateFrequency;
// /* to make sure that we do a domain decomposition before the PM-force is evaluated.
// this is needed to make sure that the particles are wrapped into the box */
// }
//#endif
// /* Check whether it is really time for a new domain decomposition */
// if(All.NumForcesSinceLastDomainDecomp > All.TotNumPart * All.TreeDomainUpdateFrequency)
// {
// t0 = second();
#ifdef PERIODIC
do_box_wrapping(); /* map the particles back onto the box */
#endif
// All.NumForcesSinceLastDomainDecomp = 0;
// TreeReconstructFlag = 1; /* ensures that new tree will be constructed */
//if(self->ThisTask == 0)
//{
// printf("domain decomposition... \n");
// fflush(stdout);
// }
self->Key = malloc(sizeof(peanokey) * self->All.MaxPart);
self->KeySorted = malloc(sizeof(peanokey) * self->All.MaxPart);
// toGo = malloc(sizeof(int) * NTask * NTask);
// toGoSph = malloc(sizeof(int) * NTask * NTask);
// local_toGo = malloc(sizeof(int) * NTask);
// local_toGoSph = malloc(sizeof(int) * NTask);
// self->list_NumPart = malloc(sizeof(int) * self->NTask);
// self->list_N_gas = malloc(sizeof(int) * self->NTask);
// list_load = malloc(sizeof(int) * NTask);
// list_loadsph = malloc(sizeof(int) * NTask);
// list_work = malloc(sizeof(double) * NTask);
// MPI_Allgather(&NumPart, 1, MPI_INT, list_NumPart, 1, MPI_INT, MPI_COMM_WORLD);
// MPI_Allgather(&N_gas, 1, MPI_INT, list_N_gas, 1, MPI_INT, MPI_COMM_WORLD);
// self->list_NumPart[0] = self->NumPart;
// self->list_N_gas[0] = self->N_gas;
// self->maxload = self->All.MaxPart * REDUC_FAC;
// self->maxloadsph = self->All.MaxPartSph * REDUC_FAC;
domain_decompose(self);
// free(list_work);
// free(list_loadsph);
// free(list_load);
// free(self->list_N_gas);
// free(self->list_NumPart);
// free(local_toGoSph);
// free(local_toGo);
// free(toGoSph);
// free(toGo);
//if(self->ThisTask == 0)
//{
// printf("domain decomposition done. \n");
// fflush(stdout);
//}
// t1 = second();
// All.CPU_Domain += timediff(t0, t1);
#ifdef PEANOHILBERT
t0 = second();
peano_hilbert_order();
t1 = second();
All.CPU_Peano += timediff(t0, t1);
#endif
free(self->KeySorted);
free(self->Key);
// }
}
void domain_domainallocate(Tree *self)
{
self->TopNodes = malloc(MAXTOPNODES * sizeof(struct topnode_data));
self->DomainNodeIndex = malloc(MAXTOPNODES * sizeof(int));
}
/******************************************************************************
FORCE THINGS
*******************************************************************************/
struct NODE
{
FLOAT len; /*!< sidelength of treenode */
FLOAT center[3]; /*!< geometrical center of node */
union
{
int suns[8]; /*!< temporary pointers to daughter nodes */
struct
{
FLOAT s[3]; /*!< center of mass of node */
FLOAT mass; /*!< mass of node */
int bitflags; /*!< a bit-field with various information on the node */
int sibling; /*!< this gives the next node in the walk in case the current node can be used */
int nextnode; /*!< this gives the next node in case the current node needs to be opened */
int father; /*!< this gives the parent node of each node (or -1 if we have the root node) */
}
d;
}
u;
};
/*! This routine computes the gravitational force for a given local
* particle, or for a particle in the communication buffer. Depending on
* the value of TypeOfOpeningCriterion, either the geometrical BH
* cell-opening criterion, or the `relative' opening criterion is used.
*/
int force_treeevaluate_local(Tree* self,double pos_x, double pos_y, double pos_z, double h, double *acc_x, double *acc_y, double *acc_z)
{
struct NODE *nop = 0;
int no, ninteractions, ptype;
double r2, dx, dy, dz, mass, r, fac, u, h_inv, h3_inv;
#if defined(UNEQUALSOFTENINGS) && !defined(ADAPTIVE_GRAVSOFT_FORGAS)
int maxsofttype;
#endif
#ifdef ADAPTIVE_GRAVSOFT_FORGAS
double soft = 0;
#endif
#ifdef PERIODIC
double boxsize, boxhalf;
boxsize = All.BoxSize;
boxhalf = 0.5 * All.BoxSize;
#endif
*acc_x = 0;
*acc_y = 0;
*acc_z = 0;
ninteractions = 0;
ptype = 0; /* ????? */
h_inv = 1.0 / h;
h3_inv = h_inv * h_inv * h_inv;
//#ifndef UNEQUALSOFTENINGS
// h = All.ForceSoftening[ptype];
// h_inv = 1.0 / h;
// h3_inv = h_inv * h_inv * h_inv;
//#endif
no = self->All.MaxPart; /* root node */
while(no >= 0)
{
if(no < self->All.MaxPart) /* single particle */
{
/* the index of the node is the index of the particle */
/* observe the sign */
dx = self->P[no].Pos[0] - pos_x;
dy = self->P[no].Pos[1] - pos_y;
dz = self->P[no].Pos[2] - pos_z;
mass = self->P[no].Mass;
}
else
{
if(no >= self->All.MaxPart + self->MaxNodes) /* pseudo particle */
{
//if(mode == 0)
//{
// Exportflag[DomainTask[no - (All.MaxPart + MaxNodes)]] = 1;
//}
//no = Nextnode[no - MaxNodes];
//continue;
}
nop = &self->Nodes[no];
dx = nop->u.d.s[0] - pos_x;
dy = nop->u.d.s[1] - pos_y;
dz = nop->u.d.s[2] - pos_z;
mass = nop->u.d.mass;
}
#ifdef PERIODIC
dx = NEAREST(dx);
dy = NEAREST(dy);
dz = NEAREST(dz);
#endif
r2 = dx * dx + dy * dy + dz * dz;
if(no < self->All.MaxPart)
{
//#ifdef UNEQUALSOFTENINGS
//#ifdef ADAPTIVE_GRAVSOFT_FORGAS
// if(ptype == 0)
// h = soft;
// else
// h = All.ForceSoftening[ptype];
//
// if(P[no].Type == 0)
// {
// if(h < SphP[no].Hsml)
// h = SphP[no].Hsml;
// }
// else
// {
// if(h < All.ForceSoftening[P[no].Type])
// h = All.ForceSoftening[P[no].Type];
// }
//#else
// h = All.ForceSoftening[ptype];
// if(h < All.ForceSoftening[P[no].Type])
// h = All.ForceSoftening[P[no].Type];
//#endif
//#endif
no = self->Nextnode[no];
}
else /* we have an internal node. Need to check opening criterion */
{
// if(mode == 1)
// {
// if((nop->u.d.bitflags & 3) == 1) /* if it's a top-level node
// * which does not contain
// * local particles we can
// * continue to do a short-cut */
// {
// no = nop->u.d.sibling;
// continue;
// }
// }
// if(self->All.ErrTolTheta) /* check Barnes-Hut opening criterion */
{
if(nop->len * nop->len > r2 * self->All.ErrTolTheta * self->All.ErrTolTheta)
{
/* open cell */
no = nop->u.d.nextnode;
continue;
}
}
// else /* check relative opening criterion */
// {
// if(mass * nop->len * nop->len > r2 * r2 * aold)
// {
// /* open cell */
// no = nop->u.d.nextnode;
// continue;
// }
//
// /* check in addition whether we lie inside the cell */
//
// if(fabs(nop->center[0] - pos_x) < 0.60 * nop->len)
// {
// if(fabs(nop->center[1] - pos_y) < 0.60 * nop->len)
// {
// if(fabs(nop->center[2] - pos_z) < 0.60 * nop->len)
// {
// no = nop->u.d.nextnode;
// continue;
// }
// }
// }
// }
//#ifdef UNEQUALSOFTENINGS
//#ifndef ADAPTIVE_GRAVSOFT_FORGAS
// h = All.ForceSoftening[ptype];
// maxsofttype = (nop->u.d.bitflags >> 2) & 7;
// if(maxsofttype == 7) /* may only occur for zero mass top-level nodes */
// {
// if(mass > 0)
// endrun(986);
// no = nop->u.d.nextnode;
// continue;
// }
// else
// {
// if(h < All.ForceSoftening[maxsofttype])
// {
// h = All.ForceSoftening[maxsofttype];
// if(r2 < h * h)
// {
// if(((nop->u.d.bitflags >> 5) & 1)) /* bit-5 signals that there are particles of different softening in the node */
// {
// no = nop->u.d.nextnode;
// continue;
// }
// }
// }
// }
//#else
// if(ptype == 0)
// h = soft;
// else
// h = All.ForceSoftening[ptype];
//
// if(h < nop->maxsoft)
// {
// h = nop->maxsoft;
// if(r2 < h * h)
// {
// no = nop->u.d.nextnode;
// continue;
// }
// }
//#endif
//#endif
no = nop->u.d.sibling; /* ok, node can be used */
// if(mode == 1)
// {
// if(((nop->u.d.bitflags) & 1)) /* Bit 0 signals that this node belongs to top-level tree */
// continue;
// }
}
// r = sqrt(r2);
//
// if(r >= h)
// fac = mass / (r2 * r);
// else
// {
////#ifdef UNEQUALSOFTENINGS
//// h_inv = 1.0 / h;
//// h3_inv = h_inv * h_inv * h_inv;
////#endif
// u = r * h_inv;
// if(u < 0.5)
// fac = mass * h3_inv * (10.666666666667 + u * u * (32.0 * u - 38.4));
// else
// fac =
// mass * h3_inv * (21.333333333333 - 48.0 * u +
// 38.4 * u * u - 10.666666666667 * u * u * u - 0.066666666667 / (u * u * u));
// }
/* here we use a plummer softening */
if (r2>0)
{
fac = mass/pow(r2+h*h ,3.0/2.0);
*acc_x += dx * fac;
*acc_y += dy * fac;
*acc_z += dz * fac;
}
ninteractions++;
}
#ifdef PERIODIC
*ewaldcountsum += force_treeevaluate_ewald_correction(target, mode, pos_x, pos_y, pos_z, aold);
#endif
return ninteractions;
}
/*! This routine computes the gravitational potential by walking the
* tree. The same opening criteria is used as for the gravitational force
* walk.
*/
double force_treeevaluate_local_potential(Tree* self,double pos_x, double pos_y, double pos_z, double h)
{
struct NODE *nop = 0;
int no, ptype;
double r2, dx, dy, dz, mass, r, u, h_inv, wp;
double pot;
#if defined(UNEQUALSOFTENINGS) && !defined(ADAPTIVE_GRAVSOFT_FORGAS)
int maxsofttype;
#endif
//#ifdef ADAPTIVE_GRAVSOFT_FORGAS
// double soft = 0;
//#endif
#ifdef PERIODIC
double boxsize, boxhalf;
boxsize = All.BoxSize;
boxhalf = 0.5 * All.BoxSize;
#endif
pot = 0;
ptype = 0; /* ????? */
h_inv = 1.0 / h;
no = self->All.MaxPart;
while(no >= 0)
{
if(no < self->All.MaxPart) /* single particle */
{
/* the index of the node is the index of the particle */
/* observe the sign */
dx = self->P[no].Pos[0] - pos_x;
dy = self->P[no].Pos[1] - pos_y;
dz = self->P[no].Pos[2] - pos_z;
mass = self->P[no].Mass;
}
else
{
if(no >= self->All.MaxPart + self->MaxNodes) /* pseudo particle */
{
//if(mode == 0)
//{
// Exportflag[DomainTask[no - (All.MaxPart + MaxNodes)]] = 1;
//}
//no = Nextnode[no - MaxNodes];
//continue;
printf("force_treeevaluate_local_potential : pseudo particle !\n");
endrun(self,1234);
}
nop = &self->Nodes[no];
dx = nop->u.d.s[0] - pos_x;
dy = nop->u.d.s[1] - pos_y;
dz = nop->u.d.s[2] - pos_z;
mass = nop->u.d.mass;
}
#ifdef PERIODIC
dx = NEAREST(dx);
dy = NEAREST(dy);
dz = NEAREST(dz);
#endif
r2 = dx * dx + dy * dy + dz * dz;
if(no < self->All.MaxPart) /* single particle */
{
//#ifdef UNEQUALSOFTENINGS
//#ifdef ADAPTIVE_GRAVSOFT_FORGAS
// if(ptype == 0)
// h = soft;
// else
// h = All.ForceSoftening[ptype];
//
// if(P[no].Type == 0)
// {
// if(h < SphP[no].Hsml)
// h = SphP[no].Hsml;
// }
// else
// {
// if(h < All.ForceSoftening[P[no].Type])
// h = All.ForceSoftening[P[no].Type];
// }
//#else
// h = All.ForceSoftening[ptype];
// if(h < All.ForceSoftening[P[no].Type])
// h = All.ForceSoftening[P[no].Type];
//#endif
//#endif
no = self->Nextnode[no];
}
else /* we have an internal node. Need to check opening criterion */
{
// if(mode == 1)
// {
// if((nop->u.d.bitflags & 3) == 1) /* if it's a top-level node
// * which does not contain
// * local particles we can make
// * a short-cut
// */
// {
// no = nop->u.d.sibling;
// continue;
// }
// }
// if(self->All.ErrTolTheta) /* check Barnes-Hut opening criterion */
{
if(nop->len * nop->len > r2 * self->All.ErrTolTheta * self->All.ErrTolTheta)
{
/* open cell */
no = nop->u.d.nextnode;
continue;
}
}
// else /* check relative opening criterion */
// {
// if(mass * nop->len * nop->len > r2 * r2 * aold)
// {
// /* open cell */
// no = nop->u.d.nextnode;
// continue;
// }
//
// if(fabs(nop->center[0] - pos_x) < 0.60 * nop->len)
// {
// if(fabs(nop->center[1] - pos_y) < 0.60 * nop->len)
// {
// if(fabs(nop->center[2] - pos_z) < 0.60 * nop->len)
// {
// no = nop->u.d.nextnode;
// continue;
// }
// }
// }
// }
//#ifdef UNEQUALSOFTENINGS
//#ifndef ADAPTIVE_GRAVSOFT_FORGAS
// h = All.ForceSoftening[ptype];
// maxsofttype = (nop->u.d.bitflags >> 2) & 7;
// if(maxsofttype == 7) /* may only occur for zero mass top-level nodes */
// {
// if(mass > 0)
// endrun(988);
// no = nop->u.d.nextnode;
// continue;
// }
// else
// {
// if(h < All.ForceSoftening[maxsofttype])
// {
// h = All.ForceSoftening[maxsofttype];
// if(r2 < h * h)
// {
// if(((nop->u.d.bitflags >> 5) & 1)) /* bit-5 signals that there are particles of different softening in the node */
// {
// no = nop->u.d.nextnode;
// continue;
// }
// }
// }
// }
//#else
// if(ptype == 0)
// h = soft;
// else
// h = All.ForceSoftening[ptype];
//
// if(h < nop->maxsoft)
// {
// h = nop->maxsoft;
// if(r2 < h * h)
// {
// no = nop->u.d.nextnode;
// continue;
// }
// }
//#endif
//#endif
no = nop->u.d.sibling; /* node can be used */
// if(mode == 1)
// {
// if(((nop->u.d.bitflags) & 1)) /* Bit 0 signals that this node belongs to top-level tree */
// continue;
// }
}
// r = sqrt(r2);
//
// if(r >= h)
// pot -= mass / r;
// else
// {
////#ifdef UNEQUALSOFTENINGS
//// h_inv = 1.0 / h;
////#endif
// u = r * h_inv;
//
// if(u < 0.5)
// wp = -2.8 + u * u * (5.333333333333 + u * u * (6.4 * u - 9.6));
// else
// wp =
// -3.2 + 0.066666666667 / u + u * u * (10.666666666667 +
// u * (-16.0 + u * (9.6 - 2.133333333333 * u)));
//
// pot += mass * h_inv * wp;
//
// }
/* here we use a plummer softening */
if (r2>0)
pot += -mass / sqrt(r2+h*h);
#ifdef PERIODIC
pot += mass * ewald_pot_corr(dx, dy, dz);
#endif
}
/* return result */
return pot;
}
/*! This function flags nodes in the top-level tree that are dependent on
* local particle data.
*/
void force_flag_localnodes(Tree *self)
{
int no, i;
/* mark all top-level nodes */
for(i = 0; i < self->NTopleaves; i++)
{
no = self->DomainNodeIndex[i];
while(no >= 0)
{
if((self->Nodes[no].u.d.bitflags & 1))
break;
self->Nodes[no].u.d.bitflags |= 1;
no = self->Nodes[no].u.d.father;
}
}
/* mark top-level nodes that contain local particles */
//for(i = DomainMyStart; i <= DomainMyLast; i++) /* !!! warning !!! */
for(i = 0; i < self->NTopleaves; i++)
{
/*
if(DomainMoment[i].mass > 0)
*/
{
no = self->DomainNodeIndex[i];
while(no >= 0)
{
if((self->Nodes[no].u.d.bitflags & 2))
break;
self->Nodes[no].u.d.bitflags |= 2;
no = self->Nodes[no].u.d.father;
}
}
}
}
/*! this routine determines the multipole moments for a given internal node
* and all its subnodes using a recursive computation. The result is
* stored in the Nodes[] structure in the sequence of this tree-walk.
*
* Note that the bitflags-variable for each node is used to store in the
* lowest bits some special information: Bit 0 flags whether the node
* belongs to the top-level tree corresponding to the domain
* decomposition, while Bit 1 signals whether the top-level node is
* dependent on local mass.
*
* If UNEQUALSOFTENINGS is set, bits 2-4 give the particle type with
* the maximum softening among the particles in the node, and bit 5
* flags whether the node contains any particles with lower softening
* than that.
*/
void force_update_node_recursive(Tree *self,int no, int sib, int father)
{
int j, jj, p, pp, nextsib, suns[8];
FLOAT hmax;
//#ifdef UNEQUALSOFTENINGS
//#ifndef ADAPTIVE_GRAVSOFT_FORGAS
int maxsofttype, diffsoftflag;
//#else
//FLOAT maxsoft;
//#endif
//#endif
struct particle_data *pa;
double s[3], vs[3], mass;
if(no >= self->All.MaxPart && no < self->All.MaxPart + self->MaxNodes) /* internal node */
{
for(j = 0; j < 8; j++)
suns[j] = self->Nodes[no].u.suns[j]; /* this "backup" is necessary because the nextnode entry will
overwrite one element (union!) */
if(self->last >= 0)
{
if(self->last >= self->All.MaxPart)
{
if(self->last >= self->All.MaxPart + self->MaxNodes) /* a pseudo-particle */
self->Nextnode[self->last - self->MaxNodes] = no;
else
self->Nodes[self->last].u.d.nextnode = no;
}
else
self->Nextnode[self->last] = no;
}
self->last = no;
mass = 0;
s[0] = 0;
s[1] = 0;
s[2] = 0;
vs[0] = 0;
vs[1] = 0;
vs[2] = 0;
hmax = 0;
//#ifdef UNEQUALSOFTENINGS
//#ifndef ADAPTIVE_GRAVSOFT_FORGAS
maxsofttype = 7;
diffsoftflag = 0;
//#else
// maxsoft = 0;
//#endif
//#endif
for(j = 0; j < 8; j++)
{
if((p = suns[j]) >= 0)
{
/* check if we have a sibling on the same level */
for(jj = j + 1; jj < 8; jj++)
if((pp = suns[jj]) >= 0)
break;
if(jj < 8) /* yes, we do */
nextsib = pp;
else
nextsib = sib;
force_update_node_recursive(self,p, nextsib, no);
if(p >= self->All.MaxPart) /* an internal node or pseudo particle */
{
if(p >= self->All.MaxPart + self->MaxNodes) /* a pseudo particle */
{
/* nothing to be done here because the mass of the
* pseudo-particle is still zero. This will be changed
* later.
*/
}
else
{
mass += self->Nodes[p].u.d.mass;
s[0] += self->Nodes[p].u.d.mass * self->Nodes[p].u.d.s[0];
s[1] += self->Nodes[p].u.d.mass * self->Nodes[p].u.d.s[1];
s[2] += self->Nodes[p].u.d.mass * self->Nodes[p].u.d.s[2];
//vs[0] += self->Nodes[p].u.d.mass * self->Extnodes[p].vs[0];
//vs[1] += self->Nodes[p].u.d.mass * self->Extnodes[p].vs[1];
//vs[2] += self->Nodes[p].u.d.mass * self->Extnodes[p].vs[2];
//if(Extnodes[p].hmax > hmax)
// hmax = Extnodes[p].hmax;
//#ifdef UNEQUALSOFTENINGS
//#ifndef ADAPTIVE_GRAVSOFT_FORGAS
diffsoftflag |= (self->Nodes[p].u.d.bitflags >> 5) & 1;
if(maxsofttype == 7)
{
maxsofttype = (self->Nodes[p].u.d.bitflags >> 2) & 7;
}
else
{
if(((self->Nodes[p].u.d.bitflags >> 2) & 7) != 7)
{
if(self->All.ForceSoftening[((self->Nodes[p].u.d.bitflags >> 2) & 7)] >
self->All.ForceSoftening[maxsofttype])
{
maxsofttype = ((self->Nodes[p].u.d.bitflags >> 2) & 7);
diffsoftflag = 1;
}
else
{
if(self->All.ForceSoftening[((self->Nodes[p].u.d.bitflags >> 2) & 7)] <
self->All.ForceSoftening[maxsofttype])
diffsoftflag = 1;
}
}
}
//#else
// if(self->Nodes[p].maxsoft > maxsoft)
// maxsoft = Nodes[p].maxsoft;
//#endif
//#endif
}
}
else /* a particle */
{
pa = &self->P[p];
mass += pa->Mass;
s[0] += pa->Mass * pa->Pos[0];
s[1] += pa->Mass * pa->Pos[1];
s[2] += pa->Mass * pa->Pos[2];
vs[0] += pa->Mass * pa->Vel[0];
vs[1] += pa->Mass * pa->Vel[1];
vs[2] += pa->Mass * pa->Vel[2];
//#ifdef UNEQUALSOFTENINGS
//#ifndef ADAPTIVE_GRAVSOFT_FORGAS
if(maxsofttype == 7)
{
maxsofttype = pa->Type;
}
else
{
if(self->All.ForceSoftening[pa->Type] > self->All.ForceSoftening[maxsofttype])
{
maxsofttype = pa->Type;
diffsoftflag = 1;
}
else
{
if(self->All.ForceSoftening[pa->Type] < self->All.ForceSoftening[maxsofttype])
diffsoftflag = 1;
}
}
//#else
// if(pa->Type == 0)
// {
// if(SphP[p].Hsml > maxsoft)
// maxsoft = SphP[p].Hsml;
// }
// else
// {
// if(All.ForceSoftening[pa->Type] > maxsoft)
// maxsoft = All.ForceSoftening[pa->Type];
// }
//#endif
//#endif
// if(pa->Type == 0)
// if(SphP[p].Hsml > hmax)
// hmax = SphP[p].Hsml;
}
}
}
if(mass)
{
s[0] /= mass;
s[1] /= mass;
s[2] /= mass;
vs[0] /= mass;
vs[1] /= mass;
vs[2] /= mass;
}
else
{
s[0] = self->Nodes[no].center[0];
s[1] = self->Nodes[no].center[1];
s[2] = self->Nodes[no].center[2];
}
self->Nodes[no].u.d.s[0] = s[0];
self->Nodes[no].u.d.s[1] = s[1];
self->Nodes[no].u.d.s[2] = s[2];
self->Nodes[no].u.d.mass = mass;
//#ifdef UNEQUALSOFTENINGS
//#ifndef ADAPTIVE_GRAVSOFT_FORGAS
self->Nodes[no].u.d.bitflags = 4 * maxsofttype + 32 * diffsoftflag;
//#else
// self->Nodes[no].u.d.bitflags = 0;
// self->Nodes[no].maxsoft = maxsoft;
//#endif
//#else
// Nodes[no].u.d.bitflags = 0;
//#endif
//Extnodes[no].vs[0] = vs[0];
//Extnodes[no].vs[1] = vs[1];
//Extnodes[no].vs[2] = vs[2];
//Extnodes[no].hmax = hmax;
self->Nodes[no].u.d.sibling = sib;
self->Nodes[no].u.d.father = father;
}
else /* single particle or pseudo particle */
{
if(self->last >= 0)
{
if(self->last >= self->All.MaxPart)
{
if(self->last >= self->All.MaxPart + self->MaxNodes) /* a pseudo-particle */
self->Nextnode[self->last - self->MaxNodes] = no;
else
self->Nodes[self->last].u.d.nextnode = no;
}
else
self->Nextnode[self->last] = no;
}
self->last = no;
if(no < self->All.MaxPart) /* only set it for single particles */
self->Father[no] = father;
}
}
/*! This function recursively creates a set of empty tree nodes which
* corresponds to the top-level tree for the domain grid. This is done to
* ensure that this top-level tree is always "complete" so that we can
* easily associate the pseudo-particles of other CPUs with tree-nodes at
* a given level in the tree, even when the particle population is so
* sparse that some of these nodes are actually empty.
*/
void force_create_empty_nodes(Tree *self,int no, int topnode, int bits, int x, int y, int z, int *nodecount,
int *nextfree)
{
int i, j, k, n, sub, count;
if(self->TopNodes[topnode].Daughter >= 0)
{
for(i = 0; i < 2; i++)
for(j = 0; j < 2; j++)
for(k = 0; k < 2; k++)
{
sub = 7 & peano_hilbert_key((x << 1) + i, (y << 1) + j, (z << 1) + k, bits);
count = i + 2 * j + 4 * k;
self->Nodes[no].u.suns[count] = *nextfree;
self->Nodes[*nextfree].len = 0.5 * self->Nodes[no].len;
self->Nodes[*nextfree].center[0] = self->Nodes[no].center[0] + (2 * i - 1) * 0.25 * self->Nodes[no].len;
self->Nodes[*nextfree].center[1] = self->Nodes[no].center[1] + (2 * j - 1) * 0.25 * self->Nodes[no].len;
self->Nodes[*nextfree].center[2] = self->Nodes[no].center[2] + (2 * k - 1) * 0.25 * self->Nodes[no].len;
for(n = 0; n < 8; n++)
self->Nodes[*nextfree].u.suns[n] = -1;
if(self->TopNodes[self->TopNodes[topnode].Daughter + sub].Daughter == -1)
self->DomainNodeIndex[self->TopNodes[self->TopNodes[topnode].Daughter + sub].Leaf] = *nextfree;
*nextfree = *nextfree + 1;
*nodecount = *nodecount + 1;
if((*nodecount) >= self->MaxNodes)
{
printf("task %d: maximum number %d of tree-nodes reached.\n", self->ThisTask, self->MaxNodes);
printf("in create empty nodes\n");
//dump_particles();
endrun(self,11);
}
force_create_empty_nodes(self,*nextfree - 1, self->TopNodes[topnode].Daughter + sub,
bits + 1, 2 * x + i, 2 * y + j, 2 * z + k, nodecount, nextfree);
}
}
}
/*! Constructs the gravitational oct-tree.
*
* The index convention for accessing tree nodes is the following: the
* indices 0...NumPart-1 reference single particles, the indices
* All.MaxPart.... All.MaxPart+nodes-1 reference tree nodes. `Nodes_base'
* points to the first tree node, while `nodes' is shifted such that
* nodes[All.MaxPart] gives the first tree node. Finally, node indices
* with values 'All.MaxPart + MaxNodes' and larger indicate "pseudo
* particles", i.e. multipole moments of top-level nodes that lie on
* different CPUs. If such a node needs to be opened, the corresponding
* particle must be exported to that CPU. The 'Extnodes' structure
* parallels that of 'Nodes'. Its information is only needed for the SPH
* part of the computation. (The data is split onto these two structures
* as a tuning measure. If it is merged into 'Nodes' a somewhat bigger
* size of the nodes also for gravity would result, which would reduce
* cache utilization slightly.
*/
int force_treebuild_single(Tree *self,int npart)
{
int i, j, subnode = 0, parent, numnodes;
int nfree, th, nn, no;
struct NODE *nfreep;
double lenhalf, epsilon;
peanokey key;
/* create an empty root node */
nfree = self->All.MaxPart; /* index of first free node */
nfreep = &self->Nodes[nfree]; /* select first node */
nfreep->len = self->DomainLen;
for(j = 0; j < 3; j++)
nfreep->center[j] = self->DomainCenter[j];
for(j = 0; j < 8; j++)
nfreep->u.suns[j] = -1;
numnodes = 1;
nfreep++;
nfree++;
/* create a set of empty nodes corresponding to the top-level domain
* grid. We need to generate these nodes first to make sure that we have a
* complete top-level tree which allows the easy insertion of the
* pseudo-particles at the right place
*/
force_create_empty_nodes(self,self->All.MaxPart, 0, 1, 0, 0, 0, &numnodes, &nfree);
/* if a high-resolution region in a global tree is used, we need to generate
* an additional set empty nodes to make sure that we have a complete
* top-level tree for the high-resolution inset
*/
nfreep = &self->Nodes[nfree];
parent = -1; /* note: will not be used below before it is changed */
/* now we insert all particles */
for(i = 0; i < npart; i++)
{
/* the softening is only used to check whether particles are so close
* that the tree needs not to be refined further
*/
epsilon = self->All.ForceSoftening[self->P[i].Type];
key = peano_hilbert_key((self->P[i].Pos[0] - self->DomainCorner[0]) * self->DomainFac,
(self->P[i].Pos[1] - self->DomainCorner[1]) * self->DomainFac,
(self->P[i].Pos[2] - self->DomainCorner[2]) * self->DomainFac, BITS_PER_DIMENSION);
no = 0;
while(self->TopNodes[no].Daughter >= 0)
no = self->TopNodes[no].Daughter + (key - self->TopNodes[no].StartKey) / (self->TopNodes[no].Size / 8);
no = self->TopNodes[no].Leaf;
th = self->DomainNodeIndex[no];
while(1)
{
if(th >= self->All.MaxPart) /* we are dealing with an internal node */
{
subnode = 0;
if(self->P[i].Pos[0] > self->Nodes[th].center[0])
subnode += 1;
if(self->P[i].Pos[1] > self->Nodes[th].center[1])
subnode += 2;
if(self->P[i].Pos[2] > self->Nodes[th].center[2])
subnode += 4;
nn = self->Nodes[th].u.suns[subnode];
if(nn >= 0) /* ok, something is in the daughter slot already, need to continue */
{
parent = th;
th = nn;
}
else
{
/* here we have found an empty slot where we can attach
* the new particle as a leaf.
*/
self->Nodes[th].u.suns[subnode] = i;
break; /* done for this particle */
}
}
else
{
/* We try to insert into a leaf with a single particle. Need
* to generate a new internal node at this point.
*/
self->Nodes[parent].u.suns[subnode] = nfree;
nfreep->len = 0.5 * self->Nodes[parent].len;
lenhalf = 0.25 * self->Nodes[parent].len;
if(subnode & 1)
nfreep->center[0] = self->Nodes[parent].center[0] + lenhalf;
else
nfreep->center[0] = self->Nodes[parent].center[0] - lenhalf;
if(subnode & 2)
nfreep->center[1] = self->Nodes[parent].center[1] + lenhalf;
else
nfreep->center[1] = self->Nodes[parent].center[1] - lenhalf;
if(subnode & 4)
nfreep->center[2] = self->Nodes[parent].center[2] + lenhalf;
else
nfreep->center[2] = self->Nodes[parent].center[2] - lenhalf;
nfreep->u.suns[0] = -1;
nfreep->u.suns[1] = -1;
nfreep->u.suns[2] = -1;
nfreep->u.suns[3] = -1;
nfreep->u.suns[4] = -1;
nfreep->u.suns[5] = -1;
nfreep->u.suns[6] = -1;
nfreep->u.suns[7] = -1;
subnode = 0;
if(self->P[th].Pos[0] > nfreep->center[0])
subnode += 1;
if(self->P[th].Pos[1] > nfreep->center[1])
subnode += 2;
if(self->P[th].Pos[2] > nfreep->center[2])
subnode += 4;
//#ifndef NOTREERND
// if(nfreep->len < 1.0e-3 * epsilon)
// {
// /* seems like we're dealing with particles at identical (or extremely close)
// * locations. Randomize subnode index to allow tree construction. Note: Multipole moments
// * of tree are still correct, but this will only happen well below gravitational softening
// * length-scale anyway.
// */
// subnode = (int) (8.0 * get_random_number((0xffff & P[i].ID) + P[i].GravCost));
// self->P[i].GravCost += 1;
// if(subnode >= 8)
// subnode = 7;
// }
//#endif
nfreep->u.suns[subnode] = th;
th = nfree; /* resume trying to insert the new particle at
* the newly created internal node
*/
numnodes++;
nfree++;
nfreep++;
if((numnodes) >= self->MaxNodes)
{
printf("task %d: maximum number %d of tree-nodes reached.\n", self->ThisTask, self->MaxNodes);
printf("for particle %d\n", i);
//dump_particles();
endrun(self,1);
}
}
}
}
/* insert the pseudo particles that represent the mass distribution of other domains */
//force_insert_pseudo_particles();
/* now compute the multipole moments recursively */
self->last = -1;
force_update_node_recursive(self,self->All.MaxPart, -1, -1);
if(self->last >= self->All.MaxPart)
{
if(self->last >= self->All.MaxPart + self->MaxNodes) /* a pseudo-particle */
self->Nextnode[self->last - self->MaxNodes] = -1;
else
self->Nodes[self->last].u.d.nextnode = -1;
}
else
self->Nextnode[self->last] = -1;
return numnodes;
}
/*! This function is a driver routine for constructing the gravitational
* oct-tree, which is done by calling a small number of other functions.
*/
int force_treebuild(Tree *self,int npart)
{
self->Numnodestree = force_treebuild_single(self,npart);
//force_update_pseudoparticles();
force_flag_localnodes(self);
return self->Numnodestree;
}
/*! This function allocates the memory used for storage of the tree and of
* auxiliary arrays needed for tree-walk and link-lists. Usually,
* maxnodes approximately equal to 0.7*maxpart is sufficient to store the
* tree for up to maxpart particles.
*/
void force_treeallocate(Tree *self,int maxnodes, int maxpart)
{
int i;
size_t bytes;
double allbytes = 0;
double u;
self->MaxNodes = maxnodes;
if(!(self->Nodes_base = malloc(bytes = (self->MaxNodes + 1) * sizeof(struct NODE))))
{
printf("failed to allocate memory for %d tree-nodes (%g MB).\n", self->MaxNodes, bytes / (1024.0 * 1024.0));
endrun(self,3);
}
allbytes += bytes;
self->Nodes = self->Nodes_base - self->All.MaxPart;
if(!(self->Nextnode = malloc(bytes = (maxpart + MAXTOPNODES) * sizeof(int))))
{
printf("Failed to allocate %d spaces for 'Nextnode' array (%g MB)\n", maxpart + MAXTOPNODES,
bytes / (1024.0 * 1024.0));
exit(0);
}
allbytes += bytes;
if(!(self->Father = malloc(bytes = (maxpart) * sizeof(int))))
{
printf("Failed to allocate %d spaces for 'Father' array (%g MB)\n", maxpart, bytes / (1024.0 * 1024.0));
exit(0);
}
allbytes += bytes;
}
/******************************************************************************
NGB THINGS
*******************************************************************************/
#define MAX_NGB 20000 /*!< defines maximum length of neighbour list */
/*! Allocates memory for the neighbour list buffer.
*/
void ngb_treeallocate(Tree *self,int npart)
{
double totbytes = 0;
size_t bytes;
#ifdef PERIODIC
boxSize = All.BoxSize;
boxHalf = 0.5 * All.BoxSize;
#ifdef LONG_X
boxHalf_X = boxHalf * LONG_X;
boxSize_X = boxSize * LONG_X;
#endif
#ifdef LONG_Y
boxHalf_Y = boxHalf * LONG_Y;
boxSize_Y = boxSize * LONG_Y;
#endif
#ifdef LONG_Z
boxHalf_Z = boxHalf * LONG_Z;
boxSize_Z = boxSize * LONG_Z;
#endif
#endif
if(!(self->Ngblist = malloc(bytes = npart * (long) sizeof(int))))
{
printf("Failed to allocate %g MB for ngblist array\n", bytes / (1024.0 * 1024.0));
endrun(self,78);
}
totbytes += bytes;
//if(self->ThisTask == 0)
// printf("allocated %g Mbyte for ngb search.\n", totbytes / (1024.0 * 1024.0));
}
/*! The buffer for the neighbour list has a finite length MAX_NGB. For a large
* search region, this buffer can get full, in which case this routine can be
* called to eliminate some of the superfluous particles in the "corners" of
* the search box - only the ones in the inscribed sphere need to be kept.
*/
int ngb_clear_buf(Tree *self,FLOAT searchcenter[3], FLOAT hsml, int numngb)
{
int i, p;
FLOAT dx, dy, dz, r2;
#ifdef PERIODIC
double xtmp;
#endif
for(i = 0; i < numngb; i++)
{
p = self->Ngblist[i];
#ifdef PERIODIC
dx = NGB_PERIODIC_X(self->P[p].Pos[0] - searchcenter[0]);
dy = NGB_PERIODIC_Y(self->P[p].Pos[1] - searchcenter[1]);
dz = NGB_PERIODIC_Z(self->P[p].Pos[2] - searchcenter[2]);
#else
dx = self->P[p].Pos[0] - searchcenter[0];
dy = self->P[p].Pos[1] - searchcenter[1];
dz = self->P[p].Pos[2] - searchcenter[2];
#endif
r2 = dx * dx + dy * dy + dz * dz;
if(r2 > hsml * hsml)
{
self->Ngblist[i] = self->Ngblist[numngb - 1];
i--;
numngb--;
}
}
return numngb;
}
/*! This function returns neighbours with distance <= hsml and returns them in
* Ngblist. Actually, particles in a box of half side length hsml are
* returned, i.e. the reduction to a sphere still needs to be done in the
* calling routine.
*/
int ngb_treefind_variable(Tree *self,FLOAT searchcenter[3], FLOAT hsml, int *startnode)
{
int k, numngb;
int no, p;
struct NODE *this;
FLOAT searchmin[3], searchmax[3];
#ifdef PERIODIC
double xtmp;
#endif
for(k = 0; k < 3; k++) /* cube-box window */
{
searchmin[k] = searchcenter[k] - hsml;
searchmax[k] = searchcenter[k] + hsml;
}
numngb = 0;
no = *startnode;
while(no >= 0)
{
if(no < self->All.MaxPart) /* single particle */
{
p = no;
no = self->Nextnode[no];
if(self->P[p].Type > 0)
continue;
#ifdef PERIODIC
if(NGB_PERIODIC_X(P[p].Pos[0] - searchcenter[0]) < -hsml)
continue;
if(NGB_PERIODIC_X(P[p].Pos[0] - searchcenter[0]) > hsml)
continue;
if(NGB_PERIODIC_Y(P[p].Pos[1] - searchcenter[1]) < -hsml)
continue;
if(NGB_PERIODIC_Y(P[p].Pos[1] - searchcenter[1]) > hsml)
continue;
if(NGB_PERIODIC_Z(P[p].Pos[2] - searchcenter[2]) < -hsml)
continue;
if(NGB_PERIODIC_Z(P[p].Pos[2] - searchcenter[2]) > hsml)
continue;
#else
if(self->P[p].Pos[0] < searchmin[0])
continue;
if(self->P[p].Pos[0] > searchmax[0])
continue;
if(self->P[p].Pos[1] < searchmin[1])
continue;
if(self->P[p].Pos[1] > searchmax[1])
continue;
if(self->P[p].Pos[2] < searchmin[2])
continue;
if(self->P[p].Pos[2] > searchmax[2])
continue;
#endif
self->Ngblist[numngb++] = p;
if(numngb == MAX_NGB)
{
numngb = ngb_clear_buf(self,searchcenter, hsml, numngb);
if(numngb == MAX_NGB)
{
printf("ThisTask=%d: Need to do a second neighbour loop for (%g|%g|%g) hsml=%g no=%d\n",
self->ThisTask, searchcenter[0], searchcenter[1], searchcenter[2], hsml, no);
*startnode = no;
return numngb;
}
}
}
else
{
if(no >= self->All.MaxPart + self->MaxNodes) /* pseudo particle */
{
//Exportflag[DomainTask[no - (self->MaxPart + self->MaxNodes)]] = 1;
no = self->Nextnode[no - self->MaxNodes];
continue;
}
this = &self->Nodes[no];
no = this->u.d.sibling; /* in case the node can be discarded */
#ifdef PERIODIC
if((NGB_PERIODIC_X(this->center[0] - searchcenter[0]) + 0.5 * this->len) < -hsml)
continue;
if((NGB_PERIODIC_X(this->center[0] - searchcenter[0]) - 0.5 * this->len) > hsml)
continue;
if((NGB_PERIODIC_Y(this->center[1] - searchcenter[1]) + 0.5 * this->len) < -hsml)
continue;
if((NGB_PERIODIC_Y(this->center[1] - searchcenter[1]) - 0.5 * this->len) > hsml)
continue;
if((NGB_PERIODIC_Z(this->center[2] - searchcenter[2]) + 0.5 * this->len) < -hsml)
continue;
if((NGB_PERIODIC_Z(this->center[2] - searchcenter[2]) - 0.5 * this->len) > hsml)
continue;
#else
if((this->center[0] + 0.5 * this->len) < (searchmin[0]))
continue;
if((this->center[0] - 0.5 * this->len) > (searchmax[0]))
continue;
if((this->center[1] + 0.5 * this->len) < (searchmin[1]))
continue;
if((this->center[1] - 0.5 * this->len) > (searchmax[1]))
continue;
if((this->center[2] + 0.5 * this->len) < (searchmin[2]))
continue;
if((this->center[2] - 0.5 * this->len) > (searchmax[2]))
continue;
#endif
no = this->u.d.nextnode; /* ok, we need to open the node */
}
}
*startnode = -1;
return numngb;
}
/******************************************************************************
DENSITY THINGS
*******************************************************************************/
#define MAXITER 150
/*! This function return the number of neighbors in a radius h
* around position Pos
* (Yves Revaz)
*/
double density_numngb_evaluate(Tree* self,FLOAT Pos[3],FLOAT Vel[3],double h)
{
int j, n, startnode, numngb, numngb_inbox;
double h2, fac, hinv, hinv3, hinv4;
double rho, divv, wk, dwk;
double dx, dy, dz, r, r2, u, mass_j;
double dvx, dvy, dvz, rotv[3];
double weighted_numngb, dhsmlrho;
FLOAT *pos, *vel;
pos = Pos;
vel = Vel;
h2 = h * h;
hinv = 1.0 / h;
rho = divv = rotv[0] = rotv[1] = rotv[2] = 0;
weighted_numngb = 0;
dhsmlrho = 0;
startnode = self->All.MaxPart;
numngb = 0;
do
{
numngb_inbox = ngb_treefind_variable(self,&pos[0], h, &startnode);
for(n = 0; n < numngb_inbox; n++)
{
j = self->Ngblist[n];
dx = pos[0] - self->P[j].Pos[0];
dy = pos[1] - self->P[j].Pos[1];
dz = pos[2] - self->P[j].Pos[2];
#ifdef PERIODIC /* now find the closest image in the given box size */
if(dx > boxHalf_X)
dx -= boxSize_X;
if(dx < -boxHalf_X)
dx += boxSize_X;
if(dy > boxHalf_Y)
dy -= boxSize_Y;
if(dy < -boxHalf_Y)
dy += boxSize_Y;
if(dz > boxHalf_Z)
dz -= boxSize_Z;
if(dz < -boxHalf_Z)
dz += boxSize_Z;
#endif
r2 = dx * dx + dy * dy + dz * dz;
if(r2 < h2)
{
numngb++;
}
}
}
while(startnode >= 0);
return numngb;
}
/*! This function represents the core of the SPH density computation. The
* target particle may either be local, or reside in the communication
* buffer.
*/
double density_evaluate(Tree* self,FLOAT Pos[3],FLOAT Vel[3],double h, double *Density, double *NumNgb,double *DhsmlDensityFactor)
{
int j, n, startnode, numngb, numngb_inbox;
double h2, fac, hinv, hinv3, hinv4;
double rho, divv, wk, dwk;
double dx, dy, dz, r, r2, u, mass_j;
double dvx, dvy, dvz, rotv[3];
double weighted_numngb, dhsmlrho;
FLOAT *pos, *vel;
pos = Pos;
vel = Vel;
h2 = h * h;
hinv = 1.0 / h;
#ifndef TWODIMS
hinv3 = hinv * hinv * hinv;
#else
hinv3 = hinv * hinv / boxSize_Z;
#endif
hinv4 = hinv3 * hinv;
rho = divv = rotv[0] = rotv[1] = rotv[2] = 0;
weighted_numngb = 0;
dhsmlrho = 0;
startnode = self->All.MaxPart;
numngb = 0;
do
{
numngb_inbox = ngb_treefind_variable(self,&pos[0], h, &startnode);
for(n = 0; n < numngb_inbox; n++)
{
j = self->Ngblist[n];
dx = pos[0] - self->P[j].Pos[0];
dy = pos[1] - self->P[j].Pos[1];
dz = pos[2] - self->P[j].Pos[2];
#ifdef PERIODIC /* now find the closest image in the given box size */
if(dx > boxHalf_X)
dx -= boxSize_X;
if(dx < -boxHalf_X)
dx += boxSize_X;
if(dy > boxHalf_Y)
dy -= boxSize_Y;
if(dy < -boxHalf_Y)
dy += boxSize_Y;
if(dz > boxHalf_Z)
dz -= boxSize_Z;
if(dz < -boxHalf_Z)
dz += boxSize_Z;
#endif
r2 = dx * dx + dy * dy + dz * dz;
if(r2 < h2)
{
numngb++;
r = sqrt(r2);
u = r * hinv;
if(u < 0.5)
{
wk = hinv3 * (KERNEL_COEFF_1 + KERNEL_COEFF_2 * (u - 1) * u * u);
dwk = hinv4 * u * (KERNEL_COEFF_3 * u - KERNEL_COEFF_4);
}
else
{
wk = hinv3 * KERNEL_COEFF_5 * (1.0 - u) * (1.0 - u) * (1.0 - u);
dwk = hinv4 * KERNEL_COEFF_6 * (1.0 - u) * (1.0 - u);
}
mass_j = self->P[j].Mass;
rho += mass_j * wk;
weighted_numngb += NORM_COEFF * wk / hinv3;
dhsmlrho += -mass_j * (NUMDIMS * hinv * wk + u * dwk);
}
}
}
while(startnode >= 0);
*Density = rho;
*NumNgb = weighted_numngb;
*DhsmlDensityFactor = dhsmlrho;
return weighted_numngb;
}
/*! This function computes the local density for each active SPH particle,
* the number of neighbours in the current smoothing radius, and the
* divergence and curl of the velocity field. The pressure is updated as
* well. If a particle with its smoothing region is fully inside the
* local domain, it is not exported to the other processors. The function
* also detects particles that have a number of neighbours outside the
* allowed tolerance range. For these particles, the smoothing length is
* adjusted accordingly, and the density computation is executed again.
* Note that the smoothing length is not allowed to fall below the lower
* bound set by MinGasHsml.
*/
double density(Tree* self,FLOAT Pos[3],FLOAT Vel[3],double *h, double *numNgb)
{
double Left,Right;
double Hsml,Density,NumNgb,DhsmlDensityFactor;
int npleft;
int iter;
#ifdef PERIODIC
boxSize = All.BoxSize;
boxHalf = 0.5 * All.BoxSize;
#ifdef LONG_X
boxHalf_X = boxHalf * LONG_X;
boxSize_X = boxSize * LONG_X;
#endif
#ifdef LONG_Y
boxHalf_Y = boxHalf * LONG_Y;
boxSize_Y = boxSize * LONG_Y;
#endif
#ifdef LONG_Z
boxHalf_Z = boxHalf * LONG_Z;
boxSize_Z = boxSize * LONG_Z;
#endif
#endif
Left = Right = 0;
Hsml = *h;
/* we will repeat the whole thing for those particles where we didn't
* find enough neighbours
*/
do
{
density_evaluate(self,Pos,Vel,Hsml,&Density,&NumNgb,&DhsmlDensityFactor);
/* do final operations on results */
npleft = 0;
DhsmlDensityFactor = 1 / (1 + Hsml * DhsmlDensityFactor / (NUMDIMS * Density));
/* now check whether we had enough neighbours */
if(NumNgb < (self->All.DesNumNgb - self->All.MaxNumNgbDeviation) ||
(NumNgb > (self->All.DesNumNgb + self->All.MaxNumNgbDeviation)
&& Hsml > (1.01 * self->All.MinGasHsml)))
{
/* need to redo this particle */
npleft++;
if(Left > 0 && Right > 0)
if((Right - Left) < 1.0e-3 * Left)
{
/* this one should be ok */
npleft--;
continue;
}
if(NumNgb < (self->All.DesNumNgb - self->All.MaxNumNgbDeviation))
Left = dmax(Hsml,Left);
else
{
if(Right != 0)
{
if(Hsml < Right)
Right = Hsml;
}
else
Right = Hsml;
}
if(iter >= MAXITER - 10)
{
//printf("Hsml=%g Left=%g Right=%g NumNgb=%g Right-Left=%g\n",Hsml,Left,Right,NumNgb,Right-Left);
}
if(Right > 0 && Left > 0)
Hsml = pow(0.5 * (pow(Left, 3) + pow(Right, 3)), 1.0 / 3);
else
{
if(Right == 0 && Left == 0)
endrun(self,8188); /* can't occur */
if(Right == 0 && Left > 0)
{
if(fabs(NumNgb - self->All.DesNumNgb) < 0.5 * self->All.DesNumNgb)
{
Hsml *= 1 - (NumNgb - self->All.DesNumNgb) / (NUMDIMS * NumNgb) * DhsmlDensityFactor;
}
else
Hsml *= 1.26;
}
if(Right > 0 && Left == 0)
{
if(fabs(NumNgb - self->All.DesNumNgb) < 0.5 * self->All.DesNumNgb)
{
Hsml *= 1 - (NumNgb - self->All.DesNumNgb) / (NUMDIMS * NumNgb) * DhsmlDensityFactor;
}
else
Hsml /= 1.26;
}
}
if(Hsml < self->All.MinGasHsml)
Hsml = self->All.MinGasHsml;
}
else
{
npleft=0;
}
}
while(npleft > 0);
//printf("Hsml=%g Density=%g NumNgb=%g\n",Hsml,Density,NumNgb);
*h = Hsml;
*numNgb = NumNgb;
return Density;
}
/******************************************************************************
SPH EVALUATION
*******************************************************************************/
/*! Compute div
*/
void sph_evaluate_rot(Tree* self,FLOAT Pos[3],FLOAT Vel[3],double h,double* rotvx, double* rotvy, double* rotvz)
{
int j, n, startnode, numngb, numngb_inbox;
double h2, fac, hinv, hinv3, hinv4;
double wk, dwk;
double dx, dy, dz, r, r2, u;
double dvx, dvy, dvz;
FLOAT *pos,*vel;
pos = Pos;
vel = Vel;
h2 = h * h;
hinv = 1.0 / h;
#ifndef TWODIMS
hinv3 = hinv * hinv * hinv;
#else
hinv3 = hinv * hinv / boxSize_Z;
#endif
hinv4 = hinv3 * hinv;
*rotvx = 0;
*rotvy = 0;
*rotvz = 0;
startnode = self->All.MaxPart;
numngb = 0;
do
{
numngb_inbox = ngb_treefind_variable(self,&pos[0], h, &startnode);
for(n = 0; n < numngb_inbox; n++)
{
j = self->Ngblist[n];
dx = pos[0] - self->P[j].Pos[0];
dy = pos[1] - self->P[j].Pos[1];
dz = pos[2] - self->P[j].Pos[2];
#ifdef PERIODIC /* now find the closest image in the given box size */
if(dx > boxHalf_X)
dx -= boxSize_X;
if(dx < -boxHalf_X)
dx += boxSize_X;
if(dy > boxHalf_Y)
dy -= boxSize_Y;
if(dy < -boxHalf_Y)
dy += boxSize_Y;
if(dz > boxHalf_Z)
dz -= boxSize_Z;
if(dz < -boxHalf_Z)
dz += boxSize_Z;
#endif
r2 = dx * dx + dy * dy + dz * dz;
if(r2 < h2)
{
numngb++;
r = sqrt(r2);
u = r * hinv;
if(u < 0.5)
{
wk = hinv3 * (KERNEL_COEFF_1 + KERNEL_COEFF_2 * (u - 1) * u * u);
dwk = hinv4 * u * (KERNEL_COEFF_3 * u - KERNEL_COEFF_4);
}
else
{
wk = hinv3 * KERNEL_COEFF_5 * (1.0 - u) * (1.0 - u) * (1.0 - u);
dwk = hinv4 * KERNEL_COEFF_6 * (1.0 - u) * (1.0 - u);
}
if(r > 0)
{
fac = self->P[j].Mass * dwk / r;
dvx = vel[0] - self->P[j].Vel[0];
dvy = vel[1] - self->P[j].Vel[1];
dvz = vel[2] - self->P[j].Vel[2];
*rotvx += fac * (dz * dvy - dy * dvz);
*rotvy += fac * (dx * dvz - dz * dvx);
*rotvz += fac * (dy * dvx - dx * dvy);
}
}
}
}
while(startnode >= 0);
}
/*! Compute div
*/
double sph_evaluate_div(Tree* self,FLOAT Pos[3],FLOAT Vel[3],double h)
{
int j, n, startnode, numngb, numngb_inbox;
double h2, fac, hinv, hinv3, hinv4;
double divv, wk, dwk;
double dx, dy, dz, r, r2, u;
double dvx, dvy, dvz;
FLOAT *pos,*vel;
pos = Pos;
vel = Vel;
h2 = h * h;
hinv = 1.0 / h;
#ifndef TWODIMS
hinv3 = hinv * hinv * hinv;
#else
hinv3 = hinv * hinv / boxSize_Z;
#endif
hinv4 = hinv3 * hinv;
divv = 0;
startnode = self->All.MaxPart;
numngb = 0;
do
{
numngb_inbox = ngb_treefind_variable(self,&pos[0], h, &startnode);
for(n = 0; n < numngb_inbox; n++)
{
j = self->Ngblist[n];
dx = pos[0] - self->P[j].Pos[0];
dy = pos[1] - self->P[j].Pos[1];
dz = pos[2] - self->P[j].Pos[2];
#ifdef PERIODIC /* now find the closest image in the given box size */
if(dx > boxHalf_X)
dx -= boxSize_X;
if(dx < -boxHalf_X)
dx += boxSize_X;
if(dy > boxHalf_Y)
dy -= boxSize_Y;
if(dy < -boxHalf_Y)
dy += boxSize_Y;
if(dz > boxHalf_Z)
dz -= boxSize_Z;
if(dz < -boxHalf_Z)
dz += boxSize_Z;
#endif
r2 = dx * dx + dy * dy + dz * dz;
if(r2 < h2)
{
numngb++;
r = sqrt(r2);
u = r * hinv;
if(u < 0.5)
{
wk = hinv3 * (KERNEL_COEFF_1 + KERNEL_COEFF_2 * (u - 1) * u * u);
dwk = hinv4 * u * (KERNEL_COEFF_3 * u - KERNEL_COEFF_4);
}
else
{
wk = hinv3 * KERNEL_COEFF_5 * (1.0 - u) * (1.0 - u) * (1.0 - u);
dwk = hinv4 * KERNEL_COEFF_6 * (1.0 - u) * (1.0 - u);
}
if(r > 0)
{
fac = self->P[j].Mass * dwk / r;
dvx = vel[0] - self->P[j].Vel[0];
dvy = vel[1] - self->P[j].Vel[1];
dvz = vel[2] - self->P[j].Vel[2];
divv -= fac * (dx * dvx + dy * dvy + dz * dvz);
}
}
}
}
while(startnode >= 0);
return divv;
}
/*! Compute number of real neighbours
*/
int sph_evaluate_neighbours(Tree* self,FLOAT Pos[3],double h)
{
int j, n, startnode, numngb, numngb_inbox;
double h2, fac, hinv, hinv3, hinv4;
double divv, wk;
double dx, dy, dz, r2;
FLOAT *pos;
pos = Pos;
h2 = h * h;
hinv = 1.0 / h;
#ifndef TWODIMS
hinv3 = hinv * hinv * hinv;
#else
hinv3 = hinv * hinv / boxSize_Z;
#endif
hinv4 = hinv3 * hinv;
startnode = self->All.MaxPart;
numngb = 0;
do
{
numngb_inbox = ngb_treefind_variable(self,&pos[0], h, &startnode);
for(n = 0; n < numngb_inbox; n++)
{
j = self->Ngblist[n];
dx = pos[0] - self->P[j].Pos[0];
dy = pos[1] - self->P[j].Pos[1];
dz = pos[2] - self->P[j].Pos[2];
#ifdef PERIODIC /* now find the closest image in the given box size */
if(dx > boxHalf_X)
dx -= boxSize_X;
if(dx < -boxHalf_X)
dx += boxSize_X;
if(dy > boxHalf_Y)
dy -= boxSize_Y;
if(dy < -boxHalf_Y)
dy += boxSize_Y;
if(dz > boxHalf_Z)
dz -= boxSize_Z;
if(dz < -boxHalf_Z)
dz += boxSize_Z;
#endif
r2 = dx * dx + dy * dy + dz * dz;
if(r2 < h2)
{
numngb++;
}
}
}
while(startnode >= 0);
return numngb;
}
/*! Compute number of real neighbours
*/
int sph_evaluate_nearest_neighbour(Tree* self,FLOAT Pos[3],double h)
{
int j, n, startnode, numngb, numngb_inbox;
double h2, fac, hinv, hinv3, hinv4;
double divv, wk;
double dx, dy, dz, r2;
double r2min;
int jmin;
FLOAT *pos;
pos = Pos;
h2 = h * h;
hinv = 1.0 / h;
#ifndef TWODIMS
hinv3 = hinv * hinv * hinv;
#else
hinv3 = hinv * hinv / boxSize_Z;
#endif
hinv4 = hinv3 * hinv;
startnode = self->All.MaxPart;
numngb = 0;
r2min = 1e100;
jmin = -1;
do
{
numngb_inbox = ngb_treefind_variable(self,&pos[0], h, &startnode);
for(n = 0; n < numngb_inbox; n++)
{
j = self->Ngblist[n];
dx = pos[0] - self->P[j].Pos[0];
dy = pos[1] - self->P[j].Pos[1];
dz = pos[2] - self->P[j].Pos[2];
#ifdef PERIODIC /* now find the closest image in the given box size */
if(dx > boxHalf_X)
dx -= boxSize_X;
if(dx < -boxHalf_X)
dx += boxSize_X;
if(dy > boxHalf_Y)
dy -= boxSize_Y;
if(dy < -boxHalf_Y)
dy += boxSize_Y;
if(dz > boxHalf_Z)
dz -= boxSize_Z;
if(dz < -boxHalf_Z)
dz += boxSize_Z;
#endif
r2 = dx * dx + dy * dy + dz * dz;
if(r2 < h2)
{
numngb++;
if (r2min>r2)
{
r2min=r2;
jmin = j;
}
}
}
}
while(startnode >= 0);
return jmin;
}
/*! Compute sph value of an observable
*/
double sph_evaluate(Tree* self,FLOAT Pos[3],double h)
{
int j, n, startnode, numngb, numngb_inbox;
double h2, fac, hinv, hinv3, hinv4;
double divv, wk;
double dx, dy, dz, r, r2, u, valA,val0;
FLOAT *pos;
pos = Pos;
h2 = h * h;
hinv = 1.0 / h;
#ifndef TWODIMS
hinv3 = hinv * hinv * hinv;
#else
hinv3 = hinv * hinv / boxSize_Z;
#endif
hinv4 = hinv3 * hinv;
valA = 0;
val0 = 0;
startnode = self->All.MaxPart;
numngb = 0;
do
{
numngb_inbox = ngb_treefind_variable(self,&pos[0], h, &startnode);
for(n = 0; n < numngb_inbox; n++)
{
j = self->Ngblist[n];
dx = pos[0] - self->P[j].Pos[0];
dy = pos[1] - self->P[j].Pos[1];
dz = pos[2] - self->P[j].Pos[2];
#ifdef PERIODIC /* now find the closest image in the given box size */
if(dx > boxHalf_X)
dx -= boxSize_X;
if(dx < -boxHalf_X)
dx += boxSize_X;
if(dy > boxHalf_Y)
dy -= boxSize_Y;
if(dy < -boxHalf_Y)
dy += boxSize_Y;
if(dz > boxHalf_Z)
dz -= boxSize_Z;
if(dz < -boxHalf_Z)
dz += boxSize_Z;
#endif
r2 = dx * dx + dy * dy + dz * dz;
if(r2 < h2)
{
numngb++;
r = sqrt(r2);
u = r * hinv;
if(u < 0.5)
{
wk = hinv3 * (KERNEL_COEFF_1 + KERNEL_COEFF_2 * (u - 1) * u * u);
}
else
{
wk = hinv3 * KERNEL_COEFF_5 * (1.0 - u) * (1.0 - u) * (1.0 - u);
}
valA += self->P[j].Mass*(self->P[j].Observable)/(self->P[j].Density) * wk;
val0 += self->P[j].Mass /(self->P[j].Density) * wk;
}
}
}
while(startnode >= 0);
valA = valA/val0;
return valA;
}
/******************************************************************************
TREE OBJECT
*******************************************************************************/
static void
Tree_dealloc(Tree* self)
{
free(self->P);
free(self->TopNodes);
free(self->DomainNodeIndex);
free(self->Nodes_base);
free(self->Nextnode);
free(self->Father);
free(self->Ngblist);
Py_XDECREF(self->first);
Py_XDECREF(self->list);
self->ob_type->tp_free((PyObject*)self);
}
static PyObject *
Tree_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
{
Tree *self;
self = (Tree *)type->tp_alloc(type, 0);
if (self != NULL) {
self->first = PyString_FromString("");
if (self->first == NULL)
{
Py_DECREF(self);
return NULL;
}
self->list = PyList_New(0);
if (self->list == NULL)
{
Py_DECREF(self);
return NULL;
}
self->number = 7;
}
return (PyObject *)self;
}
static int
Tree_init(Tree *self, PyObject *args, PyObject *kwds)
{
import_array();
int i;
PyObject *first=NULL, *tmp, *list=NULL;
PyArrayObject *ntype,*pos,*vel,*mass;
double ErrTolTheta;
static char *kwlist[] = {"first", "npart", "pos","vel", "mass", "ErrTolTheta", NULL};
if (! PyArg_ParseTupleAndKeywords(args, kwds, "|OOOOOd",kwlist,&first,&ntype,&pos,&vel,&mass,&ErrTolTheta))
return -1;
if (first) {
tmp = self->first;
Py_INCREF(first);
self->first = first;
Py_XDECREF(tmp);
}
/* variables related to nbody */
/* here, we should pass direcly the pointer */
if ((ntype->nd != 1) || (ntype->dimensions[0]!=6))
{
PyErr_SetString(PyExc_ValueError,"Tree_init, npart must be an array of dimension 1x6.");
return -1;
}
self->NtypeLocal[0] = *(int*) (ntype->data + 0*(ntype->strides[0]));
self->NtypeLocal[1] = *(int*) (ntype->data + 1*(ntype->strides[0]));
self->NtypeLocal[2] = *(int*) (ntype->data + 2*(ntype->strides[0]));
self->NtypeLocal[3] = *(int*) (ntype->data + 3*(ntype->strides[0]));
self->NtypeLocal[4] = *(int*) (ntype->data + 4*(ntype->strides[0]));
self->NtypeLocal[5] = *(int*) (ntype->data + 5*(ntype->strides[0]));
self->NumPart = 0;
self->N_gas = self->NtypeLocal[0];
for (i = 0; i < 6; i++)
self->NumPart += self->NtypeLocal[i];
self->All.TotNumPart = self->NumPart;
self->All.TotN_gas = self->N_gas;
/* global variables */
self->ThisTask = 0;
self->NTask = 1;
/* All vars */
for (i = 0; i < 6; i++)
self->All.SofteningTable[i] = 0.1; /* a changer !!!! */
for (i = 0; i < 6; i++)
self->All.ForceSoftening[i] = 0.1; /* a changer !!!! */
self->All.PartAllocFactor = 1.5;
- self->All.TreeAllocFactor = 4.0;
+ self->All.TreeAllocFactor = 10.0;
self->All.ErrTolTheta = ErrTolTheta;
self->All.MaxPart = self->All.PartAllocFactor * (self->All.TotNumPart / self->NTask);
self->All.MaxPartSph = self->All.PartAllocFactor * (self->All.TotN_gas / self->NTask);
self->All.DesNumNgb = 33;
self->All.MaxNumNgbDeviation = 3;
self->All.MinGasHsmlFractional = 0.25;
self->All.MinGasHsml = self->All.MinGasHsmlFractional * self->All.ForceSoftening[0];
/* create P */
size_t bytes;
if(!(self->P = malloc(bytes = self->All.MaxPart * sizeof(struct particle_data))))
{
printf("failed to allocate memory for `P' (%g MB).\n", bytes / (1024.0 * 1024.0));
endrun(self,1);
}
for (i = 0; i < pos->dimensions[0]; i++)
{
self->P[i].Pos[0] = *(float *) (pos->data + i*(pos->strides[0]) + 0*pos->strides[1]);
self->P[i].Pos[1] = *(float *) (pos->data + i*(pos->strides[0]) + 1*pos->strides[1]);
self->P[i].Pos[2] = *(float *) (pos->data + i*(pos->strides[0]) + 2*pos->strides[1]);
self->P[i].Vel[0] = *(float *) (vel->data + i*(vel->strides[0]) + 0*vel->strides[1]);
self->P[i].Vel[1] = *(float *) (vel->data + i*(vel->strides[0]) + 1*vel->strides[1]);
self->P[i].Vel[2] = *(float *) (vel->data + i*(vel->strides[0]) + 2*vel->strides[1]);
self->P[i].Mass = *(float *) (mass->data + i*(mass->strides[0]));
self->P[i].Type = 0; /* this should be changed... */
}
/***************************************
* domain decomposition construction *
/***************************************/
domain_domainallocate(self);
domain_Decomposition(self);
self->NTopleaves = 0; /* normally in domain_sumCost */
domain_walktoptree(self,0); /* normally in domain_sumCost */
//printf("NTopleaves = %d\n",self->NTopleaves);
/************************
/* tree construction *
/************************/
force_treeallocate(self,self->All.TreeAllocFactor * self->All.MaxPart, self->All.MaxPart);
force_treebuild(self,self->NumPart);
/************************
/* ngb *
/************************/
ngb_treeallocate(self,self->NumPart);
return 0;
}
static PyMemberDef Tree_members[] = {
{"first", T_OBJECT_EX, offsetof(Tree, first), 0,
"first name"},
{"list", T_OBJECT_EX, offsetof(Tree, list), 0,
"list of"},
{"number", T_INT, offsetof(Tree, number), 0,
"Tree number"},
{NULL} /* Sentinel */
};
static PyObject *
Tree_name(Tree* self)
{
static PyObject *format = NULL;
PyObject *args, *result;
if (format == NULL) {
format = PyString_FromString("%s %s");
if (format == NULL)
return NULL;
}
if (self->first == NULL) {
PyErr_SetString(PyExc_AttributeError, "first");
return NULL;
}
result = PyString_Format(format, args);
Py_DECREF(args);
return result;
}
static PyObject *
Tree_info(Tree* self)
{
//static PyObject *format = NULL;
//PyObject *args, *result;
printf("NumPart = %d\n",self->NumPart);
printf("N_gas = %d\n",self->N_gas);
printf("DomainLen = %g\n",self->DomainLen);
printf("DomainCenter x = %g\n",self->DomainCenter[0]);
printf("DomainCenter y = %g\n",self->DomainCenter[1]);
printf("DomainCenter z = %g\n",self->DomainCenter[2]);
printf("DomainCorner x = %g\n",self->DomainCorner[0]);
printf("DomainCorner y = %g\n",self->DomainCorner[1]);
printf("DomainCorner z = %g\n",self->DomainCorner[2]);
return Py_BuildValue("i",1);
}
static PyObject *
Tree_Acceleration(Tree* self, PyObject *args)
{
PyArrayObject *pos;
float eps;
if (! PyArg_ParseTuple(args, "Of",&pos,&eps))
return PyString_FromString("error");
PyArrayObject *acc;
int i;
double x,y,z,ax,ay,az;
int input_dimension;
input_dimension =pos->nd;
if (input_dimension != 2)
PyErr_SetString(PyExc_ValueError,"dimension of first argument must be 2");
if (pos->descr->type_num != PyArray_FLOAT)
PyErr_SetString(PyExc_ValueError,"argument 1 must be of type Float32");
/* create a NumPy object */
npy_intp ld[2];
ld[0]=pos->dimensions[0];
ld[1]=pos->dimensions[1];
/* there is a kind of bug here ! I cannt replace ld by pos->dimensions */
//acc = (PyArrayObject *) PyArray_FromDims(pos->nd,ld,pos->descr->type_num);
acc = (PyArrayObject *) PyArray_SimpleNew(pos->nd,ld,pos->descr->type_num);
for (i = 0; i < pos->dimensions[0]; i++)
{
x = *(float *) (pos->data + i*(pos->strides[0]) + 0*pos->strides[1]);
y = *(float *) (pos->data + i*(pos->strides[0]) + 1*pos->strides[1]);
z = *(float *) (pos->data + i*(pos->strides[0]) + 2*pos->strides[1]);
force_treeevaluate_local(self,x,y,z,(double)eps,&ax,&ay,&az);
*(float *)(acc->data + i*(acc->strides[0]) + 0*acc->strides[1]) = ax;
*(float *)(acc->data + i*(acc->strides[0]) + 1*acc->strides[1]) = ay;
*(float *)(acc->data + i*(acc->strides[0]) + 2*acc->strides[1]) = az;
}
return PyArray_Return(acc);
}
static PyObject *
Tree_Potential(Tree* self, PyObject *args)
{
PyArrayObject *pos;
float eps;
if (! PyArg_ParseTuple(args, "Of",&pos,&eps))
return PyString_FromString("error");
PyArrayObject *pot;
int i;
double x,y,z,lpot;
npy_intp ld[1];
int input_dimension;
input_dimension =pos->nd;
if (input_dimension != 2)
PyErr_SetString(PyExc_ValueError,"dimension of first argument must be 2");
if (pos->descr->type_num != PyArray_FLOAT)
PyErr_SetString(PyExc_ValueError,"argument 1 must be of type Float32");
/* create a NumPy object */
ld[0]=pos->dimensions[0];
//pot = (PyArrayObject *) PyArray_FromDims(1,ld,PyArray_FLOAT);
pot = (PyArrayObject *) PyArray_SimpleNew(1,ld,NPY_FLOAT);
for (i = 0; i < pos->dimensions[0]; i++)
{
x = *(float *) (pos->data + i*(pos->strides[0]) + 0*pos->strides[1]);
y = *(float *) (pos->data + i*(pos->strides[0]) + 1*pos->strides[1]);
z = *(float *) (pos->data + i*(pos->strides[0]) + 2*pos->strides[1]);
lpot = force_treeevaluate_local_potential(self,x,y,z,(double)eps);
*(float *)(pot->data + i*(pot->strides[0])) = lpot;
}
return PyArray_Return(pot);
}
static PyObject *
Tree_Density(Tree* self, PyObject *args)
{
PyArrayObject *pos,*hsml;
double DesNumNgb,MaxNumNgbDeviation;
if (! PyArg_ParseTuple(args, "OOdd",&pos,&hsml,&DesNumNgb,&MaxNumNgbDeviation))
return PyString_FromString("error");
PyArrayObject *vdensity,*vhsml;
int i;
double x,y,z,ldensity,lhsml,lnumNgb,weighted_numngb;
npy_intp ld[1];
int input_dimension;
FLOAT lpos[3],lvel[3];
input_dimension =pos->nd;
if (input_dimension != 2)
PyErr_SetString(PyExc_ValueError,"dimension of first argument must be 2");
if (pos->descr->type_num != PyArray_FLOAT)
PyErr_SetString(PyExc_ValueError,"argument 1 must be of type Float32");
/* create a NumPy object */
ld[0]=pos->dimensions[0];
//vdensity = (PyArrayObject *) PyArray_FromDims(1,ld,PyArray_FLOAT);
vdensity = (PyArrayObject *) PyArray_SimpleNew(1,ld,NPY_FLOAT);
//vhsml = (PyArrayObject *) PyArray_FromDims(1,ld,PyArray_FLOAT);
vhsml = (PyArrayObject *) PyArray_SimpleNew(1,ld,NPY_FLOAT);
self->All.DesNumNgb = DesNumNgb;
self->All.MaxNumNgbDeviation = MaxNumNgbDeviation;
for (i = 0; i < pos->dimensions[0]; i++)
{
lpos[0] = *(float *) (pos->data + i*(pos->strides[0]) + 0*pos->strides[1]);
lpos[1] = *(float *) (pos->data + i*(pos->strides[0]) + 1*pos->strides[1]);
lpos[2] = *(float *) (pos->data + i*(pos->strides[0]) + 2*pos->strides[1]);
lvel[0] = 0.0;
lvel[1] = 0.0;
lvel[2] = 0.0;
lhsml = *(float *) (hsml->data + i*(hsml->strides[0]) );
ldensity = density(self,lpos,lvel,&lhsml,&lnumNgb);
*(float *)(vdensity->data + i*(vdensity->strides[0])) = ldensity;
*(float *)(vhsml->data + i*(vhsml->strides[0])) = lhsml;
}
return Py_BuildValue("OO",vdensity,vhsml);
}
static PyObject *
Tree_InitHsml(Tree* self, PyObject *args)
{
double DesNumNgb,MaxNumNgbDeviation;
if (! PyArg_ParseTuple(args, "dd",&DesNumNgb,&MaxNumNgbDeviation))
return PyString_FromString("error");
PyArrayObject *vhsml;
int i, no, p;
double lhsml;
npy_intp ld[1];
/* create a NumPy object */
ld[0]=self->NumPart;
//vhsml = (PyArrayObject *) PyArray_FromDims(1,ld,PyArray_FLOAT);
vhsml = (PyArrayObject *) PyArray_SimpleNew(1,ld,NPY_FLOAT);
self->All.DesNumNgb = DesNumNgb;
self->All.MaxNumNgbDeviation = MaxNumNgbDeviation;
for (i = 0; i < self->NumPart; i++)
{
no = self->Father[i];
while(10 * self->All.DesNumNgb * self->P[i].Mass > self->Nodes[no].u.d.mass)
{
p = self->Nodes[no].u.d.father;
if(p < 0)
break;
no = p;
}
#ifndef TWODIMS
lhsml = pow(3.0 / (4 * M_PI) * self->All.DesNumNgb * self->P[i].Mass / self->Nodes[no].u.d.mass, 1.0 / 3) * self->Nodes[no].len;
#else
lhsml = pow(1.0 / (M_PI) * self->All.DesNumNgb * self->P[i].Mass / self->Nodes[no].u.d.mass, 1.0 / 2) * self->Nodes[no].len;
#endif
*(float *)(vhsml->data + i*(vhsml->strides[0])) = lhsml;
}
return PyArray_Return(vhsml);
}
static PyObject *
Tree_SphEvaluate(Tree* self, PyObject *args)
{
PyArrayObject *pos,*hsml;
PyArrayObject *Density, *Observable;
double DesNumNgb,MaxNumNgbDeviation;
if (! PyArg_ParseTuple(args, "OOOOdd",&pos,&hsml,&Density,&Observable,&DesNumNgb,&MaxNumNgbDeviation))
return PyString_FromString("error");
PyArrayObject *vobservable;
int i;
double lhsml,lobservable;
npy_intp ld[1];
int input_dimension;
FLOAT lpos[3],lvel[3];
input_dimension =pos->nd;
if (input_dimension != 2)
PyErr_SetString(PyExc_ValueError,"dimension of first argument must be 2");
if (pos->descr->type_num != PyArray_FLOAT)
PyErr_SetString(PyExc_ValueError,"argument 1 must be of type Float32");
if (Density->dimensions[0] != self->NumPart)
PyErr_SetString(PyExc_ValueError,"len of third argument must equal NumPart\n");
if (Observable->dimensions[0] != self->NumPart)
PyErr_SetString(PyExc_ValueError,"len of fourth argument must equal NumPart\n");
/* create a NumPy object */
ld[0]=pos->dimensions[0];
//vobservable = (PyArrayObject *) PyArray_FromDims(1,ld,PyArray_FLOAT);
vobservable = (PyArrayObject *) PyArray_SimpleNew(1,ld,NPY_FLOAT);
self->All.DesNumNgb = DesNumNgb;
self->All.MaxNumNgbDeviation = MaxNumNgbDeviation;
for(i = 0; i < self->NumPart; i++)
{
self->P[i].Density = *(float *) (Density->data + i*(Density->strides[0]));
self->P[i].Observable = *(float *) (Observable->data + i*(Observable->strides[0]));
}
for (i = 0; i < pos->dimensions[0]; i++)
{
lpos[0] = *(float *) (pos->data + i*(pos->strides[0]) + 0*pos->strides[1]);
lpos[1] = *(float *) (pos->data + i*(pos->strides[0]) + 1*pos->strides[1]);
lpos[2] = *(float *) (pos->data + i*(pos->strides[0]) + 2*pos->strides[1]);
lhsml = *(float *) (hsml->data + i*(hsml->strides[0]) );
lobservable = sph_evaluate(self,lpos,lhsml);
*(float *)(vobservable->data + i*(vobservable->strides[0])) = lobservable;
}
return PyArray_Return(vobservable);
}
static PyObject *
Tree_SphEvaluateDiv(Tree* self, PyObject *args)
{
PyArrayObject *pos,*vel,*hsml;
PyArrayObject *Density;
double DesNumNgb,MaxNumNgbDeviation;
if (! PyArg_ParseTuple(args, "OOOOdd",&pos,&vel,&hsml,&Density,&DesNumNgb,&MaxNumNgbDeviation))
return PyString_FromString("error");
PyArrayObject *vobservable;
int i;
double lhsml,lobservable;
npy_intp ld[1];
int input_dimension;
FLOAT lpos[3],lvel[3];
input_dimension =pos->nd;
if (input_dimension != 2)
PyErr_SetString(PyExc_ValueError,"dimension of first argument must be 2");
if (pos->descr->type_num != PyArray_FLOAT)
PyErr_SetString(PyExc_ValueError,"argument 1 must be of type Float32");
if (Density->dimensions[0] != self->NumPart)
PyErr_SetString(PyExc_ValueError,"len of third argument must equal NumPart\n");
/* create a NumPy object */
ld[0]=pos->dimensions[0];
//vobservable = (PyArrayObject *) PyArray_FromDims(1,ld,PyArray_FLOAT);
vobservable = (PyArrayObject *) PyArray_SimpleNew(1,ld,NPY_FLOAT);
self->All.DesNumNgb = DesNumNgb;
self->All.MaxNumNgbDeviation = MaxNumNgbDeviation;
for(i = 0; i < self->NumPart; i++)
{
self->P[i].Density = *(float *) (Density->data + i*(Density->strides[0]));
}
for (i = 0; i < pos->dimensions[0]; i++)
{
lpos[0] = *(float *) (pos->data + i*(pos->strides[0]) + 0*pos->strides[1]);
lpos[1] = *(float *) (pos->data + i*(pos->strides[0]) + 1*pos->strides[1]);
lpos[2] = *(float *) (pos->data + i*(pos->strides[0]) + 2*pos->strides[1]);
lvel[0] = *(float *) (vel->data + i*(vel->strides[0]) + 0*vel->strides[1]);
lvel[1] = *(float *) (vel->data + i*(vel->strides[0]) + 1*vel->strides[1]);
lvel[2] = *(float *) (vel->data + i*(vel->strides[0]) + 2*vel->strides[1]);
lhsml = *(float *) (hsml->data + i*(hsml->strides[0]) );
lobservable = sph_evaluate_div(self,lpos,lvel,lhsml);
*(float *)(vobservable->data + i*(vobservable->strides[0])) = lobservable;
}
return PyArray_Return(vobservable);
}
static PyObject *
Tree_SphEvaluateRot(Tree* self, PyObject *args)
{
PyArrayObject *pos,*vel,*hsml;
PyArrayObject *Density;
double DesNumNgb,MaxNumNgbDeviation;
if (! PyArg_ParseTuple(args, "OOOOdd",&pos,&vel,&hsml,&Density,&DesNumNgb,&MaxNumNgbDeviation))
return PyString_FromString("error");
PyArrayObject *vobservable;
int i;
double lhsml;
int input_dimension;
FLOAT lpos[3],lvel[3];
double lrotx,lroty,lrotz;
npy_intp ld[2];
input_dimension =pos->nd;
if (input_dimension != 2)
PyErr_SetString(PyExc_ValueError,"dimension of first argument must be 2");
if (pos->descr->type_num != PyArray_FLOAT)
PyErr_SetString(PyExc_ValueError,"argument 1 must be of type Float32");
if (Density->dimensions[0] != self->NumPart)
PyErr_SetString(PyExc_ValueError,"len of third argument must equal NumPart\n");
/* create a NumPy object */
//vobservable = (PyArrayObject *) PyArray_FromDims(pos->nd,pos->dimensions,pos->descr->type_num);
ld[0]=pos->dimensions[0];
ld[1]=pos->dimensions[1];
/* there is a kind of bug here ! I cannt replace ld by pos->dimensions */
vobservable = (PyArrayObject *) PyArray_SimpleNew(pos->nd,ld,pos->descr->type_num);
self->All.DesNumNgb = DesNumNgb;
self->All.MaxNumNgbDeviation = MaxNumNgbDeviation;
for(i = 0; i < self->NumPart; i++)
{
self->P[i].Density = *(float *) (Density->data + i*(Density->strides[0]));
}
for (i = 0; i < pos->dimensions[0]; i++)
{
lpos[0] = *(float *) (pos->data + i*(pos->strides[0]) + 0*pos->strides[1]);
lpos[1] = *(float *) (pos->data + i*(pos->strides[0]) + 1*pos->strides[1]);
lpos[2] = *(float *) (pos->data + i*(pos->strides[0]) + 2*pos->strides[1]);
lvel[0] = *(float *) (vel->data + i*(vel->strides[0]) + 0*vel->strides[1]);
lvel[1] = *(float *) (vel->data + i*(vel->strides[0]) + 1*vel->strides[1]);
lvel[2] = *(float *) (vel->data + i*(vel->strides[0]) + 2*vel->strides[1]);
lhsml = *(float *) (hsml->data + i*(hsml->strides[0]) );
sph_evaluate_rot(self,lpos,lvel,lhsml,&lrotx,&lroty,&lrotz);
*(float *)(vobservable->data + i*(vobservable->strides[0]) + 0*vobservable->strides[1]) = lrotx;
*(float *)(vobservable->data + i*(vobservable->strides[0]) + 1*vobservable->strides[1]) = lroty;
*(float *)(vobservable->data + i*(vobservable->strides[0]) + 2*vobservable->strides[1]) = lrotz;
}
return PyArray_Return(vobservable);
}
static PyObject *
Tree_SphEvaluateNgb(Tree* self, PyObject *args)
{
PyArrayObject *pos,*hsml;
double DesNumNgb,MaxNumNgbDeviation;
if (! PyArg_ParseTuple(args, "OOdd",&pos,&hsml,&DesNumNgb,&MaxNumNgbDeviation))
return PyString_FromString("error");
PyArrayObject *vnumngb;
int i;
double lhsml;
int numngb;
npy_intp ld[1];
int input_dimension;
FLOAT lpos[3];
input_dimension =pos->nd;
if (input_dimension != 2)
PyErr_SetString(PyExc_ValueError,"dimension of first argument must be 2");
if (pos->descr->type_num != PyArray_FLOAT)
PyErr_SetString(PyExc_ValueError,"argument 1 must be of type Float32");
/* create a NumPy object */
ld[0]=pos->dimensions[0];
//vnumngb = (PyArrayObject *) PyArray_FromDims(1,ld,PyArray_INT);
vnumngb = (PyArrayObject *) PyArray_SimpleNew(1,ld,NPY_INT);
for (i = 0; i < pos->dimensions[0]; i++)
{
lpos[0] = *(float *) (pos->data + i*(pos->strides[0]) + 0*pos->strides[1]);
lpos[1] = *(float *) (pos->data + i*(pos->strides[0]) + 1*pos->strides[1]);
lpos[2] = *(float *) (pos->data + i*(pos->strides[0]) + 2*pos->strides[1]);
lhsml = *(float *) (hsml->data + i*(hsml->strides[0]) );
numngb = sph_evaluate_neighbours(self,lpos,lhsml);
*(int *)(vnumngb->data + i*(vnumngb->strides[0])) = numngb;
}
return PyArray_Return(vnumngb);
}
static PyObject *
Tree_SphEvaluateNearestNgb(Tree* self, PyObject *args)
{
PyArrayObject *pos,*hsml;
if (! PyArg_ParseTuple(args, "OO",&pos,&hsml))
return PyString_FromString("error");
PyArrayObject *vnumngb, *vjmin;
int i,jmin;
double lhsml;
int numngb;
npy_intp ld[1];
int input_dimension;
FLOAT lpos[3];
input_dimension =pos->nd;
if (input_dimension != 2)
PyErr_SetString(PyExc_ValueError,"dimension of first argument must be 2");
if (pos->descr->type_num != PyArray_FLOAT)
PyErr_SetString(PyExc_ValueError,"argument 1 must be of type Float32");
/* create a NumPy object */
ld[0]=pos->dimensions[0];
vnumngb = (PyArrayObject *) PyArray_SimpleNew(1,ld,NPY_INT);
vjmin = (PyArrayObject *) PyArray_SimpleNew(1,ld,NPY_INT);
for (i = 0; i < pos->dimensions[0]; i++)
{
lpos[0] = *(float *) (pos->data + i*(pos->strides[0]) + 0*pos->strides[1]);
lpos[1] = *(float *) (pos->data + i*(pos->strides[0]) + 1*pos->strides[1]);
lpos[2] = *(float *) (pos->data + i*(pos->strides[0]) + 2*pos->strides[1]);
lhsml = *(float *) (hsml->data + i*(hsml->strides[0]) );
jmin = sph_evaluate_nearest_neighbour(self,lpos,lhsml);
*(int *)(vjmin->data + i*(vjmin->strides[0] )) = jmin;
}
return PyArray_Return(vjmin);
}
static PyObject *
Tree_SphGetNgb(Tree* self, PyObject *args)
{
PyArrayObject *pos,*hsml;
if (! PyArg_ParseTuple(args, "OO",&pos,&hsml))
return PyString_FromString("error");
PyArrayObject *ngb_lst;
int i;
int input_dimension,startnode;
FLOAT lpos[3];
double lhsml;
int numngb;
npy_intp ld[2];
input_dimension =pos->nd;
if (input_dimension != 2)
PyErr_SetString(PyExc_ValueError,"dimension of first argument must be 2");
if (pos->descr->type_num != PyArray_FLOAT)
PyErr_SetString(PyExc_ValueError,"argument 1 must be of type Float32");
for (i = 0; i < pos->dimensions[0]; i++)
{
startnode = self->All.MaxPart;
lpos[0] = *(float *) (pos->data + i*(pos->strides[0]) + 0*pos->strides[1]);
lpos[1] = *(float *) (pos->data + i*(pos->strides[0]) + 1*pos->strides[1]);
lpos[2] = *(float *) (pos->data + i*(pos->strides[0]) + 2*pos->strides[1]);
lhsml = *(float *) (hsml->data + i*(hsml->strides[0]) );
numngb = ngb_treefind_variable(self,lpos,lhsml,&startnode);
}
/* create a NumPy object */
ld[0]=numngb;
ngb_lst = (PyArrayObject *) PyArray_SimpleNew(1,ld,PyArray_INT);
for (i = 0; i < ngb_lst->dimensions[0]; i++)
{
*(int *)(ngb_lst->data + i*(ngb_lst->strides[0])) = self->Ngblist[i];
}
return PyArray_Return(ngb_lst);
}
static PyObject *
Tree_SphGetTrueNgb(Tree* self, PyObject *args)
{
PyArrayObject *pos,*hsml;
if (! PyArg_ParseTuple(args, "OO",&pos,&hsml))
return PyString_FromString("error");
PyArrayObject *ngb_lst;
PyArrayObject *wij;
int i,j,k;
int input_dimension,startnode;
FLOAT lpos[3];
double lhsml;
int numngb;
int truenumngb;
double dx,dy,dz,r2,r;
double h2,hinv,hinv3;
double wk;
double u;
npy_intp ld[2];
input_dimension =pos->nd;
if (input_dimension != 2)
PyErr_SetString(PyExc_ValueError,"dimension of first argument must be 2");
if (pos->descr->type_num != PyArray_FLOAT)
PyErr_SetString(PyExc_ValueError,"argument 1 must be of type Float32");
if (pos->dimensions[0]>1)
return PyString_FromString("only one particle may be given here.");
for (i = 0; i < pos->dimensions[0]; i++)
{
startnode = self->All.MaxPart;
lpos[0] = *(float *) (pos->data + i*(pos->strides[0]) + 0*pos->strides[1]);
lpos[1] = *(float *) (pos->data + i*(pos->strides[0]) + 1*pos->strides[1]);
lpos[2] = *(float *) (pos->data + i*(pos->strides[0]) + 2*pos->strides[1]);
lhsml = *(float *) (hsml->data + i*(hsml->strides[0]) );
numngb = ngb_treefind_variable(self,lpos,lhsml,&startnode);
}
h2 = lhsml*lhsml;
hinv = 1.0 / lhsml;
hinv3 = hinv * hinv * hinv;
truenumngb=0;
/* first loop, determine the number of true ngbs */
for (i = 0,k = 0; i < numngb; i++)
{
j = self->Ngblist[i];
dx = lpos[0] - self->P[j].Pos[0];
dy = lpos[1] - self->P[j].Pos[1];
dz = lpos[2] - self->P[j].Pos[2];
r2 = dx * dx + dy * dy + dz * dz;
if(r2 < h2)
truenumngb++;
}
printf("numngb=%d\n",numngb);
printf("truenumngb=%d\n",truenumngb);
/* create a NumPy object */
ld[0]=truenumngb;
ngb_lst = (PyArrayObject *) PyArray_SimpleNew(1,ld,PyArray_INT);
wij = (PyArrayObject *) PyArray_SimpleNew(1,ld,PyArray_DOUBLE);
/* second loop use only true ngbs */
for (i = 0,k = 0; i < numngb; i++)
{
j = self->Ngblist[i];
dx = lpos[0] - self->P[j].Pos[0];
dy = lpos[1] - self->P[j].Pos[1];
dz = lpos[2] - self->P[j].Pos[2];
r2 = dx * dx + dy * dy + dz * dz;
if(r2 < h2)
{
r = sqrt(r2);
u = r * hinv;
if(u < 0.5)
{
wk = hinv3 * (KERNEL_COEFF_1 + KERNEL_COEFF_2 * (u - 1) * u * u);
//dwk = hinv4 * u * (KERNEL_COEFF_3 * u - KERNEL_COEFF_4);
}
else
{
wk = hinv3 * KERNEL_COEFF_5 * (1.0 - u) * (1.0 - u) * (1.0 - u);
//dwk = hinv4 * KERNEL_COEFF_6 * (1.0 - u) * (1.0 - u);
}
*(int *)(ngb_lst->data + k*(ngb_lst->strides[0])) = j;
*(double *)(wij->data + k*(wij->strides[0])) = wk;
k++;
}
}
return Py_BuildValue("OO",ngb_lst,wij);
//return PyArray_Return(ngb_lst);
}
static PyMethodDef Tree_methods[] = {
{"name", (PyCFunction)Tree_name, METH_NOARGS,
"Return the name, combining the first and last name"
},
{"info", (PyCFunction)Tree_info, METH_NOARGS,
"Return info"
},
{"Potential", (PyCFunction)Tree_Potential, METH_VARARGS,
"This function computes the potential at a given position using the tree"
},
{"Acceleration", (PyCFunction)Tree_Acceleration, METH_VARARGS,
"This function computes the acceleration at a given position using the tree"
},
{"Density", (PyCFunction)Tree_Density, METH_VARARGS,
"This function computes the density at a given position using the tree"
},
{"InitHsml", (PyCFunction)Tree_InitHsml, METH_VARARGS,
"This function is used to find an initial smoothing length for each particle"
},
{"SphEvaluate", (PyCFunction)Tree_SphEvaluate, METH_VARARGS,
"This function is used to evaluate an observable, using SPH."
},
{"SphEvaluateDiv", (PyCFunction)Tree_SphEvaluateDiv, METH_VARARGS,
"This function is used to evaluate divergeance, using SPH."
},
{"SphEvaluateRot", (PyCFunction)Tree_SphEvaluateRot, METH_VARARGS,
"This function is used to evaluate rotational, using SPH."
},
{"SphEvaluateNgb", (PyCFunction)Tree_SphEvaluateNgb, METH_VARARGS,
"This function return the number of real neighbours."
},
{"SphEvaluateNearestNgb", (PyCFunction)Tree_SphEvaluateNearestNgb, METH_VARARGS,
"This function return the nearest neighbor of a particle."
},
{"SphGetNgb", (PyCFunction)Tree_SphGetNgb, METH_VARARGS,
"This function returns indexes of neighbour particles in a box (may be incomplete...)."
},
{"SphGetTrueNgb", (PyCFunction)Tree_SphGetTrueNgb, METH_VARARGS,
"This function returns indexes of neighbour particles in a sphere."
},
{NULL} /* Sentinel */
};
static PyTypeObject TreeType = {
PyObject_HEAD_INIT(NULL)
0, /*ob_size*/
"tree.Tree", /*tp_name*/
sizeof(Tree), /*tp_basicsize*/
0, /*tp_itemsize*/
(destructor)Tree_dealloc, /*tp_dealloc*/
0, /*tp_print*/
0, /*tp_getattr*/
0, /*tp_setattr*/
0, /*tp_compare*/
0, /*tp_repr*/
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash */
0, /*tp_call*/
0, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /*tp_flags*/
"Tree objects", /* tp_doc */
0, /* tp_traverse */
0, /* tp_clear */
0, /* tp_richcompare */
0, /* tp_weaklistoffset */
0, /* tp_iter */
0, /* tp_iternext */
Tree_methods, /* tp_methods */
Tree_members, /* tp_members */
0, /* tp_getset */
0, /* tp_base */
0, /* tp_dict */
0, /* tp_descr_get */
0, /* tp_descr_set */
0, /* tp_dictoffset */
(initproc)Tree_init, /* tp_init */
0, /* tp_alloc */
Tree_new, /* tp_new */
};
static PyMethodDef module_methods[] = {
{NULL} /* Sentinel */
};
#ifndef PyMODINIT_FUNC /* declarations for DLL import/export */
#define PyMODINIT_FUNC void
#endif
PyMODINIT_FUNC
inittreelib(void)
{
PyObject* m;
if (PyType_Ready(&TreeType) < 0)
return;
m = Py_InitModule3("treelib", module_methods,
"Provides serial tree routines based on Gadget-2. Should be replaced by PyGadget.");
if (m == NULL)
return;
Py_INCREF(&TreeType);
PyModule_AddObject(m, "Tree", (PyObject *)&TreeType);
}