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statistics.cpp
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Mon, Jul 8, 04:41
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rTAMAAS tamaas
statistics.cpp
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/**
* @file
*
* @author Guillaume Anciaux <guillaume.anciaux@epfl.ch>
* @author Lucas Frérot <lucas.frerot@epfl.ch>
*
* @section LICENSE
*
* Copyright (©) 2016-2017 EPFL (Ecole Polytechnique Fédérale de
* Lausanne) Laboratory (LSMS - Laboratoire de Simulation en Mécanique des
* Solides)
*
* Tamaas is free software: you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License as published by the Free
* Software Foundation, either version 3 of the License, or (at your option) any
* later version.
*
* Tamaas is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
* A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
* details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Tamaas. If not, see <http://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#include "statistics.hh"
#include "loop.hh"
#include "static_types.hh"
/* -------------------------------------------------------------------------- */
__BEGIN_TAMAAS__
template
<
UInt
dim
>
Real
Statistics
<
dim
>::
computeSpectralRMSSlope
(
Grid
<
Real
,
dim
>&
surface
)
{
auto
h_size
=
GridHermitian
<
Real
,
dim
>::
hermitianDimensions
(
surface
.
sizes
());
auto
wavevectors
=
FFTransform
<
Real
,
dim
>::
template
computeFrequencies
<
true
>
(
h_size
);
auto
psd
=
computePowerSpectrum
(
surface
);
auto
end
=
wavevectors
.
end
(
dim
);
Real
rms_slope_mean
=
0
;
rms_slope_mean
=
Loop
::
stridedReduce
<
operation
::
plus
>
(
[]
CUDA_LAMBDA
(
StaticVector
<
Real
,
dim
>
&&
q
,
Complex
&
psd_val
)
{
return
q
.
l2squared
()
*
psd_val
.
real
();
},
wavevectors
,
psd
);
rms_slope_mean
/=
wavevectors
.
getNbPoints
();
// average
rms_slope_mean
*=
2
;
// because we have a hermitian surface
return
rms_slope_mean
;
}
/* -------------------------------------------------------------------------- */
template
<
UInt
dim
>
GridHermitian
<
Real
,
dim
>
Statistics
<
dim
>::
computePowerSpectrum
(
Grid
<
Real
,
dim
>&
surface
)
{
auto
h_size
=
GridHermitian
<
Real
,
dim
>::
hermitianDimensions
(
surface
.
sizes
());
GridHermitian
<
Real
,
dim
>
psd
(
h_size
,
surface
.
getNbComponents
());
FFTPlanManager
::
get
().
createPlan
(
surface
,
psd
).
forwardTransform
();
Real
factor
=
surface
.
getNbPoints
();
// Squaring the fourier transform of surface and normalizing
Loop
::
loop
(
[
factor
]
CUDA_LAMBDA
(
Complex
&
c
)
{
c
*=
conj
(
c
);
c
/=
factor
*
factor
;
},
psd
);
FFTPlanManager
::
get
().
destroyPlan
(
surface
,
psd
);
return
psd
;
}
/* -------------------------------------------------------------------------- */
template
<
UInt
dim
>
Grid
<
Real
,
dim
>
Statistics
<
dim
>::
computeAutocorrelation
(
Grid
<
Real
,
dim
>&
surface
)
{
Grid
<
Real
,
dim
>
acf
(
surface
.
sizes
(),
surface
.
getNbComponents
());
auto
psd
=
computePowerSpectrum
(
surface
);
FFTPlanManager
::
get
().
createPlan
(
acf
,
psd
).
backwardTransform
();
acf
*=
acf
.
getNbPoints
();
FFTPlanManager
::
get
().
destroyPlan
(
acf
,
psd
);
return
acf
;
}
/* -------------------------------------------------------------------------- */
template
struct
Statistics
<
1
>
;
template
struct
Statistics
<
2
>
;
__END_TAMAAS__
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