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Fri, Jan 3, 05:30

script.py
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#!/usr/bin/python3
import mesure
from mesure import Mesure
import math
hystfile = "hysteresis.dat"
VBs = [ ("Si1mum_VB.dat" , 0.001, 1e-6, 1, 1), \
("Si2mum_VB.dat" , 0.001, 2e-6, 1, 1), \
("Ag_VB.dat" , 2.0, 1.9e-6, 1, 1e3), \
("Cu_VB.dat" , 2.0, 1.6e-6, 1, 1e3), \
("InSn_VB.dat" , 0.1, 1.5e-7, 1, 1e3) ]
VIs = [ ("Si1mum_VI.dat" , 0.41, 1e-6, 1e3, 1), \
("Si2mum_VI.dat" , 0.421, 2e-6, 1e3, 1), \
("Ag_VI.dat" , 0.437, 1.9e-6, 1, 1e3), \
("Cu_VI.dat" , 0.376, 1.6e-6, 1, 1e3), \
("InSn_VI.dat" , 0.399, 1.5e-7, 1e3, 1e3) ]
def hystFit(r):
I = mesure.loadMesures("rawdata/" + hystfile, "I", "errI") #A
B = mesure.loadMesures("rawdata/" + hystfile, "B", "errB") #mT
index = 0
change = False
while(not change):
if I[index].v >= 0:
break
index += 1
X = []
Y = []
for i in range(len(I)):
if math.fabs(I[i]) < r:
X.append(I[i])
Y.append(B[i])
(m, q) = mesure.linearRegression(X, Y)
print("B in function of I: B = (%s) * I + (%s)" % (str(m), str(q)))
return (m, q)
def computeRH(infile, what, fixed, a, gain = (1, 1), discard = 0, Bfit = None):
print("Processing:", infile)
X = mesure.loadMesures("rawdata/" + infile, 'I', 'errI', gain[0])
V = mesure.loadMesures("rawdata/" + infile, 'V', 'errV', gain[1])
if what == 'B':
if Bfit is None:
Bfit = hystFit(3)
out = open("outs/" + infile, 'w')
out.write("B V errB errV\n")
for i in range(len(X)):
X[i] = Bfit[0] * X[i] + Bfit[1]
out.write("%f %f %f %f\n" % (X[i].v * 1e3, V[i].v * gain[1], X[i].e * 1e3, V[i].e * gain[1]))
out.close()
if discard > 0:
V = V[discard : -discard]
X = X[discard : -discard]
(m, q) = mesure.linearRegression(X, V)
print("V in function of %s: V = (%s) * %s + (%s)" % (what, str(m), what, str(q)))
Rh = m * a / fixed
print("Rh: %g +- %g" % (Rh.v, Rh.e))
Bfit = hystFit(3.0)
for vb in VBs:
computeRH(vb[0], 'B', vb[1], vb[2], (vb[3], vb[4]), 0, Bfit)
for vi in VIs:
computeRH(vi[0], 'I', vi[1], vi[2], (vi[3], vi[4]), 0, Bfit)

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