mstm_simparser.py
4.73 KB
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#this code parses the results of a simulation and stores them in a SimParserClass structure
from pylab import *
class SimParserClass:
simResults = dict()
sxNearField = 0
syNearField = 0
intersectedNearField = 0
#near field data
gridNearField = []
maxNearField = []
#the stokes matrix is read from the output
stokesMatrix = []
scatAmpMatrix = []
def __init__(self, parameters):
self.params = parameters;
self.simResults['lambda'] = list()
self.simResults['extinction_unpolarized'] = list()
self.simResults['extinction_parallel'] = list()
self.simResults['extinction_perpendicular'] = list()
self.simResults['extinction_total'] = list()
self.simResults['detector_field'] = list()
self.gridNearField = []
self.maxNearField = []
def parseSimFile(self, l, fileName):
self.simResults['lambda'].append(l)
inFile = open(fileName, 'r')
while True:
line = inFile.readline().strip()
#if the simulation is for a single plane wave
if int(self.params['fixed_or_random_orientation']) == 0:
if line == 'scattering matrix elements':
#empty the stokes matrix
self.stokesMatrix = []
inFile.readline()
for s in range(0, 181):
values = map(float, inFile.readline().strip().split())
self.stokesMatrix.append(values)
break;
elif line == 'unpolarized total ext, abs, scat efficiencies, w.r.t. xv, and asym. parm':
values = inFile.readline().strip().split(' ')
self.simResults['extinction_unpolarized'].append(values[0])
elif line == 'parallel total ext, abs, scat efficiencies':
values = inFile.readline().strip().split(' ')
self.simResults['extinction_parallel'].append(values[0])
elif line == 'perpendicular total ext, abs, scat efficiencies':
values = inFile.readline().strip().split(' ')
self.simResults['extinction_perpendicular'].append(values[0])
#if the simulation is for random orientations
else:
if line == 'scattering matrix elements':
break
elif line == 'total ext, abs, scat efficiencies, w.r.t. xv, and asym. parm':
values = inFile.readline().strip().split(' ')
self.simResults['extinction_total'].append(values[0])
def parseNearField(self, fileName):
inFile = open(fileName, 'r')
#get the size of the near field grid
line = inFile.readline().strip()
self.sxNearField, self.syNearField = map(int, line.split())
#get the number of spheres that are intersected
line = inFile.readline().strip()
self.intersectedNearField = int(line)
#process intersections here-----------
#get the field values
self.gridNearField = []
for y in range(self.syNearField):
self.gridNearField.append([])
for x in range(self.sxNearField):
line = inFile.readline().strip()
values = map(float, line.split())
self.gridNearField[y].append(values[2])
E = array(self.gridNearField)
#the enhancement is E^4 (so (E^2)^2)
self.maxNearField.append(pow(abs(E).max(), 2))
#calculate and return the scattering amplitude matrix
def calcScatteringAmp(self):
#compute the number of entries in the stokes matrix
nEntries = len(self.stokesMatrix)
#initialize the scattering amplitude matrix to empty
self.scatAmpMatrix = []
for s in range(0, nEntries):
Z = self.stokesMatrix[s]
scatEntry = []
s11 = complex(sqrt(0.5 * (Z[1] - Z[2] - Z[5] + Z[6])), 0.0)
scatEntry.append(s11)
scatEntry.append(complex(-0.5 * (Z[3] + Z[7]) / s11, 0.5 * (Z[4] + Z[8]) / s11))
scatEntry.append(complex(-0.5 * (Z[9] + Z[10]) / s11, -0.5 * (Z[13] + Z[14]) / s11))
scatEntry.append(complex(0.5 * (Z[11] + Z[12]) / s11, -0.5 * (Z[12] - Z[15]) / s11))
self.scatAmpMatrix.append(scatEntry)
S = self.scatAmpMatrix[0]
E = [S[0], S[2]]
self.simResults['detector_field'].append(E)
print(E)
def saveFile(self, fileName):
outFile = open(fileName, 'w')
outFile.write(str(self))
outFile.close()
def __getitem__(self, key):
return self.simResults[key];
def __str__(self):
result = '';
for i in range(len(self.simResults['lambda'])):
result += str(self.simResults['lambda'][i])
if int(self.params['fixed_or_random_orientation']) == 0:
result += '\t' + str(self.simResults['extinction_unpolarized'][i])
result += '\t' + str(self.simResults['extinction_parallel'][i])
result += '\t' + str(self.simResults['extinction_perpendicular'][i])
else:
result += '\t' + str(self.simResults['extinction_total'][i])
#result += '\t' + str(self.simResults['detector_field'][i][0]) + '\t' + str(self.simResults['detector_field'][i][1])
#parse the near field if it is included in the simulation
#if int(parameters['calculate_near_field']) == 1:
# result += '\t' + str(maxNearField)
result += '\n'
return result