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FigureOfMeritPlotter.py
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FigureOfMeritPlotter.py
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#!/usr/bin/env python
"""
------------------------------------------------------------------------
Script to parse and visualize results created by mimrec:
Author: Daniel Kocevski ([email protected])
Date: August 25st, 2016
Usage Examples:
import FigureOfMeritPlotter
# Get the number of triggered and simulated events for a set of simulation files
# Import Mimrec data
simulationIDs = '../Simulations/PerformancePlotSourceFiles/FarFieldPointSourceIDs.txt'
data = FigureOfMeritPlotter.parseMimrecLogs(simulationIDs=simulationIDs)
# Import EventAnalysis data (Check the EventAnalysis doc string to see how to generate the TriggerEfficiency.txt file)
directory = '../Simulations/MyCustomSimulationRun'
triggerEfficiencyFilename = "../Simulations/MyCustomSimulationRun/TriggerEfficiency.txt"
data = FigureOfMeritPlotter.parseEventAnalysisLogs(directory, triggerEfficiencyFilename=triggerEfficiencyFilename)
# Effecitive Area vs Energy
FigureOfMeritPlotter.plotEffectiveArea(data)
# Effecitive Area vs Angle
FigureOfMeritPlotter.plotEffectiveAreaVsAngle(data)
# Energy Resolution vs Energy
FigureOfMeritPlotter.plotEnergyResolution(data)
# Energy Resolution vs Angle
FigureOfMeritPlotter.plotEnergyResolutionVsAngle(data)
# Angular Resolution vs Energy
FigureOfMeritPlotter.plotAngularResolution(data)
# Angular Resolution vs Angle
FigureOfMeritPlotter.plotAngularResolutionVsAngle(data)
# Sensitivity Curves
FigureOfMeritPlotter.plotSourceSensitivity(data)
------------------------------------------------------------------------
"""
import fileinput
import glob
import sys
import os
import numpy
import matplotlib
import matplotlib.pylab as plot
import math
from astropy.io import ascii
from astropy.table import Table
from scipy import interpolate, nansum
matplotlib.rcParams.update({'font.size': 14})
colors = ['red', 'blue', 'green', 'orange', 'brown', 'purple', 'darkred']
##########################################################################################
def omega(PSF):
psf=numpy.array(PSF).astype(float)
omega_solidAngle = 2*math.pi*(1-numpy.cos(2*psf*math.pi/180.))
return omega_solidAngle
##########################################################################################
def Isrc(E,time, Aeff, nsig, domega, Bbkg):
# print E
# print time
# print Aeff
# print nsig
# print domega
# print Bbkg
arg = numpy.sqrt((nsig**4/4.)+(nsig**2*Bbkg*Aeff*time*domega/E))
num = E/(Aeff*time)*(nsig**2/2+arg)
return num
##########################################################################################
def parseSimLog(filename):
for line in fileinput.input([filename]):
# Parse the lines
if 'ID ' in line:
numberOfSimulatedEvents = float(line.split()[2])
fileinput.close()
return numberOfSimulatedEvents
##########################################################################################
def getMimrecValues(filename, interactionType, verbose=False):
# Return nan values if the file doesn't exist
if os.path.isfile(filename) == False:
if 'Pair' in interactionType:
return numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan
else:
return numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan
RMS = []
FWHM = []
Containment68 = None
# Read the file line by line
for line in fileinput.input([filename]):
# Parse the lines
if '1 Constant' in line:
Constant = float(line.split()[2])
ConstantError = float(line.split()[3])
if '2 Mean' in line:
Mean = float(line.split()[2])
MeanError = float(line.split()[3])
if '3 Sigma' in line:
Sigma = float(line.split()[2])
SigmaError = float(line.split()[3])
if 'RMS: ' in line:
RMS.append(float(line.split()[1]))
if 'Pair' in interactionType:
if '0.68% containment:' in line and Containment68 == None:
Containment68 = float(line.split()[2])
if 'Pair events in histogram:' in line:
NumberOfReconstructedEvents = float(line.split()[4])
else:
if 'Total FWHM of fit (not of data!): ' in line:
FWHM.append(float(line.split()[7]))
if 'Compton and pair events in histogram: ' in line:
NumberOfReconstructedEvents = float(line.split()[6])
# Close the input
fileinput.close()
# Return the results
if 'Pair' in interactionType:
return Constant, ConstantError, Mean, MeanError, Sigma, SigmaError, Containment68, NumberOfReconstructedEvents
else:
return Constant, ConstantError, Mean, MeanError, Sigma, SigmaError, RMS[-2], FWHM[-2], NumberOfReconstructedEvents
##########################################################################################
def parseMimrecLogs(sumlationsIDs=None):
# Define the path to the python repository
pythonPath = os.path.dirname(os.path.realpath(__file__))
# Define the root path containg the ComPair repositories
rootPath = pythonPath.replace('python','')
# Define the PerformancePlotSourceFiles path
sourceDirectory = rootPath + 'Simulations/PerformancePlotSourceFiles'
# Define the PerformancePlotMimrecFiles path
mimrecDirectory = rootPath + 'Simulations/PerformancePlotMimrecFiles'
# Define the PerformancePlotTraFiles path
traDirectory = rootPath + 'Simulations/PerformancePlotTraFiles'
if sumlationsIDs == None:
sumlationsIDs = sourceDirectory + '/FarFieldPointSourceIDs.txt'
# Create a dictionary to store the data
data = {}
# Read the sim file
with open(sumlationsIDs) as filehandle:
lines = filehandle.readlines()
currentNumber = 1
print('parsing mimrec logs...')
# Loop through each of the lines
for line in lines:
lineContents = line.split()
simulationName = lineContents[0].split('.inc')[0]
simulationFilename = lineContents[0].replace(':ID','')
NumberOfSimulatedEvents = lineContents[2]
# Enter an empty list for the initial value to which the results will be appended
data[simulationName] = []
# Add the number of simulated to the results dictionary
data[simulationName].append(NumberOfSimulatedEvents)
# Generate the mimrec log names
mimrecFilename_tracked = mimrecDirectory + '/' + simulationFilename.replace('.sim', '.mimrec_tracked.log')
mimrecFilename_untracked = mimrecDirectory + '/' + simulationFilename.replace('.sim', '.mimrec_untracked.log')
mimrecFilename_pair = mimrecDirectory + '/' + simulationFilename.replace('.sim', '.mimrec_pair.log')
# Get the mimrec figures of merit and add the dictionary
# print "Parsing: %s" % mimrecFilename_tracked
Constant, ConstantError, Mean, MeanError, Sigma, SigmaError, RMS, FWHM, NumberOfReconstructedEvents = getMimrecValues(mimrecFilename_tracked, interactionType='Compton')
data[simulationName].append([Constant, ConstantError, Mean, MeanError, Sigma, SigmaError, RMS, FWHM, NumberOfReconstructedEvents])
# Get the mimrec figures of merit and add the dictionary
# print "Parsing: %s" % mimrecFilename_untracked
Constant, ConstantError, Mean, MeanError, Sigma, SigmaError, RMS, FWHM, NumberOfReconstructedEvents = getMimrecValues(mimrecFilename_untracked, interactionType='Compton')
data[simulationName].append([Constant, ConstantError, Mean, MeanError, Sigma, SigmaError, RMS, FWHM, NumberOfReconstructedEvents])
# Get the mimrec figures of merit and add the dictionary
# print "Parsing: %s" % mimrecFsilename_pair
Constant, ConstantError, Mean, MeanError, Sigma, SigmaError, Containment68, NumberOfReconstructedPairEvents = getMimrecValues(mimrecFilename_pair, interactionType='Pair')
data[simulationName].append([Constant, ConstantError, Mean, MeanError, Sigma, SigmaError, Containment68, NumberOfReconstructedPairEvents])
currentNumber = currentNumber + 1
print('Done.')
return data
##########################################################################################
def parseEventAnalysisLogs(directory, triggerEfficiencyFilename=None, silent=False):
if triggerEfficiencyFilename == None:
triggerEfficiencyFilename = directory + '/TriggerEfficiency.txt'
# Read the sim file
with open(triggerEfficiencyFilename) as filehandle:
triggerEfficiencyLines = filehandle.readlines()
# Create a dictionary to store the data
data = {}
for triggerEfficiencyLine in triggerEfficiencyLines:
lineContents = triggerEfficiencyLine.split()
# Get the filename
simulationName = lineContents[0].split('/')[-1]
# Create a key for this simulation name
data[simulationName] = []
# Get the number of triggered and simulated events
numberOfTriggeredEvents = lineContents[1]
numberOfSimulatedEvents = lineContents[2]
# Add the number of simulated to the results dictionary
data[simulationName].append(numberOfSimulatedEvents)
# Generate the log filename
analysisLog = directory + '/' + simulationName.replace('.sim', '.log')
try:
if silent==False:
print("Parsing: %s" % analysisLog)
with open(analysisLog) as filehandle:
analysisLogLines = filehandle.readlines()
except:
print("*** Could not find log file: %s" % analysisLog)
# Loop through the analysis log file
numberOfPairEventsIdeal = None
for analysisLogLine in analysisLogLines:
if "Results for simulation:" in analysisLogLine:
analysisLogLine = analysisLogLine.replace("Results for simulation: ",'')
energy, energySearchUnit, cos, angle, filename = analysisLogLine.split()
if "Compton Events Reconstructed: " in analysisLogLine:
numberOfComptonEvents = analysisLogLine.split()[-1]
if "Compton Energy Resolution (keV): " in analysisLogLine:
FWHM_energyComptonEvents = analysisLogLine.split()[-1]
if "Compton Angular Resolution (deg): " in analysisLogLine:
FWHM_angleComptonEvents = analysisLogLine.split()[-1]
if "Untracked Compton Events Reconstructed: " in analysisLogLine:
numberOfUntrackedComptonEvents = analysisLogLine.split()[-1]
if "Untracked Compton Energy Resolution (keV): " in analysisLogLine:
FWHM_energyUntrackedComptonEvents = analysisLogLine.split()[-1]
if "Untracked Compton Angular Resolution (deg): " in analysisLogLine:
FWHM_angleUntrackedComptonEvents = analysisLogLine.split()[-1]
if "Tracked Compton Events Reconstructed: " in analysisLogLine:
numberOfTrackedComptonEvents = analysisLogLine.split()[-1]
if "Tracked Compton Energy Resolution (keV): " in analysisLogLine:
FWHM_energyTrackedComptonEvents = analysisLogLine.split()[-1]
if "Tracked Compton Angular Resolution (deg): " in analysisLogLine:
FWHM_angleTrackedComptonEvents = analysisLogLine.split()[-1]
if "Pair Events Reconstructed: " in analysisLogLine:
numberOfPairEvents = analysisLogLine.split()[-1]
if "Pair Energy Resolution (keV): " in analysisLogLine:
FWHM_pairEvents = analysisLogLine.split()[-1]
if "Pair Angular Containment " in analysisLogLine:
contaimentData_68 = analysisLogLine.split()[-1]
if "Events Not Reconstructed Flagged as Bad" in analysisLogLine:
numberOfNotReconstructedEvents = analysisLogLine.split()[-1]
if "Pair Events Ideal: " in analysisLogLine:
numberOfPairEventsIdeal = analysisLogLine.split()[-1]
print("pair events ideal: ", numberOfPairEventsIdeal)
# Add all the values to the results dictionary
if numberOfPairEventsIdeal is None:
numberOfPairEventsIdeal = numpy.nan
holder=-999. # This is required for historic reasons
if float(energy) <=30.0:
data[simulationName].append([holder, holder, holder, holder, FWHM_energyComptonEvents, holder, holder, FWHM_angleComptonEvents, numberOfComptonEvents])
data[simulationName].append([holder, holder, holder, holder, FWHM_energyTrackedComptonEvents, holder, holder, FWHM_angleTrackedComptonEvents, numberOfTrackedComptonEvents])
data[simulationName].append([holder, holder, holder, holder, FWHM_energyUntrackedComptonEvents, holder, holder, FWHM_angleUntrackedComptonEvents, numberOfUntrackedComptonEvents])
else:
data[simulationName].append([numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan])
data[simulationName].append([numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan])
data[simulationName].append([numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan])
# if float(energy) >=1.0:
# data[simulationName].append([holder, holder, holder, holder, FWHM_pairEvents, holder, contaimentData_68, numberOfPairEvents, numberOfNotReconstructedEvents])
if float(energy) >=3.0:
data[simulationName].append([holder, holder, holder, holder, FWHM_pairEvents, numberOfPairEventsIdeal, contaimentData_68, numberOfPairEvents, numberOfNotReconstructedEvents])
else:
data[simulationName].append([numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan, numpy.nan])
return data
##########################################################################################
def plotAngularResolution(data, angleSelections=[1,0.9,0.8,0.7,0.6,0.5], xlog=True, ylog=False,
save=False, collapse=False, doplot=True, txtOutfileLabel='xxx'):
if hasattr(angleSelections, '__iter__') == False:
angleSelections = [angleSelections]
plotNumber = 1
if doplot:
if len(angleSelections)==1:
plot.figure(figsize=(8,6))
elif collapse == False:
# Create the new subplot
plot.figure(figsize=(10,12))
else:
#print "collapse!"
plot.figure(figsize=(10, 6.39))
ax = plot.subplot(111)
for angleSelection in angleSelections:
results_txt_TC = open(f"{txtOutfileLabel}_AngRes_Cos{angleSelection}_TC.txt", 'w')
results_txt_UC = open(f"{txtOutfileLabel}_AngRes_Cos{angleSelection}_UC.txt", 'w')
results_txt_P = open(f"{txtOutfileLabel}_AngRes_Cos{angleSelection}_P.txt", 'w')
Energy = []
FWHM_tracked = []
FWHM_untracked = []
Containment68 = []
for key in data.keys():
energy = float(key.split('_')[1].replace('MeV',''))
#angle = float(key.split('_')[2].replace('Cos',''))
half = key.split('_')[2].replace('Cos','')
angle = float(half.replace('.inc1.id1.sim',''))
if angle == angleSelection:
Energy.append(energy)
fwhm_tracked = data[key][2][7]
fwhm_untracked = data[key][3][7]
containment68 = data[key][4][6]
FWHM_tracked.append(fwhm_tracked)
FWHM_untracked.append(fwhm_untracked)
Containment68.append(containment68)
# Convert everything to a numpy array
Energy = numpy.array(Energy)
FWHM_tracked = numpy.array(FWHM_tracked)
FWHM_untracked = numpy.array(FWHM_untracked)
Containment68 = numpy.array(Containment68)
# Sort by energy
t = [numpy.argsort(Energy)]
Energy = Energy[t]
FWHM_tracked = FWHM_tracked[t]
FWHM_untracked = FWHM_untracked[t]
Containment68 = Containment68[t]
# remove nan's
i=FWHM_tracked != 'nan'
st=numpy.double(FWHM_tracked)
j=FWHM_untracked != 'nan'
sut=numpy.double(FWHM_untracked)
k=Containment68 != 'nan'
sp=numpy.double(Containment68)
# writing txt files
results_txt_TC.write("# Energy[MeV] AngRes_TkrCompton[deg]\n")
for ii, en in enumerate(Energy[i]):
results_txt_TC.write("%.1f\t%.1f\n"%(en, st[i][ii]))
results_txt_TC.close()
print('Created %s_AngRes_Cos%s_TC.txt ...!'%(txtOutfileLabel, angleSelection))
results_txt_UC.write("# Energy[MeV] AngRes_UntkrCompton[deg]\n")
for ii, en in enumerate(Energy[j]):
results_txt_UC.write("%.1f\t%.1f\n"%(en, sut[j][ii]))
results_txt_UC.close()
print('Created %s_AngRes_Cos%s_UC.txt ...!'%(txtOutfileLabel, angleSelection))
results_txt_P.write("# Energy[MeV] AngRes_Pair[deg]\n")
for ii, en in enumerate(Energy[k]):
results_txt_P.write("%.1f\t%.1f\n"%(en, sp[k][ii]))
results_txt_P.close()
print('Created %s_AngRes_Cos%s_P.txt ...!'%(txtOutfileLabel, angleSelection))
# plot the data
if doplot:
if collapse == False:
ax = plot.subplot( str(len(angleSelections)) + str(10 + plotNumber) )
plot.scatter(Energy[i],st[i],color='darkgreen')
plot.plot(Energy[i], st[i], color='darkgreen', alpha=0.5, label='Tracked Compton',lw=2)
#plot.plot(Energy[i], st[i], color='darkgreen', alpha=0.5, label='Compton', lw=2)
#plot.scatter(Energy[j],sut,color='blue')
#plot.plot(Energy[j], sut, color='blue', alpha=0.5, label='Compton (untracked)')
plot.scatter(Energy[j],sut[j],color='blue')
plot.plot(Energy[j], sut[j], color='blue', alpha=0.5, label='Untracked Compton', lw=2)
plot.scatter(Energy[k],sp[k],color='darkred')
plot.plot(Energy[k],sp[k], color='darkred', alpha=0.5, label='Pair', lw=2)
#plot.text(0.015, 0.8, '%i$^\circ$' % round(numpy.degrees(numpy.arccos(angleSelection))),
# verticalalignment='bottom', horizontalalignment='left',
# transform=ax.transAxes, color='black', fontsize=16)
else:
angle = round(numpy.degrees(numpy.arccos(angleSelection)))
plot.scatter(Energy[i],st[i], color=colors[plotNumber-1])
plot.plot(Energy[i], st[i], color=colors[plotNumber-1], alpha=0.5, lw=2, label='Compton at %i$^\circ$' % angle)
plot.scatter(Energy[j],sut, color=colors[plotNumber-1])
plot.plot(Energy[j], sut, color=colors[plotNumber-1], alpha=0.5, linestyle='-.', lw=2)
plot.scatter(Energy[k],sp[k], color=colors[plotNumber-1])
plot.plot(Energy[k],sp[k], color=colors[plotNumber-1], alpha=0.5, linestyle='--', lw=2, label='Pair at %i$^\circ$' % angle)
if plotNumber == len(angleSelections):
#plot.title('Angular Resolution')
plot.legend(numpoints=1, scatterpoints=1, fontsize=16, frameon=True, loc='upper right')
if xlog == True:
plot.xscale('log')
if ylog == True:
plot.yscale('log')
plot.ylabel('Angular Resolution ($^{\circ}$)')
if plotNumber != len(angleSelections) and collapse== False:
ax.set_xticklabels([])
if plotNumber == len(angleSelections):
plot.xlabel('Energy (MeV)', fontsize=16)
plot.gca().set_ylim([0.,20.])
plot.subplots_adjust(wspace=0, hspace=.2)
if save:
plot.savefig('AngularResolution_Cos%s.pdf' % angleSelections[0])
plot.savefig('AngularResolution_Cos%s.png' % angleSelections[0])
plot.show()
plot.close()
plotNumber = plotNumber + 1
return Energy,st,sp
##########################################################################################
def plotAngularResolutionVsAngle(data, energySelections=None, xlog=False, ylog=False, save=False, collapse=False):
plotNumber = 1
if energySelections is None:
plot.figure(figsize=(10,12))
Energy = []
for key in data.keys():
energy = float(key.split('_')[1].replace('MeV',''))
if energy not in Energy:
Energy.append(energy)
Energy=numpy.array(Energy)
i = [numpy.argsort(Energy)]
energySelections = Energy[i]
else:
if type(energySelections) == float or type(energySelections) == int:
energySelections=[energySelections]
energySelections.sort(key=int)
energySelections=numpy.array(energySelections,dtype=float)
if collapse == True:
plot.figure(figsize=(10, 6.39))
ax = plot.subplot(111)
if len(energySelections)>6:
energySelections=energySelections[[1,3,5,7,9,11]]
print("plotting only every other energy: ", energySelections)
for energySelection in energySelections:
Angle = []
FWHM_tracked = []
FWHM_untracked = []
Containment68 = []
for key in data.keys():
energy = float(key.split('_')[1].replace('MeV',''))
#angle = float(key.split('_')[2].replace('Cos',''))
half = key.split('_')[2].replace('Cos','')
angle = numpy.array(float(half.replace('.inc1.id1.sim','')))
angle = round(numpy.degrees(numpy.arccos(angle)))
if energy == energySelection:
Angle.append(angle)
fwhm_tracked = data[key][2][7]
fwhm_untracked = data[key][3][7]
containment68 = data[key][4][6]
FWHM_tracked.append(fwhm_tracked)
FWHM_untracked.append(fwhm_untracked)
Containment68.append(containment68)
# Convert everything to a numpy array
Angle = numpy.array(Angle)
FWHM_tracked = numpy.array(FWHM_tracked)
FWHM_untracked = numpy.array(FWHM_untracked)
Containment68 = numpy.array(Containment68)
# Sort by Angle
i = [numpy.argsort(Angle)]
Angle = Angle[i]
FWHM_tracked = FWHM_tracked[i]
FWHM_untracked = FWHM_untracked[i]
Containment68 = Containment68[i]
# Plot the data
if collapse==False:
ax = plot.subplot( str(len(energySelections)) + str(10 + plotNumber) )
plot.scatter(Angle,FWHM_tracked,color='darkgreen')
plot.plot(Angle, FWHM_tracked, color='darkgreen', alpha=0.5, label='Compton', lw=2)
#plot.scatter(Angle,FWHM_untracked,color='blue')
#plot.plot(Angle, FWHM_untracked, color='blue', alpha=0.5, label='Compton (untracked)', lw=2)
plot.scatter(Angle,sp,color='darkred')
plot.plot(Angle,sp, color='darkred', alpha=0.5, label='Pair', lw=2)
plot.text(0.015, 0.8, '%s MeV' % energySelection,
verticalalignment='bottom', horizontalalignment='left',
transform=ax.transAxes,
color='black', fontsize=16)
else:
if energySelection<3.:
plot.scatter(Angle,FWHM_tracked, color=colors[plotNumber-1])
plot.plot(Angle, FWHM_tracked, color=colors[plotNumber-1], alpha=0.5,
lw=2, label='Compton at %s MeV' % energySelection)
#plot.scatter(Angle,FWHM_untracked, color=colors[plotNumber-1])
#plot.plot(Angle, FWHM_untracked, color=colors[plotNumber-1], alpha=0.5, lw=2, linestyle='-.')
#print Containment68
if energySelection>3.:
#print Containment68[0], Angle, energySelection
plot.scatter(Angle,Containment68, color=colors[plotNumber-1])
plot.plot(Angle,Containment68, color=colors[plotNumber-1], alpha=0.5, label='Pair at %s MeV' % energySelection,
lw=2, linestyle='--')
if plotNumber == len(energySelections):
#plot.title('Angular Resolution')
plot.legend(numpoints=1, scatterpoints=1, fontsize=16, frameon=True, loc='upper right')
if xlog:
plot.xscale('log')
if ylog:
plot.yscale('log')
plot.ylabel('Angular Resolution ($^{\circ}$)', fontsize=16)
if plotNumber == len(energySelections):
plot.xlabel(r'$\theta$', fontsize=16)
plotNumber = plotNumber + 1
plot.ylim([1.0,10])
plot.subplots_adjust(wspace=0, hspace=.2)
if save:
plot.savefig('AngularResolutionVsAngle_%sMeV.pdf' % energySelections[0])
plot.savefig('AngularResolutionVsAngle_%sMeV.png' % energySelections[0])
plot.show()
plot.close()
##########################################################################################
def plotEnergyResolution(data, angleSelections=[1,0.9,0.8,0.7,0.6,0.5], xlog=True, ylog=False,
save=False, collapse=False, txtOutfileLabel='xxx'):
if hasattr(angleSelections, '__iter__') == False:
angleSelections = [angleSelections]
plotNumber = 1
if len(angleSelections)==1:
plot.figure(figsize=(8,6))
elif collapse == False:
# Create the new subplot
plot.figure(figsize=(10,12))
else:
plot.figure(figsize=(10, 6.39))
ax = plot.subplot(111)
for angleSelection in angleSelections:
results_txt_TC = open( '%s_EnRes_Cos%s_TC.txt' % (txtOutfileLabel, angleSelection), 'w')
results_txt_UC = open( '%s_EnRes_Cos%s_UC.txt' % (txtOutfileLabel, angleSelection), 'w')
results_txt_P = open( '%s_EnRes_Cos%s_P.txt' % (txtOutfileLabel, angleSelection), 'w')
Energy = []
Sigma_tracked = []
Sigma_untracked = []
Sigma_pair = []
# print 'Name, fwhm_tracked, fwhm_untracked, containment'
for key in data.keys():
energy = float(key.split('_')[1].replace('MeV',''))
#angle = float(key.split('_')[2].replace('Cos',''))
half = key.split('_')[2].replace('Cos','')
angle = numpy.array(float(half.replace('.inc1.id1.sim','')))
if angle == angleSelection:
Energy.append(energy)
Sigma_tracked.append(data[key][2][4])
Sigma_untracked.append(data[key][3][4])
Sigma_pair.append(data[key][4][4])
# Convert everything to a numpy array
Energy = numpy.array(Energy)
Sigma_tracked = numpy.array(Sigma_tracked)
Sigma_untracked = numpy.array(Sigma_untracked)
Sigma_pair = numpy.array(Sigma_pair)
# Sort by energy
i = [numpy.argsort(Energy)]
Energy = Energy[i]
Sigma_tracked = Sigma_tracked[i]
Sigma_untracked = Sigma_untracked[i]
Sigma_pair = Sigma_pair[i]
# Remove the nan's
i=Sigma_tracked != 'nan'
#st=numpy.double(Sigma_tracked[i])/numpy.double(Energy[i])*1e-3
st=numpy.double(Sigma_tracked[i])/numpy.double(Energy[i])*1e-3*2.355
j=Sigma_untracked != 'nan'
#sut=numpy.double(Sigma_untracked[j])/numpy.double(Energy[j])*1e-3
sut=numpy.double(Sigma_untracked[j])/numpy.double(Energy[j])*1e-3*2.355
k=Sigma_pair != 'nan'
#sp=numpy.double(Sigma_pair[k])/numpy.double(Energy[k])*1e-3
sp=numpy.double(Sigma_pair[k])/numpy.double(Energy[k])*1e-3*2.355
# writing txt files
results_txt_TC.write("# Energy[MeV] EnRes_TkrCompton[FWHM/Energy]\n")
for ii, en in enumerate(Energy[i]):
results_txt_TC.write("%.1f\t%.3f\n"%(en, st[ii]))
results_txt_TC.close()
print('Created %s_EnRes_Cos%s_TC.txt ...!'%(txtOutfileLabel, angleSelection))
results_txt_UC.write("# Energy[MeV] EnRes_UntkrCompton[FWHM/Energy]\n")
for ii, en in enumerate(Energy[j]):
results_txt_UC.write("%.1f\t%.3f\n"%(en, sut[ii]))
results_txt_UC.close()
print('Created %s_EnRes_Cos%s_UC.txt ...!'%(txtOutfileLabel, angleSelection))
results_txt_P.write("# Energy[MeV] EnRes_Pair[FWHM/Energy]\n")
for ii, en in enumerate(Energy[k]):
results_txt_P.write("%.1f\t%.3f\n"%(en, sp[ii]))
results_txt_P.close()
print('Created %s_EnRes_Cos%s_P.txt ...!'%(txtOutfileLabel, angleSelection))
# Print the data
if collapse==False:
ax = plot.subplot( str(len(angleSelections)) + str(10 + plotNumber) )
plot.scatter(Energy[i],st,color='darkgreen')
#plot.plot(Energy[i], st, color='darkgreen', alpha=0.5, lw=2, label='Compton')
plot.plot(Energy[i], st, color='darkgreen', alpha=0.5, lw=2, label='Tracked Compton')
plot.scatter(Energy[j],sut,color='blue')
plot.plot(Energy[j], sut, color='blue', alpha=0.5, lw=2, label='Untracked Compton')
#plot.scatter(Energy[k],sp,color='darkred')
#plot.plot(Energy[k],sp, color='darkred', alpha=0.5, lw=2, label='Pair')
#plot.text(1-0.015, 0.8, u'%i\N{DEGREE SIGN}' % round(numpy.degrees(numpy.arccos(angleSelection))),
# verticalalignment='bottom', horizontalalignment='right',
# transform=ax.transAxes,
# color='black', fontsize=16)
else:
angle = round(numpy.degrees(numpy.arccos(angleSelection)))
plot.scatter(Energy[i],st, color=colors[plotNumber-1])
plot.plot(Energy[i], st, color=colors[plotNumber-1], alpha=0.5, lw=2, label='Compton at %i$^\circ$' % angle)
plot.scatter(Energy[j][1:-1], sut[1:-1], color=colors[plotNumber-1])
plot.plot(Energy[j][1:-1], sut[1:-1], color=colors[plotNumber-1], alpha=0.5, linestyle='-.', label='Compton Untracked at %i$^\circ$' % angle, lw=2)
#plot.scatter(Energy[j][1:-1], sut[1:-1], color=colors[plotNumber-1])
#plot.plot(Energy[j][1:-1], sut[1:-1], color=colors[plotNumber-1], alpha=0.5, linestyle='-.', label='Compton Untracked at %i$^\circ$' % angle, lw=2)
plot.scatter(Energy[k],sp, color=colors[plotNumber-1])
plot.plot(Energy[k],sp, color=colors[plotNumber-1], alpha=0.5, linestyle='--', lw=2, label='Pair at %i$^\circ$' % angle)
if plotNumber == len(angleSelections):
#plot.title('Energy Resolution')
plot.legend(numpoints=1, scatterpoints=1, fontsize=16, frameon=True, loc='lower left')
plot.gca().set_ylim([0.,0.12])
plot.gca().set_xlim([0.14, 11])
if xlog:
plot.xscale('log')
plot.gca().set_ylim([0.0,0.12])
if ylog:
plot.yscale('log')
#plot.ylabel(r'$\sigma$ / Energy')
plot.ylabel(r'Energy Resolution (FWHM / Energy)')
if plotNumber != len(angleSelections):
ax.set_xticklabels([])
if plotNumber == len(angleSelections):
plot.xlabel(r'Energy (MeV)')
plotNumber = plotNumber + 1
plot.subplots_adjust(wspace=0, hspace=.2)
if save:
plot.savefig('EnergyResolution_Cos%s.pdf' % angleSelections[0])
plot.savefig('EnergyResolution_Cos%s.png' % angleSelections[0])
plot.show()
plot.close()
return Energy,st,sp
##########################################################################################
def plotEnergyResolutionVsAngle(data, energySelections=None, xlog=False, ylog=False, save=False, collapse=False):
plotNumber = 1
if energySelections is None:
plot.figure(figsize=(10,12))
Energy = []
for key in data.keys():
energy = float(key.split('_')[1].replace('MeV',''))
if energy not in Energy:
Energy.append(energy)
Energy=numpy.array(Energy)
i = [numpy.argsort(Energy)]
energySelections = Energy[i]
else:
if type(energySelections) == float or type(energySelections) == int:
energySelections=[energySelections]
energySelections.sort(key=int)
energySelections=numpy.array(energySelections,dtype=float)
if collapse == True:
plot.figure(figsize=(10, 6.39))
ax = plot.subplot(111)
if len(energySelections)>6:
print("plotting only every other energy")
energySelections=energySelections[[1,3,5,7,9,11]]
for energySelection in energySelections:
Angle = []
Sigma_tracked = []
Sigma_untracked = []
Sigma_pair = []
# print 'Name, fwhm_tracked, fwhm_untracked, containment'
for key in data.keys():
energy = float(key.split('_')[1].replace('MeV',''))
#angle = float(key.split('_')[2].replace('Cos',''))
half = key.split('_')[2].replace('Cos','')
angle = numpy.array(float(half.replace('.inc1.id1.sim','')))
if energy == energySelection:
Angle.append(angle)
Sigma_tracked.append(data[key][2][4])
Sigma_untracked.append(data[key][3][4])
Sigma_pair.append(data[key][4][4])
# Convert everything to a numpy array
Angle = numpy.degrees(numpy.arccos(Angle))
Angle = numpy.array(Angle)
Sigma_tracked = numpy.array(Sigma_tracked)
Sigma_untracked = numpy.array(Sigma_untracked)
Sigma_pair = numpy.array(Sigma_pair)
# Sort by energy
i = [numpy.argsort(Angle)]
Angle = Angle[i]
Sigma_tracked = Sigma_tracked[i]
Sigma_untracked = Sigma_untracked[i]
Sigma_pair = Sigma_pair[i]
# Removing nan's
i=Sigma_tracked == 'nan'
st=numpy.double(numpy.ma.array(Sigma_tracked,mask=i).compressed())/numpy.double(energySelection)*1.0e-3
j=Sigma_untracked == 'nan'
sut=numpy.double(numpy.ma.array(Sigma_untracked,mask=j).compressed())/numpy.double(energySelection)*1e-3
k=Sigma_pair == 'nan'
sp=numpy.double(numpy.ma.array(Sigma_pair,mask=k).compressed())/numpy.double(energySelection)*1e-3
# Plot the data
if collapse==False:
ax = plot.subplot( str(len(energySelections)) + str(10 + plotNumber) )
plot.plot(numpy.ma.array(Angle,mask=i).compressed(), st, color='darkgreen', alpha=0.75, lw=2, label='Compton', marker='o')
#plot.plot(numpy.ma.array(Angle,mask=j).compressed(), sut, color='blue', alpha=0.75, lw=2, label='Compton (untracked)', marker='o')
plot.plot(numpy.ma.array(Angle,mask=k).compressed(), sp, color='darkred', alpha=0.75, lw=2, label='Pair', marker='o')
plot.text(1-0.015, 0.8, '%s MeV' % energySelection,
verticalalignment='top', horizontalalignment='right',
transform=ax.transAxes,
color='black', fontsize=16)
else:
if energySelection<3.:
#plot.scatter(numpy.ma.array(Angle,mask=i).compressed(), st, colors[plotNumber-1])
plot.plot(numpy.ma.array(Angle,mask=i).compressed(), st, colors[plotNumber-1],
alpha=0.75, lw=2, label='Compton at %s MeV' % energySelection)
#plot.scatter(numpy.ma.array(Angle,mask=j).compressed(), sut, colors[plotNumber-1])
#plot.plot(numpy.ma.array(Angle,mask=j).compressed(), sut, colors[plotNumber-1],
# alpha=0.75, lw=2, label='Compton untracked at %s MeV' % energySelection, linestyle='-.')
if energySelection>3.:
#plot.scatter(numpy.ma.array(Angle,mask=k).compressed(), sp, colors[plotNumber-1])
plot.plot(numpy.ma.array(Angle,mask=k).compressed(), sp, colors[plotNumber-1],
alpha=0.75, lw=2, label='Pair at %s MeV' % energySelection, linestyle='--')
if plotNumber == len(energySelections):
#plot.title('Energy Resolution')
plot.legend(numpoints=1, scatterpoints=1, fontsize=16, frameon=True, loc='upper right')
if xlog:
plot.xscale('log')
if ylog:
plot.yscale('log')
plot.ylabel(r'$\sigma$ / Energy')
plot.xlim([0,60])
if plotNumber == len(energySelections):
plot.xlabel(r'$\theta$ (deg)')
plotNumber = plotNumber + 1
plot.subplots_adjust(wspace=0, hspace=.2)
if save:
plot.savefig('EnergyResolutionVsAngle_%sMeV.pdf' % energySelections[0])
plot.savefig('EnergyResolutionVsAngle_%sMeV.png' % energySelections[0])
plot.show()
plot.close()
##########################################################################################
def plotEffectiveArea(data, angleSelections=[1,0.9,0.8,0.7,0.6,0.5], ideal=False, xlog=True,
ylog=False, save=False, show=True, collapse=False,
SurroundingSphere=150, txtOutfileLabel='xxx'):
if hasattr(angleSelections, '__iter__') == False:
angleSelections = [angleSelections]
plotNumber = 1
if len(angleSelections)==1:
plot.figure(figsize=(8,6))
elif collapse == False:
# Create the new subplot
plot.figure(figsize=(10,12))
else:
plot.figure(figsize=(10, 6.39))
ax = plot.subplot(111)
for angleSelection in angleSelections:
results_txt_TC = open( '%s_Aeff_Cos%s_TC.txt' % (txtOutfileLabel, angleSelection), 'w')
results_txt_UC = open( '%s_Aeff_Cos%s_UC.txt' % (txtOutfileLabel, angleSelection), 'w')
results_txt_P = open( '%s_Aeff_Cos%s_P.txt' % (txtOutfileLabel, angleSelection), 'w')
Energy = []
EffectiveArea_Tracked = []
EffectiveArea_Untracked = []
EffectiveArea_Pair = []
for key in data.keys():
energy = float(key.split('_')[1].replace('MeV',''))
#angle = float(key.split('_')[2].replace('Cos',''))
half = key.split('_')[2].replace('Cos','')
angle = float(half.replace('.inc1.id1.sim',''))
#print energy, angle
if angle == angleSelection:
#print data
numberOfSimulatedEvents = float(data[key][0])
if ideal:
# This removes the event selection on the final Aeff calculation
# It does not change anything from the FWHM or the 68% containment
# Compton events are multiplied by the ratio of tracked vs. untracked