Spectrum.py
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from numpy import histogram, log10, shape, logspace, sqrt
from matplotlib.pyplot import figure, show, ylim, setp
from matplotlib import gridspec
from os.path import isfile
from Read import ReadEnergy, ReadWeight, ReadElmag, ReadNbLeptonsProd, resultDirectory, ElmagFile
from Read import ReadNphot_source, ReadGeneration
from Analytic import Analytic_flux, Ethreshold_gg
def spectrum(fileId,gen=-1):
energy = ReadEnergy(fileId)
weight = ReadWeight(fileId)
if gen != -1:
generation = ReadGeneration(fileId)
energy=energy[generation==gen]
weight=weight[generation==gen]
print "file", fileId, "gen=", gen,"->", shape(energy)[0], "events"
else:
print "file", fileId, "->", shape(energy)[0], "events"
nbBins=100
energy =log10(energy)
flux,ener=histogram(energy,nbBins,weights=weight)
ener = 10**ener
enercenter=(ener[1:nbBins+1]+ener[0:nbBins])/2
binSize=ener[1:nbBins+1]-ener[0:nbBins]
flux = enercenter**2 * flux/binSize
maxflux = ReadNphot_source(fileId)
flux /= maxflux
return enercenter,flux
###########################################################################################
def drawSpectrum(files,PlotElmag=False,PlotAnalytic=False):
fig = figure()
ax = fig.add_subplot(111)
for fileId in files:
energy,flux = spectrum(fileId)
if PlotElmag:
maxflux = max(flux)*(.8)
p=ax.plot(energy,flux,drawstyle='steps-mid',label=fileId)
if PlotElmag & isfile(resultDirectory+fileId+ElmagFile):
energy, flux = ReadElmag(fileId)
maxflux = max(flux)
flux /= maxflux
ax.plot(energy,flux,"--",color=p[0].get_color(),label="Elmag - "+fileId)
if PlotAnalytic:
alpha=2.8e3
ax.plot(energy,alpha*sqrt(energy),'--m',linewidth=2)
ax.plot(energy,energy**(0)*max(flux),'--m',linewidth=2)
ax.axvline(x=Ethreshold_gg(), ymin=0., ymax = 1., color='r', linewidth=2)
ax.set_xscale('log')
ax.set_yscale('log')
ax.grid(b=True,which='major')
ax.legend(loc="best")
if PlotElmag:
ax.set_ylabel("$E^2 \\frac{dN}{dE}$ [normalized]")
else:
ax.set_ylabel("$E^2 \\frac{dN}{dE}$ [GeV / photon]")
ax.set_xlabel("energy [GeV]")
show()
def drawSpectrum_normaLepton(files):
fig = figure()
gs = gridspec.GridSpec(2, 1, height_ratios=[4,1])
fig.subplots_adjust(hspace=0.001)
ax1 = fig.add_subplot(gs[0])
ax2 = fig.add_subplot(gs[1],sharex=ax1)
for fileId in files:
energy,flux = spectrum(fileId)
maxflux = ReadNbLeptonsProd(fileId)
flux /= maxflux
p=ax1.plot(energy,flux,drawstyle='steps-mid',label=fileId)
yfit = Analytic_flux(energy)
ax1.plot(energy,yfit,'--m',linewidth=2)
error=flux/yfit-1
ax2.plot(energy,error,'+',color=p[0].get_color())
ax1.set_xscale('log')
ax1.set_yscale('log')
ax1.grid(b=True,which='major')
ax1.legend(loc="best")
ax1.set_ylabel("$E^2 \\frac{dN}{dE}$ [GeV] / lepton")
ax2.set_xscale('log')
ax2.grid(b=True,which='major')
ax2.set_xlabel("energy [GeV]")
ax2.set_ylabel("error")
step=0.2*(max(error)-min(error))
ylim(min(error)-step, max(error)+step)
xticklabels = ax1.get_xticklabels()
setp(xticklabels, visible=False)
show()
########################################################################################
def drawSpectrumGen(fileId):
fig = figure()
ax = fig.add_subplot(111)
for gen in list(set(ReadGeneration(fileId))):
energy,flux = spectrum(fileId,gen)
p=ax.plot(energy,flux,drawstyle='steps-mid',label="gen="+str(int(gen)))
energy,flux = spectrum(fileId)
p=ax.plot(energy,flux,drawstyle='steps-mid',color='k',label="gen = all")
alpha=2e3
ax.plot(energy,sqrt(energy)*alpha,'--m',linewidth=2)
ax.plot(energy,energy**(0)*max(flux),'--m',linewidth=2)
ax.axvline(x=Ethreshold_gg(), ymin=0., ymax = 1., color='r', linewidth=2)
ax.set_xscale('log')
ax.set_yscale('log')
ax.grid(b=True,which='major')
ax.legend(loc="best")
ax.set_title(fileId)
ax.set_ylabel("$E^2 \\frac{dN}{dE}$ [GeV / photon]")
ax.set_xlabel("energy [GeV]")
show()