def create_xml_from_fileFunctions(sourcename, ra, dec, outfile):
'''
Create xml file for given alpha and index
Parameters
---------
sourcename: studied source
ra,dec: coordinates of the source
alpha: EBL normalisation
index: index of the power law
'''
lib, doc = xml.CreateLib()
spec = xml.addFileFunction(lib,
sourcename,
type="PointSource",
filefun=outfile,
flux_free=1,
flux_value=1.,
flux_scale=1.,
flux_max=100000000.0,
flux_min=0.0)
spatial = xml.AddPointLike(doc, ra, dec)
spec.appendChild(spatial)
lib.appendChild(spec)
bkg = xml.addCTAIrfBackground(lib)
lib.appendChild(bkg)
open(outfile.replace('txt', 'xml'), 'w').write(doc.toprettyxml(' '))
def create_xml_from_fileFunctions(sourcename,ra,dec,outfile):
'''
Create xml file for given alpha and index
Parameters
---------
sourcename: studied source
ra,dec: coordinates of the source
alpha: EBL normalisation
index: index of the power law
'''
lib,doc = xml.CreateLib()
spec = xml.addFileFunction(lib, sourcename, type = "PointSource",filefun=outfile,flux_free=1, flux_value=1., flux_scale=1.,flux_max=100000000.0, flux_min=0.0)
spatial = xml.AddPointLike(doc,ra,dec)
spec.appendChild(spatial)
lib.appendChild(spec)
bkg = xml.addCTAIrfBackground(lib)
lib.appendChild(bkg)
open(outfile.replace('txt','xml'), 'w').write(doc.toprettyxml(' '))
filefun = open(filename,"w")
for j in xrange(len(ETeV)):
filefun.write(str(ETeV[j]*1e6)+" "+str(max(1e-10,numpy.exp(-Tau_values)[j]))+"\n")
#------------------ Make the XML model
Ecut = 3./(1+redshift)*1e6
spec = xml.PowerLawExpCutoffEBL(lib,srcname,filename,eflux=2000,flux_value=1.465e-10,flux_max=1.665e-10, flux_min=1.275e-10,index_value=-2.184, index_min=-2.3334, index_max=-2.0346)
#### EBL : end
ra = config["target"]["ra"]
dec = config["target"]["dec"]
spatial = xml.AddPointLike(doc,ra,dec)
spec.appendChild(spatial)
lib.appendChild(spec)
#CTA BACKGROUND
bkg = xml.addCTAIrfBackground(lib)
lib.appendChild(bkg)
# save the model into an xml file
open(config["file"]["inmodel_sim"], 'w').write(doc.toprettyxml(' '))
#---------------------------- Simulations
n_hours = 1 #hours for simulations
n_simulations = 1
# produce different seeds for simulations
#seed_index = 0
#while seed_index != 1:
# seeds = random.sample(range(1, 1000000), n_simulations)
def GetSourceInformation(source, datfile):
# table for the data
xdata = []
ydata = []
dydata = []
#Read Data : either you use the FGL name or another name (should be recognize by the astropy module
#source = "3FGL J1517.6-2422"
#Cat = FermiCatalogReader(source,FERMI_CATALOG_DIR,"e2dnde","TeV")
Cat = FermiCatalogReader.fromName(source, FK5, FERMI_CATALOG_DIR, "e2dnde",
"TeV")
#print some information
print "2FGL association ", Cat.Association('3FGL')
print "3FGL Name ", Cat.Association('2FHL', '3FGL_name')
print "3FGL Var Index ", Cat.GetVarIndex("3FGL")
enerbut, but, enerphi, phi, ener3FGL, e2dnde3FGL, dem3FGL, dep3FGL, de2dnde3FGL = Get3FGL(
Cat, xdata, ydata, dydata)
enerbut2FHL, but2FHL, enerphi2FHL, phi2FHL, ener2FHL, e2dnde2FHL, dem2FHL, dep2FHL, de2dnde2FHL = Get2FHL(
Cat, xdata, ydata, dydata)
if datfile:
#Read TEV DATA
TeVData = numpy.genfromtxt(datfile, unpack=True)
#read data from https://arxiv.org/abs/1410.5897
ener_TeV = TeVData[1]
flux_TeV = TeVData[2] * ener_TeV**2.16
Dflux_TeV_m = (TeVData[2] - TeVData[3]) * ener_TeV**2.16
Dflux_TeV_p = (TeVData[4] - TeVData[2]) * ener_TeV**2.16
for i in xrange(len(ener_TeV)):
xdata.append(numpy.log10(ener_TeV[i]))
ydata.append(numpy.log10(flux_TeV[i]))
dydata.append(numpy.log10((Dflux_TeV_m[i] + Dflux_TeV_p[i]) / 2.))
################################## FIT
xdata = numpy.array(xdata)
ydata = numpy.array(ydata)
dydata = numpy.array(dydata)
popt, pcov = scipy.optimize.curve_fit(logparabola,
xdata,
ydata,
p0=[1e-12, 1.5, 0.3],
sigma=dydata)
x = numpy.arange(-6, 2, .1)
print "Norm at 0.1 TeV : ", popt[0], " +/- ", numpy.sqrt(pcov[0][0])
print "Alpha : ", popt[1], " +/- ", numpy.sqrt(pcov[1][1])
print "Beta : ", popt[2], " +/- ", numpy.sqrt(pcov[2][2])
#change in ctools units
escale = 1e5 #MeV
norm = popt[0] * 624152.206 / escale**2
import ctoolsAnalysis.xml_generator as xml
lib, doc = xml.CreateLib()
#SOURCE SPECTRUM
#norm is at 100 GeV
spec = xml.addLogparabola(lib, source, "PointSource", escale, 1, norm, 0,
1000, 1e-5, 1, popt[1], .5, 5., 1, popt[2])
# Simulation at the 3FGL position
ra, dec = Cat.GetPosition("3FGL")
spatial = xml.AddPointLike(doc, ra, dec)
spec.appendChild(spatial)
lib.appendChild(spec)
bkg = xml.addCTAIrfBackground(lib)
lib.appendChild(bkg)
print bkg
open("out/" + source.replace(" ", "") + '_forSimu3FGLPosition.xml',
'w').write(doc.toprettyxml(' '))
########################################"plot
'''
catalog = FermiCatalogReader(None,FERMI_CATALOG_DIR)
ra = catalog.CatalogData['2FGL']['data'].field('RAJ2000')
dec = catalog.CatalogData['2FGL']['data'].field('DEJ2000')
ra_2,dec_2 = Cat.GetPosition("2FGL")
r = calcAngSepDeg(ra,dec,ra_2,dec_2)
res = r.argmin()
catalog.findfromCoordinate('2FGL',ra_2,dec_2)
name_2FGL = catalog.CatalogData['2FGL']['data'].field('Source_Name')[res]
#print name_2FGL.replace(" ","")
read_Data = False
try :
Data_2FGL_Ener = []
Data_2FGL_dnde_sup = []
Data_2FGL_dnde_inf = []
Data_2FGL_dnde_moy = []
with open(name_2FGL.replace(" ","")+".txt") as f:
for line in f:
Data_2FGL_Ener.append(float(line.split("\t")[0])/10e12)
Data_2FGL_dnde_sup.append(float(line.split("\t")[2]))
Data_2FGL_dnde_inf.append(float(line.split("\t")[3]))
Data_2FGL_dnde_moy.append((float(line.split("\t")[2])+float(line.split("\t")[3]))/2)
read_Data = True
except IOError as e:
print "I/O error({0}): {1}".format(e.errno, e.strerror)
'''
import matplotlib.pyplot as plt
fig = plt.figure()
plt.loglog()
plt.plot(enerbut, but, 'b-', label="3FGL")
plt.plot(enerphi, phi, 'b-')
plt.plot(enerbut2FHL, but2FHL, 'r-', label="2FHL")
plt.plot(enerphi2FHL, phi2FHL, 'r-')
plt.errorbar(ener3FGL,
e2dnde3FGL,
xerr=[dem3FGL, dep3FGL],
yerr=de2dnde3FGL,
fmt='o')
plt.errorbar(ener2FHL,
e2dnde2FHL,
xerr=[dem2FHL, dep2FHL],
yerr=de2dnde2FHL,
fmt='o')
if datfile:
plt.errorbar(ener_TeV,
flux_TeV,
yerr=[Dflux_TeV_m, Dflux_TeV_p],
fmt='o',
label="H.E.S.S.")
plt.legend(loc=3)
#plot fit function
plt.plot(numpy.power(10, x),
numpy.power(10, logparabola(x, popt[0], popt[1], popt[2])), "b-")
plt.ylabel('E2dN/dE(erg.cm-2.s-1)')
plt.xlabel('energy (TeV)')
plt.title(str(source))
#plt.show()
fig.savefig('plots/bad_spectrum/' + str(source) + '.png')
fichier = open(
"out/" + source.replace(" ", "") + '_forSimu3FGLPosition.xml', 'r+w')
fichier2 = open("out/" + 'tmp.xml', 'w')
with fichier as f:
for line in f:
if line.replace(" ", "").replace(
"\n", "") == '<sourcename="' + str(source).replace(
" ", "") + '"type="PointSource">':
line = line.replace('type="PointSource">',
'type="PointSource" tscalc="1">')
print line
fichier2.write(line)
#print "ok"
#line[ite] = line
#ite = ite +1
#if line.split("\t")[0]
os.remove("out/" + source.replace(" ", "") + '_forSimu3FGLPosition.xml')
shutil.move("out/" + "tmp.xml",
"out/" + source.replace(" ", "") + '_forSimu3FGLPosition.xml')
fichier3 = open("out/" + str(source) + '_results.xml', 'r')
with fichier3 as f:
for line in f:
if line.find(str(source)) != -1:
num = 41 + len(str(source))
ts = float(line[num:num + 6])
#break
return popt[0], popt[1], popt[2], ts