show_model.py
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#! /usr/bin/env python
# ==========================================================================
# Shows the photon spectrum of a model
#
# Copyright (C) 2015-2016 Juergen Knoedlseder
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# ==========================================================================
import sys
import gammalib
try:
import matplotlib.pyplot as plt
plt.figure()
plt.close()
except:
print('This script needs the "matplotlib" module')
sys.exit()
# ======================= #
# Plot spectral component #
# ======================= #
def plot_spectrum(model, emin=0.01, emax=100.0, enumbins=100, plotfile=''):
"""
Plot spectral model component
Parameters
----------
model : `~gammalib.GModel`
Model
emin : float, optional
Minimum energy (TeV)
emax : float, optional
Maximum energy (TeV)
enumbins : integer, optional
Number of energy bins
plotfile : str, optional
Name of plot file
"""
# Get spectral component
spectrum = model.spectral()
# Setup energy axis
e_min = gammalib.GEnergy(emin, 'TeV')
e_max = gammalib.GEnergy(emax, 'TeV')
ebounds = gammalib.GEbounds(enumbins, e_min, e_max)
# Setup model plot
x = []
y = []
min = 1.0e30
max = 0.0
for i in range(enumbins):
energy = ebounds.elogmean(i)
value = spectrum.eval(energy)
if value > max:
max = value
if value < min:
min = value
x.append(energy.TeV())
y.append(value)
# Show spectrum
plt.figure()
plt.title(model.name()+' ('+spectrum.type()+')')
plt.loglog()
plt.grid()
plt.loglog(x, y, color='red')
plt.xlabel('Energy (TeV)')
plt.ylabel(r'dN/dE (ph s$^{-1}$ cm$^{-2}$ MeV$^{-1}$)')
#plt.ylim([min,max])
# Show spectrum or save it into file
if len(plotfile) > 0:
plt.savefig(plotfile)
else:
plt.show()
# Return
return
# ============= #
# Script entry #
# ============= #
if __name__ == '__main__':
# Check for model filename
if len(sys.argv) < 2:
sys.exit('Usage: show_model.py model.xml [name] [file]')
# Get optional model index
if len(sys.argv) >= 3:
name = sys.argv[2]
else:
name = 0
if len(sys.argv) == 4:
plotfile = sys.argv[3]
else:
plotfile = ''
# Read models XML file
filename = sys.argv[1]
models = gammalib.GModels(filename)
# Extract relevant model
model = models[name]
# Plot spectrum
plot_spectrum(model, plotfile=plotfile)