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
import cscripts
try:
import matplotlib.pyplot as plt
plt.figure()
plt.close()
except (ImportError, RuntimeError):
print('This script needs the "matplotlib" module')
sys.exit()
# ======================= #
# Plot spectral component #
# ======================= #
def plot_spectrum(model, plotfile, emin=0.01, emax=100.0, enumbins=100):
"""
Plot spectral model component
Parameters
----------
model : `~gammalib.GModel`
Model
plotfile : str
Name of plot file
emin : float, optional
Minimum energy (TeV)
emax : float, optional
Maximum energy (TeV)
enumbins : integer, optional
Number of energy bins
"""
# 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 lists of x and y values
x = []
y = []
for i in range(enumbins):
energy = ebounds.elogmean(i)
value = spectrum.eval(energy)
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$^{-1}$)')
# Show spectrum or save it into file
if len(plotfile) > 0:
plt.savefig(plotfile)
else:
plt.show()
# Return
return
# =================== #
# Show model spectrum #
# =================== #
def show_model():
"""
Show model spectrum
"""
# Set usage string
usage = 'show_model.py [-n name] [-p plotfile] file'
# Set default options
options = [{'option': '-n', 'value': ''},
{'option': '-p', 'value': ''}]
# Get arguments and options from command line arguments
args, options = cscripts.ioutils.get_args_options(options, usage)
# Extract script parameters from options
name = options[0]['value']
plotfile = options[1]['value']
if len(name) == 0:
name = 0
# Read models XML file
models = gammalib.GModels(args[0])
# Extract relevant model
model = models[name]
# Plot spectrum
plot_spectrum(model, plotfile)
# Return
return
# ======================== #
# Main routine entry point #
# ======================== #
if __name__ == '__main__':
# Show model spectrum
show_model()