show_model.py
3.39 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
#! /usr/bin/env python
# ==========================================================================
# Shows the photon spectrum of a model
#
# Copyright (C) 2015-2020 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
try:
import matplotlib.pyplot as plt
plt.figure()
plt.close()
except (ImportError, RuntimeError):
print('This script needs the "matplotlib" module')
sys.exit()
import gammalib
import cscripts
# ======================= #
# 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()