show_butterfly.py
3.56 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 butterfly diagram created with ctbutterfly
#
# Copyright (C) 2014-2017 Michael Mayer
#
# 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 butterfly #
# ============== #
def plot_butterfly(filename, plotfile):
"""
Plot butterfly diagram
Parameters
----------
filename : str
Butterfly CSV file
plotfile : str
Plot filename
"""
# Read butterfly file
csv = gammalib.GCsv(filename)
# Initialise arrays to be filled
butterfly_x = []
butterfly_y = []
line_x = []
line_y = []
# Loop over rows of the file
nrows = csv.nrows()
for row in range(nrows):
# Get conversion coefficient
conv = csv.real(row,0) * csv.real(row,0) * gammalib.MeV2erg
# Compute upper edge of confidence band
butterfly_x.append(csv.real(row,0)/1.0e6) # TeV
butterfly_y.append(csv.real(row,2)*conv)
# Set line values
line_x.append(csv.real(row,0)/1.0e6) # TeV
line_y.append(csv.real(row,1)*conv)
# Loop over the rows backwards to compute the lower edge of the
# confidence band
for row in range(nrows):
index = nrows - 1 - row
conv = csv.real(index,0) * csv.real(index,0) * gammalib.MeV2erg
butterfly_x.append(csv.real(index,0)/1.0e6)
low_error = max(csv.real(index,3)*conv, 1e-26)
butterfly_y.append(low_error)
# Plot the butterfly and spectral line
plt.figure()
plt.loglog()
plt.grid()
plt.plot(line_x,line_y,color='black',ls='-')
plt.fill(butterfly_x,butterfly_y,color='green',alpha=0.5)
plt.xlabel('Energy (TeV)')
plt.ylabel(r'E$^2$ $\times$ dN/dE (erg cm$^{-2}$ s$^{-1}$)')
# Show spectrum or save it into file
if len(plotfile) > 0:
plt.savefig(plotfile)
else:
plt.show()
# Return
return
# ====================== #
# Show butterfly diagram #
# ====================== #
def show_butterfly():
"""
Show butterfly diagram
"""
# Set usage string
usage = 'show_butterfly.py [-p plotfile] file'
# Set default options
options = [{'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
plotfile = options[0]['value']
# Plot butterfly diagram
plot_butterfly(args[0], plotfile)
# Return
return
# ======================== #
# Main routine entry point #
# ======================== #
if __name__ == '__main__':
# Show butterfly diagram
show_butterfly()