show_butterfly.py
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#! /usr/bin/env python
# ==========================================================================
# Shows butterfly diagram created with ctbutterfly
#
# Copyright (C) 2014-2020 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
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
# ======================================== #
# Get butterfly diagram values from a file #
# ======================================== #
def get_butterfly_file(filename):
"""
Get butterfly diagram values
Parameters
----------
filename : str
Butterfly CSV file
Returns
-------
btrfly : dict
Python dictionary defining butterfly plot and best fit spectrum
"""
# Read butterfly file
csv = gammalib.GCsv(filename)
# Return dictionary
return get_butterfly_csv(csv)
# =============================================== #
# Get butterfly diagram values from a GCsv object #
# =============================================== #
def get_butterfly_csv(csv):
"""
Get butterfly diagram values from GCsv object
Parameters
----------
csv : `~gammalib.GCsv`
GCsv object containing butterfly plot information
Returns
-------
btrfly : dict
Python dictionary defining butterfly plot and best fit spectrum
"""
# Initialise arrays to be filled
btrfly = {
'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
btrfly['butterfly_x'].append(csv.real(row,0)/1.0e6) # TeV
btrfly['butterfly_y'].append(csv.real(row,2)*conv)
# Set line values
btrfly['line_x'].append(csv.real(row,0)/1.0e6) # TeV
btrfly['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
btrfly['butterfly_x'].append(csv.real(index,0)/1.0e6)
low_error = max(csv.real(index,3)*conv, 1e-26)
btrfly['butterfly_y'].append(low_error)
# Return dictionary
return btrfly
# ============== #
# Plot butterfly #
# ============== #
def plot_butterfly(filename, plotfile):
"""
Plot butterfly diagram
Parameters
----------
filename : str
Butterfly CSV file
plotfile : str
Plot filename
"""
# Read butterfly file
btrfly = get_butterfly_file(filename)
# Plot the butterfly and spectral line
plt.figure()
plt.loglog()
plt.grid()
plt.xlabel('Energy (TeV)')
plt.ylabel(r'E$^2$ $\times$ dN/dE (erg cm$^{-2}$ s$^{-1}$)')
# Plot the butterfly and spectral line
plt.plot(btrfly['line_x'],btrfly['line_y'],color='black',ls='-')
plt.fill(btrfly['butterfly_x'],btrfly['butterfly_y'],color='green',alpha=0.5)
# 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(filename=args[0], plotfile=plotfile)
# Return
return
# ======================== #
# Main routine entry point #
# ======================== #
if __name__ == '__main__':
# Show butterfly diagram
show_butterfly()