show_onoff_spectrum.py
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#! /usr/bin/env python
# ==========================================================================
# Display butterfly generated by ctbutterfly and spectrum generated by csspec
#
# Copyright (C) 2018-2021 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 spectrum and butterfly #
# =========================== #
def plot_spectrum_butterfly(specfile, butterfile, fmt='o', color='red'):
"""
Plot sensitivity data
Parameters
----------
specfile : str
Name of spectrum FITS file
butterfile : str
Name of butterfly FITS file
fmt : str
Symbol format
color : str
Symbol color
"""
# Read spectrum file
fits = gammalib.GFits(specfile)
table = fits.table(1)
c_energy = table['e_ref']
c_ed = table['e_min']
c_eu = table['e_max']
c_flux = table['ref_e2dnde']
c_norm = table['norm']
c_eflux = table['norm_err']
c_upper = table['norm_ul']
c_ts = table['ts']
# Read butterfly file
csv = gammalib.GCsv(butterfile)
# Initialise arrays to be filled
energies = []
flux = []
ed_engs = []
eu_engs = []
e_flux = []
ul_energies = []
ul_ed_engs = []
ul_eu_engs = []
ul_flux = []
butterfly_x = []
butterfly_y = []
line_x = []
line_y = []
# Loop over rows of the file
nrows = table.nrows()
for row in range(nrows):
# Get Test Statistic, flux and flux error
ts = c_ts.real(row)
norm = c_norm.real(row)
flx = norm * c_flux.real(row)
e_flx = flx * c_eflux.real(row)
# If Test Statistic is larger than 9 and flux error is smaller than
# flux then append flux plots ...
if ts > 9.0 and e_flx < flx:
energies.append(c_energy.real(row))
flux.append(flx)
ed_engs.append(c_ed.real(row))
eu_engs.append(c_eu.real(row))
e_flux.append(e_flx)
# ... otherwise append upper limit
else:
ul_energies.append(c_energy.real(row))
ul_flux.append(flx*c_upper.real(row))
ul_ed_engs.append(c_ed.real(row))
ul_eu_engs.append(c_eu.real(row))
# Set upper limit errors
yerr = [0.6 * x for x in ul_flux]
# Loop over rows of the file
nrows = csv.nrows()
for row in range(nrows):
# Compute upper edge of confidence band
butterfly_x.append(csv.real(row,0)/1.0e6) # TeV
butterfly_y.append(csv.real(row,2)*csv.real(row,0)*csv.real(row,0)*gammalib.MeV2erg)
# Set line values
line_x.append(csv.real(row,0)/1.0e6) # TeV
line_y.append(csv.real(row,1)*csv.real(row,0)*csv.real(row,0)*gammalib.MeV2erg)
# Loop over the rows backwards to compute the lower edge of the
# confidence band
for row in range(nrows):
index = nrows - 1 - row
butterfly_x.append(csv.real(index,0)/1.0e6)
low_error = max(csv.real(index,3)*csv.real(index,0)*csv.real(index,0)*gammalib.MeV2erg, 1e-26)
butterfly_y.append(low_error)
# Plot the spectrum
plt.errorbar(energies, flux, yerr=e_flux, xerr=[ed_engs, eu_engs],
fmt=fmt, color=color, markeredgecolor=color)
plt.errorbar(ul_energies, ul_flux, xerr=[ul_ed_engs, ul_eu_engs],
yerr=yerr, uplims=True, fmt=fmt, color=color, markeredgecolor=color)
# Plot the butterfly
plt.plot(line_x, line_y, color='black', ls='-')
plt.fill(butterfly_x, butterfly_y, color='green', alpha=0.5)
# Return
return
# =========================== #
# Show spectrum and butterfly #
# =========================== #
def show_spectrum_butterfly():
"""
Show spectrum and butterfly
"""
# Create figure
plt.figure()
plt.loglog()
plt.grid()
# Set usage string
usage = 'show_onoff_spectrum.py [-p plotfile] [-t title] [specfile] [butterfile]'
# Set default options
options = [{'option': '-p', 'value': ''},
{'option': '-t', 'value': 'Cassiopeia A'}]
# 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']
title = options[1]['value']
# Set filenames
specfile = 'spectrum.fits'
butterfile = 'butterfly.txt'
if len(args) > 0:
specfile = args[0]
if len(args) > 1:
butterfile = args[1]
# Show spectrum and butterfly
plot_spectrum_butterfly(specfile, butterfile, fmt='ro', color='red')
# Plot labels
plt.xlabel('Energy (TeV)')
plt.ylabel(r'E$^2$ $\times$ dN/dE (erg cm$^{-2}$ s$^{-1}$)')
# Set title
plt.title(title)
# Show figure
if len(plotfile) > 0:
plt.savefig(plotfile)
else:
plt.show()
# Return
return
# ======================== #
# Main routine entry point #
# ======================== #
if __name__ == '__main__':
# Show spectrum and butterfly
show_spectrum_butterfly()