test_python.py
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#! /usr/bin/env python
from gammalib import *
from math import *
import os
# ================================== #
# Extract data points from FITS file #
# ================================== #
def extract_data(filename):
"""
Extract data from FITS file.
"""
# Set plot styles
ecolor = ['r', 'b', 'g']
styles = ['ro', 'bo', 'go']
# Open FITS file
fits = GFits(filename)
# Loop over all table HDUs
k = 0
for extno in range(fits.size()):
if fits.hdu(extno).exttype() == GFitsHDU.HT_ASCII_TABLE or \
fits.hdu(extno).exttype() == GFitsHDU.HT_BIN_TABLE:
# Load spectrum
spectrum = GMWLSpectrum()
spectrum.load(filename, extno)
# Add spectral points
x = []
y = []
dy = []
for i in range(spectrum.size()):
xval = spectrum[i].energy().MeV()
yval = spectrum[i].flux()
yerr = spectrum[i].flux_err()
conv = xval*xval*1.6021765e-6
x.append(xval)
y.append(yval*conv)
dy.append(yerr*conv)
plt.loglog(x, y, styles[k])
plt.errorbar(x, y, dy, fmt=None, ecolor=ecolor[k])
# Increment style counter
k = k + 1
# Add axes
plt.xlabel("Energy (MeV)")
plt.ylabel("Flux (erg/cm2/s)")
# Close FITS file
fits.close()
# ============ #
# Fit spectrum #
# ============ #
def fit_spectrum(filename, xmlname):
"""
Fit spectrum.
"""
# Load observations
obs = GObservations()
comptel = GMWLObservation(filename, "COMPTEL");
lat = GMWLObservation(filename, "LAT");
hess = GMWLObservation(filename, "HESS");
obs.append(comptel)
obs.append(lat)
obs.append(hess)
# Setup model
models = GModels(xmlname)
obs.models(models)
# Perform optimization
opt = GOptimizerLM()
opt.max_iter(1000)
obs.optimize(opt)
print obs
# Get model values
x = np.power(10., np.arange(-1., 8., 0.1))
y = []
d = GSkyDir()
d.radec_deg(83.6331, 22.0145)
e = GEnergy()
t = GTime()
for energy in x:
e.MeV(energy)
yval = 0.0
for model in obs.models():
crab = cast_GModelSky(model)
if crab != None:
yval += crab.value(d, e, t) * energy*energy*1.6021765e-6
y.append(yval)
plt.plot(x, y)
#==========================#
# Main routine entry point #
#==========================#
if __name__ == '__main__':
"""
Perform testing.
"""
# Dump result
print
print "****************************"
print "* Python interface testing *"
print "****************************"
# Only proceed if matplotlib is available
try:
# Import matplotlib
import numpy as np
import matplotlib.pyplot as plt
# Open plot
plt.figure(1)
plt.title('GammaLib fit of the Crab PWN')
# Extract data from FITS file
extract_data("data/crab_mwl.fits")
# Fit spectrum
fit_spectrum("data/crab_mwl.fits", "data/crab_mwl2.xml")
# Show spectrum
plt.show()
except ImportError:
print "Matplotlib is not (correctly) installed on your system."