test_model_spatial_const.py
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#! /usr/bin/env python
# ==========================================================================
# This script tests the GModelSpatialDiffuseConst model.
#
# Copyright (C) 2015 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 gammalib
#import math
# ============== #
# Evaluate model #
# ============== #
def test_mc(samples=100000):
"""
This function tests the mc() method.
"""
# Create model
model = gammalib.GModelSpatialDiffuseConst(1.0)
# Create WCS map
map = gammalib.GSkyMap("AIT", "GAL", 0.0, 0.0, -1.0, 1.0, 360, 180)
# Set fixed parameters
energy = gammalib.GEnergy()
time = gammalib.GTime()
# Allocate random number generator
ran = gammalib.GRan()
# Fill map
for i in range(samples):
dir = model.mc(energy, time, ran)
pixel = map.dir2inx(dir)
map[pixel] += 1.0
# Save map
map.save("test_model_spatial_const.fits", True)
# Return
return
# ================ #
# Main entry point #
# ================ #
if __name__ == '__main__':
"""
Main entry point
"""
# Test Monte Carlo method
test_mc()