test_model_spatial_map.py
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#! /usr/bin/env python
# ==========================================================================
# This script tests the GModelSpatialMap spatial map model.
#
# Copyright (C) 2012 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/>.
#
# ==========================================================================
from gammalib import *
import math
# ============== #
# Evaluate model #
# ============== #
def eval_model(model, binsz=0.01, nbins=1000):
"""
This function uses the eval method of the GModelSpatialMap class to
interpolate the skymap into a finer grid.
"""
# Create CAR skymap
map = GSkymap("CAR", "CEL", 201.3651, -43.0191, binsz, binsz, nbins, nbins)
# Fill map
for i in range(map.npix()):
dir = map.pix2dir(i)
intensity = model.eval(dir)
map[i] = intensity
# Save map
map.save("test_model_spatial_map.fits")
# Return
return
# ================ #
# Main entry point #
# ================ #
if __name__ == '__main__':
"""
Main entry point
"""
# Allocate spatial map model
model = GModelSpatialMap("data/cena_lobes_parkes.fits")
print model
# Evaluate skymap
eval_model(model)