test_pipelines.py
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#! /usr/bin/env python
# ==========================================================================
# This scripts performs tests processing pipelines
#
# Copyright (C) 2014-2018 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 os
import gammalib
import ctools
# ============================ #
# Test class for ctobssim tool #
# ============================ #
class Test(gammalib.GPythonTestSuite):
"""
Test class for pipelines
"""
# Constructor
def __init__(self):
"""
Constructor
"""
# Call base class constructor
gammalib.GPythonTestSuite.__init__(self)
# Set test data directory
self._datadir = os.environ['TEST_DATA']
# Set some standard test data
self._model = self._datadir + '/crab.xml'
self._caldb = 'prod2'
self._irf = 'South_0.5h'
# Return
return
# Set test functions
def set(self):
"""
Set all test functions
"""
# Set test name
self.name('pipelines')
# Append tests
self.append(self.test_unbinned_fits,
'Test unbinned pipeline with FITS file saving')
self.append(self.test_unbinned_mem,
'Test unbinned in-memory pipeline')
# Return
return
# Test unbinned pipeline with FITS file saving
def test_unbinned_fits(self):
"""
Test unbinned pipeline with FITS file saving
"""
# Set script parameters
events_name = 'events.fits'
selected_events_name = 'selected_events.fits'
result_name = 'results.xml'
ra = 83.63
dec = 22.01
rad_sim = 3.0
rad_select = 2.0
tstart = 0.0
tstop = 300.0
emin = 1.0
emax = 100.0
# Simulate events
sim = ctools.ctobssim()
sim['inmodel'] = self._model
sim['outevents'] = events_name
sim['caldb'] = self._caldb
sim['irf'] = self._irf
sim['ra'] = ra
sim['dec'] = dec
sim['rad'] = rad_sim
sim['tmin'] = tstart
sim['tmax'] = tstop
sim['emin'] = emin
sim['emax'] = emax
sim.execute()
# Select events
select = ctools.ctselect()
select['inobs'] = events_name
select['outobs'] = selected_events_name
select['ra'] = ra
select['dec'] = dec
select['rad'] = rad_select
select['tmin'] = tstart
select['tmax'] = tstop
select['emin'] = emin
select['emax'] = emax
select.execute()
# Perform maximum likelihood fitting
like = ctools.ctlike()
like['inobs'] = selected_events_name
like['inmodel'] = self._model
like['outmodel'] = result_name
like['caldb'] = self._caldb
like['irf'] = self._irf
like.execute()
# Return
return
# Test unbinned in-memory pipeline
def test_unbinned_mem(self):
"""
Test unbinned in-memory pipeline
"""
# Set script parameters
ra = 83.63
dec = 22.01
rad_sim = 3.0
rad_select = 2.0
tstart = 0.0
tstop = 300.0
emin = 1.0
emax = 100.0
# Simulate events
sim = ctools.ctobssim()
sim['inmodel'] = self._model
sim['caldb'] = self._caldb
sim['irf'] = self._irf
sim['ra'] = ra
sim['dec'] = dec
sim['rad'] = rad_sim
sim['tmin'] = tstart
sim['tmax'] = tstop
sim['emin'] = emin
sim['emax'] = emax
sim.run()
# Select events
select = ctools.ctselect(sim.obs())
select['ra'] = ra
select['dec'] = dec
select['rad'] = rad_select
select['tmin'] = tstart
select['tmax'] = tstop
select['emin'] = emin
select['emax'] = emax
select.run()
# Perform maximum likelihood fitting
like = ctools.ctlike(select.obs())
like.run()
# Return
return