test_pipelines.py
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#! /usr/bin/env python
# ==========================================================================
# This scripts performs tests processing pipelines.
#
# Copyright (C) 2014 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 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)
# 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
model_name = "data/crab.xml"
events_name = "events.fits"
selected_events_name = "selected_events.fits"
result_name = "results.xml"
caldb = "irf"
irf = "cta_dummy_irf"
ra = 83.63
dec = 22.01
rad_sim = 10.0
tstart = 0.0
tstop = 1800.0
emin = 0.1
emax = 100.0
rad_select = 3.0
# Simulate events
sim = ctools.ctobssim()
sim["inmodel"] = model_name
sim["outevents"] = events_name
sim["caldb"] = caldb
sim["irf"] = irf
sim["ra"] = ra
sim["dec"] = dec
sim["rad"] = rad_sim
sim["tmin"] = tstart
sim["tmax"] = tstop
sim["emin"] = emin
sim["emax"] = emax
self.test_try("Execute ctobssim")
try:
sim.execute()
self.test_try_success()
except:
self.test_try_failure("Exception occured in ctobssim.")
# 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
self.test_try("Execute ctselect")
try:
select.execute()
self.test_try_success()
except:
self.test_try_failure("Exception occured in ctselect.")
# Perform maximum likelihood fitting
like = ctools.ctlike()
like["inobs"] = selected_events_name
like["inmodel"] = model_name
like["outmodel"] = result_name
like["caldb"] = caldb
like["irf"] = irf
self.test_try("Execute ctlike")
try:
like.execute()
self.test_try_success()
except:
self.test_try_failure("Exception occured in ctlike.")
# Test unbinned in-memory pipeline
def test_unbinned_mem(self):
"""
Test unbinned in-memory pipeline.
"""
# Set script parameters
model_name = "data/crab.xml"
caldb = "irf"
irf = "cta_dummy_irf"
ra = 83.63
dec = 22.01
rad_sim = 10.0
tstart = 0.0
tstop = 1800.0
emin = 0.1
emax = 100.0
rad_select = 3.0
# Simulate events
sim = ctools.ctobssim()
sim["inmodel"] = model_name
sim["caldb"] = caldb
sim["irf"] = irf
sim["ra"] = ra
sim["dec"] = dec
sim["rad"] = rad_sim
sim["tmin"] = tstart
sim["tmax"] = tstop
sim["emin"] = emin
sim["emax"] = emax
self.test_try("Run ctobssim")
try:
sim.run()
self.test_try_success()
except:
self.test_try_failure("Exception occured in ctobssim.")
# 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()
self.test_try("Run ctselect")
try:
select.run()
self.test_try_success()
except:
self.test_try_failure("Exception occured in ctselect.")
# Perform maximum likelihood fitting
like = ctools.ctlike(select.obs())
self.test_try("Run ctlike")
try:
like.run()
self.test_try_success()
except:
self.test_try_failure("Exception occured in ctlike.")