pipeline_binned_disk.py
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#! /usr/bin/env python
# ==========================================================================
# Perform binned CTA analysis based of simulated CTA data.
#
# Copyright (C) 2015-2016 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
from cscripts import obsutils
# ================== #
# Setup observations #
# ================== #
def setup_observations(pattern='four', ra=83.63, dec=22.01, offset=1.5,
emin=0.1, emax=100.0, rad=5.0, duration=180.0,
deadc=0.95, caldb='prod2', irf='South_0.5h'):
"""
Returns an observation container.
Parameters
----------
pattern : str, optional
Pointing pattern, either 'single' or 'four'
ra : float, optional
Right Ascension of pattern centre [deg]
dec : float, optional
Delication of pattern centre [deg]
offset : float, optional
Offset between observations of pattern [deg]
emin : float, optional
Minimum energy [TeV]
emax : float, optional
Maximum energy [TeV]
rad : float, optional
ROI radius used for analysis [deg]
duration : float, optional
Duration of one CTA observation [seconds]
deadc : float, optional
Deadtime correction factor
caldb : str, optional
Calibration database path
irf : str, optional
Instrument response function
Returns
-------
obs : `~gammalib.GObservations`
Observation container
"""
# Set list of observations
obs_def_list = obsutils.set_obs_patterns(pattern,
ra=ra,
dec=dec,
offset=offset)
# Get observation container
obs = obsutils.set_obs_list(obs_def_list,
duration=duration,
emin=emin,
emax=emax,
rad=rad,
caldb=caldb,
irf=irf)
# Return observation container
return obs
# =========== #
# Setup model #
# =========== #
def setup_model(obs, model='${CTOOLS}/share/models/crab.xml'):
"""
Setup model for analysis.
Parameters
----------
obs : `~gammalib.GObservations`
Observation container
model : str, optional
Model definition XML file
Returns
-------
obs : `~gammalib.GObservations`
Observation container
"""
# Append model from file to observation container
obs.models(gammalib.GModels(model))
# Return observation container
return obs
# ================================ #
# Simulation and analysis pipeline #
# ================================ #
def run_pipeline(obs, emin=0.1, emax=100.0,
enumbins=20, nxpix=200, nypix=200, binsz=0.02,
coordsys='CEL', proj='CAR',
model='${CTOOLS}/share/models/crab.xml',
caldb='prod2', irf='South_0.5h',
debug=False):
"""
Simulation and binned analysis pipeline.
Parameters
----------
obs : `~gammalib.GObservations`
Observation container
emin : float, optional
Minimum energy [TeV]
emax : float, optional
Maximum energy [TeV]
enumbins : int, optional
Number of energy bins
nxpix : int, optional
Number of pixels in X axis
nypix : int, optional
Number of pixels in Y axis
binsz : float, optional
Pixel size [deg/pixel]
coordsys : str, optional
Coordinate system
proj : str, optional
Coordinate projection
model : str, optional
Model definition XML file
caldb : str, optional
Calibration database path
irf : str, optional
Instrument response function
debug : bool, optional
Debug function
"""
# Simulate events
sim = ctools.ctobssim(obs)
sim['debug'] = debug
sim['outevents'] = 'obs.xml'
sim.execute()
# Bin events by looping over all observations in the container
sim_obs = gammalib.GObservations('obs.xml')
obs = gammalib.GObservations()
for run in sim_obs:
# Get event filename and set counts cube filename
eventfile = run.eventfile().url()
cubefile = 'cube_'+eventfile
# Bin events for that observation
bin = ctools.ctbin()
bin['inobs'] = eventfile
bin['outcube'] = cubefile
bin['ebinalg'] = 'LOG'
bin['emin'] = emin
bin['emax'] = emax
bin['enumbins'] = enumbins
bin['nxpix'] = nxpix
bin['nypix'] = nypix
bin['binsz'] = binsz
bin['coordsys'] = coordsys
bin['usepnt'] = True
bin['proj'] = proj
bin.execute()
# Set observation ID
bin.obs()[0].id(cubefile)
bin.obs()[0].eventfile(cubefile)
# Append result to observations
obs.extend(bin.obs())
# Save XML file
xml = gammalib.GXml()
obs.write(xml)
xml.save('obs_cube.xml')
# Perform maximum likelihood fitting
like = ctools.ctlike()
like['inobs'] = 'obs_cube.xml'
like['inmodel'] = model
like['outmodel'] = 'fit_results.xml'
like['expcube'] = 'NONE'
like['psfcube'] = 'NONE'
like['bkgcube'] = 'NONE'
like['caldb'] = caldb
like['irf'] = irf
like['debug'] = True # Switch this always on for results in console
like.execute()
# Return
return
# ======================== #
# Main routine entry point #
# ======================== #
if __name__ == '__main__':
# Dump header
print('********************************************')
print('* CTA binned analysis pipeline *')
print('********************************************')
# Setup observations
obs = setup_observations()
# Setup model
obs = setup_model(obs)
# Run analysis pipeline
run_pipeline(obs)