pipeline_stacked_disk.py
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#! /usr/bin/env python
# ==========================================================================
# Perform stacked analysis 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
import cscripts
# ================================ #
# Simulation and analysis pipeline #
# ================================ #
def run_pipeline(obs, ra=83.63, dec=22.01, emin=0.1, emax=100.0,
enumbins=20, nxpix=200, nypix=200, binsz=0.02,
coordsys='CEL', proj='CAR',
model='data/crab.xml',
caldb='prod2', irf='South_0.5h',
debug=False):
"""
Simulation and stacked analysis pipeline
Parameters
----------
obs : `~gammalib.GObservations`
Observation container
ra : float, optional
Right Ascension of counts cube centre (deg)
dec : float, optional
Declination of Region of counts cube centre (deg)
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)
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 into counts map
bin = ctools.ctbin()
bin['inobs'] = 'obs.xml'
bin['outcube'] = 'cntcube.fits'
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['proj'] = proj
bin['xref'] = ra
bin['yref'] = dec
bin['debug'] = debug
bin.execute()
# Create exposure cube
expcube = ctools.ctexpcube()
expcube['inobs'] = 'obs.xml'
expcube['incube'] = 'cntcube.fits'
expcube['outcube'] = 'expcube.fits'
expcube['caldb'] = caldb
expcube['irf'] = irf
expcube['ebinalg'] = 'LOG'
expcube['emin'] = emin
expcube['emax'] = emax
expcube['enumbins'] = enumbins
expcube['nxpix'] = nxpix
expcube['nypix'] = nypix
expcube['binsz'] = binsz
expcube['coordsys'] = coordsys
expcube['proj'] = proj
expcube['xref'] = ra
expcube['yref'] = dec
expcube['debug'] = debug
expcube.execute()
# Create PSF cube
psfcube = ctools.ctpsfcube()
psfcube['inobs'] = 'obs.xml'
psfcube['incube'] = 'NONE'
psfcube['outcube'] = 'psfcube.fits'
psfcube['caldb'] = caldb
psfcube['irf'] = irf
psfcube['ebinalg'] = 'LOG'
psfcube['emin'] = emin
psfcube['emax'] = emax
psfcube['enumbins'] = enumbins
psfcube['nxpix'] = 10
psfcube['nypix'] = 10
psfcube['binsz'] = 1.0
psfcube['coordsys'] = coordsys
psfcube['proj'] = proj
psfcube['xref'] = ra
psfcube['yref'] = dec
psfcube['debug'] = debug
psfcube.execute()
# Create background cube
bkgcube = ctools.ctbkgcube()
bkgcube['inobs'] = 'obs.xml'
bkgcube['inmodel'] = model
bkgcube['incube'] = 'NONE'
bkgcube['outcube'] = 'bkgcube.fits'
bkgcube['outmodel'] = 'model_bkg.xml'
bkgcube['caldb'] = caldb
bkgcube['irf'] = irf
bkgcube['ebinalg'] = 'LOG'
bkgcube['emin'] = emin
bkgcube['emax'] = emax
bkgcube['enumbins'] = enumbins
bkgcube['nxpix'] = 10
bkgcube['nypix'] = 10
bkgcube['binsz'] = 1.0
bkgcube['coordsys'] = coordsys
bkgcube['proj'] = proj
bkgcube['xref'] = ra
bkgcube['yref'] = dec
bkgcube['debug'] = debug
bkgcube.execute()
# Perform maximum likelihood fitting
like = ctools.ctlike()
like['inobs'] = 'cntcube.fits'
like['inmodel'] = 'model_bkg.xml'
like['outmodel'] = 'fit_results.xml'
like['expcube'] = 'expcube.fits'
like['psfcube'] = 'psfcube.fits'
like['bkgcube'] = 'bkgcube.fits'
like['caldb'] = caldb
like['irf'] = irf
like['debug'] = True # Switch this always on for results in console
like.execute()
# Return
return
# ====================================================== #
# Run stacked pipeline with intermediate results on disk #
# ====================================================== #
def pipeline_stacked_disk():
"""
Run stacked pipeline with intermediate results on disk
"""
# Set usage string
usage = 'pipeline_stacked_disk.py [-d datadir]'
# Set default options
options = [{'option': '-d', 'value': 'data'}]
# Get arguments and options from command line arguments
args, options = cscripts.ioutils.get_args_options(options, usage)
# Extract script parameters from options
datadir = options[0]['value']
# Setup observations
obs = cscripts.obsutils.set_observations(83.63, 22.01, 5.0, 0.0, 180.0,
0.1, 100.0, 'South_0.5h', 'prod2',
pattern='four', offset=1.5)
# Setup model
obs.models(gammalib.GModels(datadir+'/crab.xml'))
# Run analysis pipeline
run_pipeline(obs, model=datadir+'/crab.xml', enumbins=10, nxpix=40,
nypix=40, binsz=0.1)
# Return
return
# ======================== #
# Main routine entry point #
# ======================== #
if __name__ == '__main__':
# Run stacked pipeline with intermediate results on disk
pipeline_stacked_disk()