Eirik Hatlen / ctools

Commit 1691ebb4feed43b19e25a07407230dc915a37077

Authored by Jürgen Knödlseder
1 parent 4cf2e59e

Speed up ctools unit tests

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Showing 36 changed files with 237 additions and 1835 deletions
examples/Makefile.am
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... ... @@ -21,16 +21,7 @@
21 21  
22 22 # Scripts to be install
23 23 scripts = README.md \
24   - generate_prod3_irfs.py \
25 24 make_pointings.py \
26   - make_spectrum.py \
27   - make_ts_distributions.py \
28   - pipeline_binned_disk.py \
29   - pipeline_binned_mem.py \
30   - pipeline_stacked_disk.py \
31   - pipeline_stacked_mem.py \
32   - pipeline_unbinned_disk.py \
33   - pipeline_unbinned_mem.py \
34 25 show_butterfly.py \
35 26 show_irf.py \
36 27 show_model.py \
... ...
examples/README.md
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... ... @@ -4,47 +4,12 @@ ctools examples
4 4 This folder contains Python example scripts that illustrate the usage of
5 5 the ctools.
6 6  
7   -`generate_prod3_irfs.py`
8   -> Generates Prod3 Instrument Response Functions from FITS files.
9   -
10 7 `make_pointings.py`
11 8 > Creates pointings for CTA surveys. For the moment the Galactic Plane
12 9 > Survey (gps), the Extragalactic Survey (extgal), the Galactic Centre
13 10 > Survey (gc) and the LMC survey (lmc) are implemented. The script outputs
14 11 > and ASCII file that can be used by csobsdef.
15 12  
16   -`make_spectrum.py`
17   -> Simulates events and generates a spectrum from the using csspec.
18   -
19   -`make_ts_distributions.py`
20   -> Creates TS distributions as function of energy for an OFF observaition
21   -> of 50 hours effective observing time. If the Python processing module is
22   -> installed the script can make use of multiple cores and runs in parallel.
23   -
24   -`pipeline_binned_disk.py`
25   -> Example pipeline for simulating events and performing a binned analysis
26   -> by saving intermediate results to disk.
27   -
28   -`pipeline_binned_mem.py`
29   -> Example pipeline for simulating events and performing a binned analysis
30   -> in memory. No files will be written to disk.
31   -
32   -`pipeline_stacked_disk.py`
33   -> Example pipeline for simulating events and performing a stacked analysis
34   -> by saving intermediate results to disk.
35   -
36   -`pipeline_stacked_mem.py`
37   -> Example pipeline for simulating events and performing a stacked analysis
38   -> in memory. No files will be written to disk.
39   -
40   -`pipeline_unbinned_disk.py`
41   -> Example pipeline for simulating events and performing an unbinned analysis
42   -> by saving intermediate results to disk.
43   -
44   -`pipeline_unbinned_mem.py`
45   -> Example pipeline for simulating events and performing an unbinned analysis
46   -> in memory. No files will be written to disk.
47   -
48 13 `show_butterfly.py`
49 14 > Displays a butterfly generated using the ctbutterfly tool.
50 15  
... ...
examples/generate_prod3_irfs.py deleted
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1   -#! /usr/bin/env python
2   -# ==========================================================================
3   -# Generates Prod3 IRFs from ROOT performance files
4   -#
5   -# Copyright (C) 2016 Juergen Knoedlseder
6   -#
7   -# This program is free software: you can redistribute it and/or modify
8   -# it under the terms of the GNU General Public License as published by
9   -# the Free Software Foundation, either version 3 of the License, or
10   -# (at your option) any later version.
11   -#
12   -# This program is distributed in the hope that it will be useful,
13   -# but WITHOUT ANY WARRANTY; without even the implied warranty of
14   -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15   -# GNU General Public License for more details.
16   -#
17   -# You should have received a copy of the GNU General Public License
18   -# along with this program. If not, see <http://www.gnu.org/licenses/>.
19   -#
20   -# ==========================================================================
21   -import sys
22   -import cscripts
23   -
24   -
25   -# ======================= #
26   -# Set Prod3 DESY database #
27   -# ======================= #
28   -def set_prod3_desy(datadir):
29   - """
30   - Set Prod3 DESY database
31   -
32   - This function sets the calibration database. By adding dictionaries to
33   - the "db" list a number of calibrations can be defined for which IRFs
34   - should be generated. All calibrations will be added to the calibration
35   - database.
36   -
37   - Parameters
38   - ----------
39   - datadir : str
40   - Data directory
41   -
42   - Returns
43   - -------
44   - db : list of dict
45   - Database
46   - """
47   - # Set database content
48   - db = [{'inst': 'prod3', 'id': 'South_50h', 'analysis': 'DESY',
49   - 'oversample': 3, 'norm1d': False, 'bgdinfill': False,
50   - 'bgdethres': 10.0, 'path': datadir, 'file': 'irf.root'}]
51   -
52   - # Return database
53   - return db
54   -
55   -
56   -# =================== #
57   -# Generate Prod3 IRFs #
58   -# =================== #
59   -def generate_prod3_irfs():
60   - """
61   - Generate Prod3 IRFs
62   - """
63   - # Get optional argument
64   - if len(sys.argv) == 2:
65   - datadir = sys.argv[1]
66   - else:
67   - datadir = 'data'
68   -
69   - # Get database
70   - entries = set_prod3_desy(datadir)
71   -
72   - # Loop over entries
73   - for entry in entries:
74   -
75   - # Set filename
76   - filename = entry['path']+'/'+entry['file']
77   -
78   - # Set-up csroot2caldb
79   - caldb = cscripts.csroot2caldb()
80   - caldb['infile'] = filename
81   - caldb['outdir'] = 'prod3'
82   - caldb['inst'] = entry['inst']
83   - caldb['id'] = entry['id']
84   - caldb['version'] = entry['inst']
85   - caldb['analysis'] = entry.setdefault('analysis', 'DESY')
86   - caldb['zenith'] = entry.setdefault('zenith', 20.0)
87   - caldb['azimuth'] = entry.setdefault('azimuth', 0.0)
88   - caldb['psftype'] = entry.setdefault('psftype', 'Gauss')
89   - caldb['norm1d'] = entry.setdefault('norm1d', False)
90   - caldb['rebin'] = entry.setdefault('rebin', False)
91   - caldb['eascale'] = entry.setdefault('eascale', 1.0)
92   - caldb['bgdscale'] = entry.setdefault('bgdscale', 1.0)
93   - caldb['bgdoversample'] = entry.setdefault('oversample', 1)
94   - caldb['bgdethres'] = entry.setdefault('bgdethres', 1000.0)
95   - caldb['bgdinfill'] = entry.setdefault('bgdinfill', False)
96   - caldb['logfile'] = 'generate_prod3_irfs.log'
97   -
98   - # Add CALDB entry
99   - caldb.execute()
100   -
101   - # Return
102   - return
103   -
104   -
105   -# ======================== #
106   -# Main routine entry point #
107   -# ======================== #
108   -if __name__ == '__main__':
109   -
110   - # Generate Prod3 IRFs
111   - generate_prod3_irfs()
examples/make_spectrum.py deleted
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1   -#! /usr/bin/env python
2   -# ==========================================================================
3   -# Makes and optionally displays spectrum
4   -#
5   -# Copyright (C) 2014-2017 Juergen Knoedlseder
6   -#
7   -# This program is free software: you can redistribute it and/or modify
8   -# it under the terms of the GNU General Public License as published by
9   -# the Free Software Foundation, either version 3 of the License, or
10   -# (at your option) any later version.
11   -#
12   -# This program is distributed in the hope that it will be useful,
13   -# but WITHOUT ANY WARRANTY; without even the implied warranty of
14   -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15   -# GNU General Public License for more details.
16   -#
17   -# You should have received a copy of the GNU General Public License
18   -# along with this program. If not, see <http://www.gnu.org/licenses/>.
19   -#
20   -# ==========================================================================
21   -import sys
22   -import ctools
23   -import cscripts
24   -try:
25   - import matplotlib.pyplot as plt
26   - plt.figure()
27   - plt.close()
28   -except (ImportError, RuntimeError):
29   - print('This script needs the "matplotlib" module')
30   - sys.exit()
31   -
32   -
33   -# =============== #
34   -# Create spectrum #
35   -# =============== #
36   -def create_spectrum(datadir):
37   - """
38   - Simulate events and generate a source spectrum
39   -
40   - Returns
41   - -------
42   - datadir : str
43   - Data directory
44   - """
45   - # Set script parameters
46   - model_name = datadir+'/crab.xml'
47   - caldb = 'prod2'
48   - irf = 'South_0.5h'
49   - ra = 83.63
50   - dec = 22.01
51   - rad_sim = 3.0
52   - tstart = 0.0
53   - tstop = 1800.0
54   - emin = 0.1
55   - emax = 100.0
56   - enumbins = 10
57   -
58   - # Simulate events
59   - sim = ctools.ctobssim()
60   - sim['inmodel'] = model_name
61   - sim['caldb'] = caldb
62   - sim['irf'] = irf
63   - sim['ra'] = ra
64   - sim['dec'] = dec
65   - sim['rad'] = rad_sim
66   - sim['tmin'] = tstart
67   - sim['tmax'] = tstop
68   - sim['emin'] = emin
69   - sim['emax'] = emax
70   - sim.run()
71   -
72   - # Create spectrum
73   - spec = cscripts.csspec(sim.obs())
74   - spec['srcname'] = 'Crab'
75   - spec['method'] = 'AUTO'
76   - spec['outfile'] = 'example_spectrum.fits'
77   - spec['expcube'] = 'NONE'
78   - spec['psfcube'] = 'NONE'
79   - spec['bkgcube'] = 'NONE'
80   - spec['edisp'] = False
81   - spec['emin'] = emin
82   - spec['emax'] = emax
83   - spec['enumbins'] = enumbins
84   - spec['ebinalg'] = 'LOG'
85   - spec.run()
86   - spec.save()
87   -
88   - # Get copy of spectrum
89   - spectrum = spec.spectrum().copy()
90   -
91   - # Return
92   - return spectrum
93   -
94   -
95   -# ============= #
96   -# Plot spectrum #
97   -# ============= #
98   -def plot_spectrum(spectrum, plotfile):
99   - """
100   - Plot spectrum
101   -
102   - Parameters
103   - ----------
104   - spectrum : `~gammalib.GFits`
105   - Spectrum FITS file
106   - plotfile : str
107   - Plot filename
108   - """
109   - # Extract columns from spectrum file
110   - table = spectrum.table(1)
111   - c_energy = table['Energy']
112   - c_ed = table['ed_Energy']
113   - c_eu = table['eu_Energy']
114   - c_flux = table['Flux']
115   - c_eflux = table['e_Flux']
116   - c_ts = table['TS']
117   - c_upper = table['UpperLimit']
118   -
119   - # Initialise arrays to be filled
120   - energies = []
121   - flux = []
122   - ed_engs = []
123   - eu_engs = []
124   - e_flux = []
125   - ul_energies = []
126   - ul_ed_engs = []
127   - ul_eu_engs = []
128   - ul_flux = []
129   -
130   - # Get number of spectral points
131   - nrows = table.nrows()
132   -
133   - # Loop over rows of the file
134   - for row in range(nrows):
135   -
136   - # Get TS value, flux and flux error
137   - ts = c_ts.real(row)
138   - flx = c_flux.real(row)
139   - e_flx = c_eflux.real(row)
140   -
141   - # If the TS > 9 and the flux error is smaller than the flux then
142   - # take the fitted flux and flux error and append them to the
143   - # arrays
144   - if ts > 9.0 and e_flx < flx:
145   -
146   - # Add information
147   - energies.append(c_energy.real(row))
148   - flux.append(c_flux.real(row))
149   - ed_engs.append(c_ed.real(row))
150   - eu_engs.append(c_eu.real(row))
151   - e_flux.append(c_eflux.real(row))
152   -
153   - # ... otherwise take the upper limit and append it to the upper
154   - # limit array
155   - else:
156   -
157   - # Add information
158   - ul_energies.append(c_energy.real(row))
159   - ul_flux.append(c_upper.real(row))
160   - ul_ed_engs.append(c_ed.real(row))
161   - ul_eu_engs.append(c_eu.real(row))
162   -
163   - # Create figure
164   - plt.figure()
165   - plt.title('Crab spectrum')
166   -
167   - # Plot the spectrum
168   - plt.loglog()
169   - plt.grid()
170   -
171   - # Plot error bars for flux points and upper limits for upper limit
172   - # points
173   - plt.errorbar(energies, flux, yerr=e_flux, xerr=[ed_engs, eu_engs],
174   - fmt='ro')
175   - plt.errorbar(ul_energies, ul_flux, xerr=[ul_ed_engs, ul_eu_engs],
176   - yerr=1.0e-11, uplims=True, fmt='ro')
177   -
178   - # Add plot labels
179   - plt.xlabel('Energy (TeV)')
180   - plt.ylabel(r'E$^{2}$dN/dE (erg cm$^{-2}$ s$^{-1}$)')
181   -
182   - # Show spectrum or save it into file
183   - if len(plotfile) > 0:
184   - plt.savefig(plotfile)
185   - else:
186   - plt.show()
187   -
188   - # Return
189   - return
190   -
191   -
192   -# ============= #
193   -# Make spectrum #
194   -# ============= #
195   -def make_spectrum():
196   - """
197   - Make spectrum
198   - """
199   - # Set usage string
200   - usage = 'make_spectrum.py [-d datadir] [-p plotfile]'
201   -
202   - # Set default options
203   - options = [{'option': '-d', 'value': 'data'},
204   - {'option': '-p', 'value': ''}]
205   -
206   - # Get arguments and options from command line arguments
207   - _, options = cscripts.ioutils.get_args_options(options, usage)
208   -
209   - # Extract script parameters from options
210   - datadir = options[0]['value']
211   - plotfile = options[1]['value']
212   -
213   - # Generate spectrum
214   - spectrum = create_spectrum(datadir)
215   -
216   - # Plot spectrum
217   - plot_spectrum(spectrum, plotfile)
218   -
219   - # Return
220   - return
221   -
222   -# ======================== #
223   -# Main routine entry point #
224   -# ======================== #
225   -if __name__ == '__main__':
226   -
227   - # Make spectrum
228   - make_spectrum()
examples/make_ts_distributions.py deleted
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1   -#! /usr/bin/env python
2   -# ==========================================================================
3   -# Generate TS distributions as function of energy for an OFF observation
4   -#
5   -# Copyright (C) 2011-2016 Jurgen Knodlseder
6   -#
7   -# This program is free software: you can redistribute it and/or modify
8   -# it under the terms of the GNU General Public License as published by
9   -# the Free Software Foundation, either version 3 of the License, or
10   -# (at your option) any later version.
11   -#
12   -# This program is distributed in the hope that it will be useful,
13   -# but WITHOUT ANY WARRANTY; without even the implied warranty of
14   -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15   -# GNU General Public License for more details.
16   -#
17   -# You should have received a copy of the GNU General Public License
18   -# along with this program. If not, see <http://www.gnu.org/licenses/>.
19   -#
20   -# ==========================================================================
21   -import cscripts
22   -
23   -
24   -# ====================== #
25   -# Create TS distribution #
26   -# ====================== #
27   -def create_ts(datadir, loge, emin, emax, ntrials=100, duration=180000.0,
28   - enumbins=0, log=False):
29   - """
30   - Create TS distribution.
31   -
32   - Parameters
33   - ----------
34   - datadir : str
35   - Data directory
36   - loge : float
37   - Logarithm of mean energy (TeV)
38   - emin : float
39   - Minimum energy (TeV)
40   - emax : float
41   - Maximum energy (TeV)
42   - ntrials : int, optional
43   - Number of MC samples
44   - durations : float, optional
45   - Observation duration (s)
46   - enumbins : int, optional
47   - Number of energy bins
48   - log : bool, optional
49   - Create log file(s)
50   - """
51   - # Generate output filename
52   - outfile = 'ts_'+str(loge)+'.dat'
53   -
54   - # Setup cstsdist tool
55   - tsdist = cscripts.cstsdist()
56   - tsdist['inmodel'] = datadir+'/crab.xml'
57   - tsdist['srcname'] = 'Crab'
58   - tsdist['outfile'] = outfile
59   - tsdist['ntrials'] = ntrials
60   - tsdist['caldb'] = 'prod2'
61   - tsdist['irf'] = 'South_50h'
62   - tsdist['ra'] = 83.63
63   - tsdist['dec'] = 22.01
64   - tsdist['emin'] = emin
65   - tsdist['emax'] = emax
66   - tsdist['enumbins'] = enumbins
67   - tsdist['tmin'] = 0
68   - tsdist['tmax'] = duration
69   - tsdist['rad'] = 5.0
70   - tsdist['npix'] = 200
71   - tsdist['binsz'] = 0.05
72   -
73   - # Optionally open the log file
74   - if log:
75   - tsdist.logFileOpen()
76   -
77   - # Run tool
78   - tsdist.run()
79   -
80   - # Return
81   - return
82   -
83   -
84   -# ==================== #
85   -# Make TS distribution #
86   -# ==================== #
87   -def make_ts_distribution():
88   - """
89   - Make TS distribution
90   - """
91   - # Set usage string
92   - usage = 'make_ts_distributions.py [-n ntrials] [-e enumbins]'\
93   - ' [-t duration] [-m max_threads] [-d datadir]'
94   -
95   - # Set default options
96   - options = [{'option': '-n', 'value': '100'},
97   - {'option': '-e', 'value': '0'},
98   - {'option': '-t', 'value': '180000.0'},
99   - {'option': '-m', 'value': '1'},
100   - {'option': '-d', 'value': 'data'}]
101   -
102   - # Get arguments and options from command line arguments
103   - _, options = cscripts.ioutils.get_args_options(options, usage)
104   -
105   - # Extract script parameters from options
106   - ntrials = int(options[0]['value'])
107   - enumbins = int(options[1]['value'])
108   - duration = float(options[2]['value'])
109   - #max_threads = int(options[3]['value'])
110   - datadir = options[4]['value']
111   -
112   - # Loop over energy bands. The energy bands are those that are also
113   - # used for sensitivity computation.
114   - for ieng in range(18):
115   -
116   - # Set energies
117   - loge = -1.3 + ieng * 0.2
118   - emin = pow(10.0, loge-0.1)
119   - emax = pow(10.0, loge+0.1)
120   - if loge < 0:
121   - loge = 'm'+str(abs(loge))
122   - else:
123   - loge = 'p'+str(abs(loge))
124   -
125   - # Create TS
126   - create_ts(datadir, loge, emin, emax, ntrials=ntrials,
127   - enumbins=enumbins, duration=duration)
128   -
129   - # Return
130   - return
131   -
132   -
133   -# ======================== #
134   -# Main routine entry point #
135   -# ======================== #
136   -if __name__ == '__main__':
137   -
138   - # Make TS distribution
139   - make_ts_distribution()
examples/pipeline_binned_disk.py deleted
View file @4cf2e59
1   -#! /usr/bin/env python
2   -# ==========================================================================
3   -# Perform binned analysis of simulated CTA data
4   -#
5   -# Copyright (C) 2015-2016 Juergen Knoedlseder
6   -#
7   -# This program is free software: you can redistribute it and/or modify
8   -# it under the terms of the GNU General Public License as published by
9   -# the Free Software Foundation, either version 3 of the License, or
10   -# (at your option) any later version.
11   -#
12   -# This program is distributed in the hope that it will be useful,
13   -# but WITHOUT ANY WARRANTY; without even the implied warranty of
14   -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15   -# GNU General Public License for more details.
16   -#
17   -# You should have received a copy of the GNU General Public License
18   -# along with this program. If not, see <http://www.gnu.org/licenses/>.
19   -#
20   -# ==========================================================================
21   -import gammalib
22   -import ctools
23   -import cscripts
24   -
25   -
26   -# ================================ #
27   -# Simulation and analysis pipeline #
28   -# ================================ #
29   -def run_pipeline(obs, emin=0.1, emax=100.0,
30   - enumbins=20, nxpix=200, nypix=200, binsz=0.02,
31   - coordsys='CEL', proj='CAR',
32   - model='data/crab.xml',
33   - caldb='prod2', irf='South_0.5h',
34   - debug=False):
35   - """
36   - Simulation and binned analysis pipeline
37   -
38   - Parameters
39   - ----------
40   - obs : `~gammalib.GObservations`
41   - Observation container
42   - emin : float, optional
43   - Minimum energy (TeV)
44   - emax : float, optional
45   - Maximum energy (TeV)
46   - enumbins : int, optional
47   - Number of energy bins
48   - nxpix : int, optional
49   - Number of pixels in X axis
50   - nypix : int, optional
51   - Number of pixels in Y axis
52   - binsz : float, optional
53   - Pixel size (deg)
54   - coordsys : str, optional
55   - Coordinate system
56   - proj : str, optional
57   - Coordinate projection
58   - model : str, optional
59   - Model definition XML file
60   - caldb : str, optional
61   - Calibration database path
62   - irf : str, optional
63   - Instrument response function
64   - debug : bool, optional
65   - Debug function
66   - """
67   - # Simulate events
68   - sim = ctools.ctobssim(obs)
69   - sim['debug'] = debug
70   - sim['outevents'] = 'obs.xml'
71   - sim.execute()
72   -
73   - # Bin events by looping over all observations in the container
74   - sim_obs = gammalib.GObservations('obs.xml')
75   - obs = gammalib.GObservations()
76   - for run in sim_obs:
77   -
78   - # Get event filename and set counts cube filename
79   - eventfile = run.eventfile().url()
80   - cubefile = 'cube_'+eventfile
81   -
82   - # Bin events for that observation
83   - binning = ctools.ctbin()
84   - binning['inobs'] = eventfile
85   - binning['outcube'] = cubefile
86   - binning['ebinalg'] = 'LOG'
87   - binning['emin'] = emin
88   - binning['emax'] = emax
89   - binning['enumbins'] = enumbins
90   - binning['nxpix'] = nxpix
91   - binning['nypix'] = nypix
92   - binning['binsz'] = binsz
93   - binning['coordsys'] = coordsys
94   - binning['usepnt'] = True
95   - binning['proj'] = proj
96   - binning.execute()
97   -
98   - # Set observation ID
99   - binning.obs()[0].id(cubefile)
100   - binning.obs()[0].eventfile(cubefile)
101   -
102   - # Append result to observations
103   - obs.extend(binning.obs())
104   -
105   - # Save XML file
106   - xml = gammalib.GXml()
107   - obs.write(xml)
108   - xml.save('obs_cube.xml')
109   -
110   - # Perform maximum likelihood fitting
111   - like = ctools.ctlike()
112   - like['inobs'] = 'obs_cube.xml'
113   - like['inmodel'] = model
114   - like['outmodel'] = 'fit_results.xml'
115   - like['expcube'] = 'NONE'
116   - like['psfcube'] = 'NONE'
117   - like['bkgcube'] = 'NONE'
118   - like['caldb'] = caldb
119   - like['irf'] = irf
120   - like['debug'] = True # Switch this always on for results in console
121   - like.execute()
122   -
123   - # Return
124   - return
125   -
126   -
127   -# ===================================================== #
128   -# Run binned pipeline with intermediate results on disk #
129   -# ===================================================== #
130   -def pipeline_binned_disk():
131   - """
132   - Run binned pipeline with intermediate results on disk
133   - """
134   - # Set usage string
135   - usage = 'pipeline_binned_disk.py [-d datadir]'
136   -
137   - # Set default options
138   - options = [{'option': '-d', 'value': 'data'}]
139   -
140   - # Get arguments and options from command line arguments
141   - _, options = cscripts.ioutils.get_args_options(options, usage)
142   -
143   - # Extract script parameters from options
144   - datadir = options[0]['value']
145   -
146   - # Setup observations
147   - obs = cscripts.obsutils.set_observations(83.63, 22.01, 5.0, 0.0, 180.0,
148   - 0.1, 100.0, 'South_0.5h', 'prod2',
149   - pattern='four', offset=1.5)
150   -
151   - # Setup model
152   - obs.models(gammalib.GModels(datadir+'/crab.xml'))
153   -
154   - # Run analysis pipeline
155   - run_pipeline(obs, model=datadir+'/crab.xml', enumbins=10, nxpix=40,
156   - nypix=40, binsz=0.1)
157   -
158   - # Return
159   - return
160   -
161   -
162   -# ======================== #
163   -# Main routine entry point #
164   -# ======================== #
165   -if __name__ == '__main__':
166   -
167   - # Run binned pipeline with intermediate results on disk
168   - pipeline_binned_disk()
examples/pipeline_binned_mem.py deleted
View file @4cf2e59
1   -#! /usr/bin/env python
2   -# ==========================================================================
3   -# Perform binned in-memory analysis of simulated CTA data.
4   -#
5   -# Copyright (C) 2015-2016 Juergen Knoedlseder
6   -#
7   -# This program is free software: you can redistribute it and/or modify
8   -# it under the terms of the GNU General Public License as published by
9   -# the Free Software Foundation, either version 3 of the License, or
10   -# (at your option) any later version.
11   -#
12   -# This program is distributed in the hope that it will be useful,
13   -# but WITHOUT ANY WARRANTY; without even the implied warranty of
14   -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15   -# GNU General Public License for more details.
16   -#
17   -# You should have received a copy of the GNU General Public License
18   -# along with this program. If not, see <http://www.gnu.org/licenses/>.
19   -#
20   -# ==========================================================================
21   -import gammalib
22   -import ctools
23   -import cscripts
24   -
25   -
26   -# ================================ #
27   -# Simulation and analysis pipeline #
28   -# ================================ #
29   -def run_pipeline(obs, emin=0.1, emax=100.0,
30   - enumbins=20, nxpix=200, nypix=200, binsz=0.02,
31   - coordsys='CEL', proj='CAR', debug=False):
32   - """
33   - Simulation and binned analysis pipeline
34   -
35   - Parameters
36   - ----------
37   - obs : `~gammalib.GObservations`
38   - Observation container
39   - emin : float, optional
40   - Minimum energy (TeV)
41   - emax : float, optional
42   - Maximum energy (TeV)
43   - enumbins : int, optional
44   - Number of energy bins
45   - nxpix : int, optional
46   - Number of pixels in X axis
47   - nypix : int, optional
48   - Number of pixels in Y axis
49   - binsz : float, optional
50   - Pixel size (deg)
51   - coordsys : str, optional
52   - Coordinate system
53   - proj : str, optional
54   - Coordinate projection
55   - debug : bool, optional
56   - Debug function
57   - """
58   - # Simulate events
59   - sim = ctools.ctobssim(obs)
60   - sim['debug'] = debug
61   - sim.run()
62   -
63   - # Bin events by looping over all observations in the container
64   - obs = gammalib.GObservations()
65   - obs.models(sim.obs().models())
66   - for run in sim.obs():
67   -
68   - # Create container with a single observation
69   - container = gammalib.GObservations()
70   - container.append(run)
71   -
72   - # Bin events for that observation
73   - binning = ctools.ctbin(container)
74   - binning['ebinalg'] = 'LOG'
75   - binning['emin'] = emin
76   - binning['emax'] = emax
77   - binning['enumbins'] = enumbins
78   - binning['nxpix'] = nxpix
79   - binning['nypix'] = nypix
80   - binning['binsz'] = binsz
81   - binning['coordsys'] = coordsys
82   - binning['usepnt'] = True
83   - binning['proj'] = proj
84   - binning.run()
85   -
86   - # Append result to observations
87   - obs.extend(binning.obs())
88   -
89   - # Perform maximum likelihood fitting
90   - like = ctools.ctlike(obs)
91   - like['debug'] = True # Switch this always on for results in console
92   - like.run()
93   -
94   - # Return
95   - return
96   -
97   -
98   -# ============================= #
99   -# Run binned in-memory pipeline #
100   -# ============================= #
101   -def pipeline_binned_mem():
102   - """
103   - Run binned in-memory pipeline
104   - """
105   - # Set usage string
106   - usage = 'pipeline_binned_mem.py [-d datadir]'
107   -
108   - # Set default options
109   - options = [{'option': '-d', 'value': 'data'}]
110   -
111   - # Get arguments and options from command line arguments
112   - _, options = cscripts.ioutils.get_args_options(options, usage)
113   -
114   - # Extract script parameters from options
115   - datadir = options[0]['value']
116   -
117   - # Setup observations
118   - obs = cscripts.obsutils.set_observations(83.63, 22.01, 5.0, 0.0, 180.0,
119   - 0.1, 100.0, 'South_0.5h', 'prod2',
120   - pattern='four', offset=1.5)
121   -
122   - # Setup model
123   - obs.models(gammalib.GModels(datadir+'/crab.xml'))
124   -
125   - # Run analysis pipeline
126   - run_pipeline(obs, enumbins=10, nxpix=40, nypix=40, binsz=0.1)
127   -
128   - # Return
129   - return
130   -
131   -
132   -# ======================== #
133   -# Main routine entry point #
134   -# ======================== #
135   -if __name__ == '__main__':
136   -
137   - # Run binned in-memory pipeline
138   - pipeline_binned_mem()
examples/pipeline_stacked_disk.py deleted
View file @4cf2e59
1   -#! /usr/bin/env python
2   -# ==========================================================================
3   -# Perform stacked analysis of simulated CTA data.
4   -#
5   -# Copyright (C) 2015-2016 Juergen Knoedlseder
6   -#
7   -# This program is free software: you can redistribute it and/or modify
8   -# it under the terms of the GNU General Public License as published by
9   -# the Free Software Foundation, either version 3 of the License, or
10   -# (at your option) any later version.
11   -#
12   -# This program is distributed in the hope that it will be useful,
13   -# but WITHOUT ANY WARRANTY; without even the implied warranty of
14   -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15   -# GNU General Public License for more details.
16   -#
17   -# You should have received a copy of the GNU General Public License
18   -# along with this program. If not, see <http://www.gnu.org/licenses/>.
19   -#
20   -# ==========================================================================
21   -import gammalib
22   -import ctools
23   -import cscripts
24   -
25   -
26   -# ================================ #
27   -# Simulation and analysis pipeline #
28   -# ================================ #
29   -def run_pipeline(obs, ra=83.63, dec=22.01, emin=0.1, emax=100.0,
30   - enumbins=20, nxpix=200, nypix=200, binsz=0.02,
31   - coordsys='CEL', proj='CAR',
32   - model='data/crab.xml',
33   - caldb='prod2', irf='South_0.5h',
34   - debug=False):
35   - """
36   - Simulation and stacked analysis pipeline
37   -
38   - Parameters
39   - ----------
40   - obs : `~gammalib.GObservations`
41   - Observation container
42   - ra : float, optional
43   - Right Ascension of counts cube centre (deg)
44   - dec : float, optional
45   - Declination of Region of counts cube centre (deg)
46   - emin : float, optional
47   - Minimum energy (TeV)
48   - emax : float, optional
49   - Maximum energy (TeV)
50   - enumbins : int, optional
51   - Number of energy bins
52   - nxpix : int, optional
53   - Number of pixels in X axis
54   - nypix : int, optional
55   - Number of pixels in Y axis
56   - binsz : float, optional
57   - Pixel size (deg)
58   - coordsys : str, optional
59   - Coordinate system
60   - proj : str, optional
61   - Coordinate projection
62   - model : str, optional
63   - Model definition XML file
64   - caldb : str, optional
65   - Calibration database path
66   - irf : str, optional
67   - Instrument response function
68   - debug : bool, optional
69   - Debug function
70   - """
71   - # Simulate events
72   - sim = ctools.ctobssim(obs)
73   - sim['debug'] = debug
74   - sim['outevents'] = 'obs.xml'
75   - sim.execute()
76   -
77   - # Bin events into counts map
78   - binning = ctools.ctbin()
79   - binning['inobs'] = 'obs.xml'
80   - binning['outcube'] = 'cntcube.fits'
81   - binning['ebinalg'] = 'LOG'
82   - binning['emin'] = emin
83   - binning['emax'] = emax
84   - binning['enumbins'] = enumbins
85   - binning['nxpix'] = nxpix
86   - binning['nypix'] = nypix
87   - binning['binsz'] = binsz
88   - binning['coordsys'] = coordsys
89   - binning['proj'] = proj
90   - binning['xref'] = ra
91   - binning['yref'] = dec
92   - binning['debug'] = debug
93   - binning.execute()
94   -
95   - # Create exposure cube
96   - expcube = ctools.ctexpcube()
97   - expcube['inobs'] = 'obs.xml'
98   - expcube['incube'] = 'cntcube.fits'
99   - expcube['outcube'] = 'expcube.fits'
100   - expcube['caldb'] = caldb
101   - expcube['irf'] = irf
102   - expcube['ebinalg'] = 'LOG'
103   - expcube['emin'] = emin
104   - expcube['emax'] = emax
105   - expcube['enumbins'] = enumbins
106   - expcube['nxpix'] = nxpix
107   - expcube['nypix'] = nypix
108   - expcube['binsz'] = binsz
109   - expcube['coordsys'] = coordsys
110   - expcube['proj'] = proj
111   - expcube['xref'] = ra
112   - expcube['yref'] = dec
113   - expcube['debug'] = debug
114   - expcube.execute()
115   -
116   - # Create PSF cube
117   - psfcube = ctools.ctpsfcube()
118   - psfcube['inobs'] = 'obs.xml'
119   - psfcube['incube'] = 'NONE'
120   - psfcube['outcube'] = 'psfcube.fits'
121   - psfcube['caldb'] = caldb
122   - psfcube['irf'] = irf
123   - psfcube['ebinalg'] = 'LOG'
124   - psfcube['emin'] = emin
125   - psfcube['emax'] = emax
126   - psfcube['enumbins'] = enumbins
127   - psfcube['nxpix'] = 10
128   - psfcube['nypix'] = 10
129   - psfcube['binsz'] = 1.0
130   - psfcube['coordsys'] = coordsys
131   - psfcube['proj'] = proj
132   - psfcube['xref'] = ra
133   - psfcube['yref'] = dec
134   - psfcube['debug'] = debug
135   - psfcube.execute()
136   -
137   - # Create background cube
138   - bkgcube = ctools.ctbkgcube()
139   - bkgcube['inobs'] = 'obs.xml'
140   - bkgcube['inmodel'] = model
141   - bkgcube['incube'] = 'NONE'
142   - bkgcube['outcube'] = 'bkgcube.fits'
143   - bkgcube['outmodel'] = 'model_bkg.xml'
144   - bkgcube['caldb'] = caldb
145   - bkgcube['irf'] = irf
146   - bkgcube['ebinalg'] = 'LOG'
147   - bkgcube['emin'] = emin
148   - bkgcube['emax'] = emax
149   - bkgcube['enumbins'] = enumbins
150   - bkgcube['nxpix'] = 10
151   - bkgcube['nypix'] = 10
152   - bkgcube['binsz'] = 1.0
153   - bkgcube['coordsys'] = coordsys
154   - bkgcube['proj'] = proj
155   - bkgcube['xref'] = ra
156   - bkgcube['yref'] = dec
157   - bkgcube['debug'] = debug
158   - bkgcube.execute()
159   -
160   - # Perform maximum likelihood fitting
161   - like = ctools.ctlike()
162   - like['inobs'] = 'cntcube.fits'
163   - like['inmodel'] = 'model_bkg.xml'
164   - like['outmodel'] = 'fit_results.xml'
165   - like['expcube'] = 'expcube.fits'
166   - like['psfcube'] = 'psfcube.fits'
167   - like['bkgcube'] = 'bkgcube.fits'
168   - like['caldb'] = caldb
169   - like['irf'] = irf
170   - like['debug'] = True # Switch this always on for results in console
171   - like.execute()
172   -
173   - # Return
174   - return
175   -
176   -
177   -# ====================================================== #
178   -# Run stacked pipeline with intermediate results on disk #
179   -# ====================================================== #
180   -def pipeline_stacked_disk():
181   - """
182   - Run stacked pipeline with intermediate results on disk
183   - """
184   - # Set usage string
185   - usage = 'pipeline_stacked_disk.py [-d datadir]'
186   -
187   - # Set default options
188   - options = [{'option': '-d', 'value': 'data'}]
189   -
190   - # Get arguments and options from command line arguments
191   - _, options = cscripts.ioutils.get_args_options(options, usage)
192   -
193   - # Extract script parameters from options
194   - datadir = options[0]['value']
195   -
196   - # Setup observations
197   - obs = cscripts.obsutils.set_observations(83.63, 22.01, 5.0, 0.0, 180.0,
198   - 0.1, 100.0, 'South_0.5h', 'prod2',
199   - pattern='four', offset=1.5)
200   -
201   - # Setup model
202   - obs.models(gammalib.GModels(datadir+'/crab.xml'))
203   -
204   - # Run analysis pipeline
205   - run_pipeline(obs, model=datadir+'/crab.xml', enumbins=10, nxpix=40,
206   - nypix=40, binsz=0.1)
207   -
208   - # Return
209   - return
210   -
211   -
212   -# ======================== #
213   -# Main routine entry point #
214   -# ======================== #
215   -if __name__ == '__main__':
216   -
217   - # Run stacked pipeline with intermediate results on disk
218   - pipeline_stacked_disk()
examples/pipeline_stacked_mem.py deleted
View file @4cf2e59
1   -#! /usr/bin/env python
2   -# ==========================================================================
3   -# Perform stacked in-memory analysis of simulated CTA data
4   -#
5   -# Copyright (C) 2014-2016 Juergen Knoedlseder
6   -#
7   -# This program is free software: you can redistribute it and/or modify
8   -# it under the terms of the GNU General Public License as published by
9   -# the Free Software Foundation, either version 3 of the License, or
10   -# (at your option) any later version.
11   -#
12   -# This program is distributed in the hope that it will be useful,
13   -# but WITHOUT ANY WARRANTY; without even the implied warranty of
14   -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15   -# GNU General Public License for more details.
16   -#
17   -# You should have received a copy of the GNU General Public License
18   -# along with this program. If not, see <http://www.gnu.org/licenses/>.
19   -#
20   -# ==========================================================================
21   -import gammalib
22   -import ctools
23   -import cscripts
24   -
25   -
26   -# ================================ #
27   -# Simulation and analysis pipeline #
28   -# ================================ #
29   -def run_pipeline(obs, ra=83.63, dec=22.01, emin=0.1, emax=100.0,
30   - enumbins=20, nxpix=200, nypix=200, binsz=0.02,
31   - coordsys='CEL', proj='CAR', debug=False):
32   - """
33   - Simulation and stacked analysis pipeline
34   -
35   - Parameters
36   - ----------
37   - obs : `~gammalib.GObservations`
38   - Observation container
39   - ra : float, optional
40   - Right Ascension of counts cube centre (deg)
41   - dec : float, optional
42   - Declination of Region of counts cube centre (deg)
43   - emin : float, optional
44   - Minimum energy (TeV)
45   - emax : float, optional
46   - Maximum energy (TeV)
47   - enumbins : int, optional
48   - Number of energy bins
49   - nxpix : int, optional
50   - Number of pixels in X axis
51   - nypix : int, optional
52   - Number of pixels in Y axis
53   - binsz : float, optional
54   - Pixel size (deg)
55   - coordsys : str, optional
56   - Coordinate system
57   - proj : str, optional
58   - Coordinate projection
59   - debug : bool, optional
60   - Debug function
61   - """
62   - # Simulate events
63   - sim = ctools.ctobssim(obs)
64   - sim['debug'] = debug
65   - sim.run()
66   -
67   - # Bin events into counts map
68   - binning = ctools.ctbin(sim.obs())
69   - binning['ebinalg'] = 'LOG'
70   - binning['emin'] = emin
71   - binning['emax'] = emax
72   - binning['enumbins'] = enumbins
73   - binning['nxpix'] = nxpix
74   - binning['nypix'] = nypix
75   - binning['binsz'] = binsz
76   - binning['coordsys'] = coordsys
77   - binning['proj'] = proj
78   - binning['xref'] = ra
79   - binning['yref'] = dec
80   - binning['debug'] = debug
81   - binning.run()
82   -
83   - # Create exposure cube
84   - expcube = ctools.ctexpcube(sim.obs())
85   - expcube['incube'] = 'NONE'
86   - expcube['ebinalg'] = 'LOG'
87   - expcube['emin'] = emin
88   - expcube['emax'] = emax
89   - expcube['enumbins'] = enumbins
90   - expcube['nxpix'] = nxpix
91   - expcube['nypix'] = nypix
92   - expcube['binsz'] = binsz
93   - expcube['coordsys'] = coordsys
94   - expcube['proj'] = proj
95   - expcube['xref'] = ra
96   - expcube['yref'] = dec
97   - expcube['debug'] = debug
98   - expcube.run()
99   -
100   - # Create PSF cube
101   - psfcube = ctools.ctpsfcube(sim.obs())
102   - psfcube['incube'] = 'NONE'
103   - psfcube['ebinalg'] = 'LOG'
104   - psfcube['emin'] = emin
105   - psfcube['emax'] = emax
106   - psfcube['enumbins'] = enumbins
107   - psfcube['nxpix'] = 10
108   - psfcube['nypix'] = 10
109   - psfcube['binsz'] = 1.0
110   - psfcube['coordsys'] = coordsys
111   - psfcube['proj'] = proj
112   - psfcube['xref'] = ra
113   - psfcube['yref'] = dec
114   - psfcube['debug'] = debug
115   - psfcube.run()
116   -
117   - # Create background cube
118   - bkgcube = ctools.ctbkgcube(sim.obs())
119   - bkgcube['incube'] = 'NONE'
120   - bkgcube['ebinalg'] = 'LOG'
121   - bkgcube['emin'] = emin
122   - bkgcube['emax'] = emax
123   - bkgcube['enumbins'] = enumbins
124   - bkgcube['nxpix'] = 10
125   - bkgcube['nypix'] = 10
126   - bkgcube['binsz'] = 1.0
127   - bkgcube['coordsys'] = coordsys
128   - bkgcube['proj'] = proj
129   - bkgcube['xref'] = ra
130   - bkgcube['yref'] = dec
131   - bkgcube['debug'] = debug
132   - bkgcube.run()
133   -
134   - # Attach background model to observation container
135   - binning.obs().models(bkgcube.models())
136   -
137   - # Set Exposure and Psf cube for first CTA observation
138   - # (ctbin will create an observation with a single container)
139   - binning.obs()[0].response(expcube.expcube(), psfcube.psfcube(), bkgcube.bkgcube())
140   -
141   - # Perform maximum likelihood fitting
142   - like = ctools.ctlike(binning.obs())
143   - like['debug'] = True # Switch this always on for results in console
144   - like.run()
145   -
146   - # Return
147   - return
148   -
149   -
150   -# ============================== #
151   -# Run stacked in-memory pipeline #
152   -# ============================== #
153   -def pipeline_stacked_mem():
154   - """
155   - Run stacked in-memory pipeline
156   - """
157   - # Set usage string
158   - usage = 'pipeline_stacked_mem.py [-d datadir]'
159   -
160   - # Set default options
161   - options = [{'option': '-d', 'value': 'data'}]
162   -
163   - # Get arguments and options from command line arguments
164   - _, options = cscripts.ioutils.get_args_options(options, usage)
165   -
166   - # Extract script parameters from options
167   - datadir = options[0]['value']
168   -
169   - # Setup observations
170   - obs = cscripts.obsutils.set_observations(83.63, 22.01, 5.0, 0.0, 180.0,
171   - 0.1, 100.0, 'South_0.5h', 'prod2',
172   - pattern='four', offset=1.5)
173   -
174   - # Setup model
175   - obs.models(gammalib.GModels(datadir+'/crab.xml'))
176   -
177   - # Run analysis pipeline
178   - run_pipeline(obs, enumbins=10, nxpix=40, nypix=40, binsz=0.1)
179   -
180   - # Return
181   - return
182   -
183   -
184   -# ======================== #
185   -# Main routine entry point #
186   -# ======================== #
187   -if __name__ == '__main__':
188   -
189   - # Run stacked in-memory pipeline
190   - pipeline_stacked_mem()
examples/pipeline_unbinned_disk.py deleted
View file @4cf2e59
1   -#! /usr/bin/env python
2   -# ==========================================================================
3   -# Perform unbinned analysis of simulated CTA data.
4   -#
5   -# Copyright (C) 2015-2016 Juergen Knoedlseder
6   -#
7   -# This program is free software: you can redistribute it and/or modify
8   -# it under the terms of the GNU General Public License as published by
9   -# the Free Software Foundation, either version 3 of the License, or
10   -# (at your option) any later version.
11   -#
12   -# This program is distributed in the hope that it will be useful,
13   -# but WITHOUT ANY WARRANTY; without even the implied warranty of
14   -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15   -# GNU General Public License for more details.
16   -#
17   -# You should have received a copy of the GNU General Public License
18   -# along with this program. If not, see <http://www.gnu.org/licenses/>.
19   -#
20   -# ==========================================================================
21   -import gammalib
22   -import ctools
23   -import cscripts
24   -
25   -
26   -# ================================ #
27   -# Simulation and analysis pipeline #
28   -# ================================ #
29   -def run_pipeline(obs, ra=83.63, dec=22.01, rad=3.0,
30   - emin=0.1, emax=100.0,
31   - tmin=0.0, tmax=0.0,
32   - model='data/crab.xml',
33   - caldb='prod2', irf='South_0.5h',
34   - debug=False):
35   - """
36   - Simulation and unbinned analysis pipeline
37   -
38   - Parameters
39   - ----------
40   - obs : `~gammalib.GObservations`
41   - Observation container
42   - ra : float, optional
43   - Right Ascension of Region of Interest centre (deg)
44   - dec : float, optional
45   - Declination of Region of Interest centre (deg)
46   - rad : float, optional
47   - Radius of Region of Interest (deg)
48   - emin : float, optional
49   - Minimum energy (TeV)
50   - emax : float, optional
51   - Maximum energy (TeV)
52   - tmin : float, optional
53   - Start time (s)
54   - tmax : float, optional
55   - Stop time (s)
56   - model : str, optional
57   - Model definition XML file
58   - caldb : str, optional
59   - Calibration database path
60   - irf : str, optional
61   - Instrument response function
62   - debug : bool, optional
63   - Debug function
64   - """
65   - # Get model
66   -
67   - # Simulate events
68   - sim = ctools.ctobssim(obs)
69   - sim['debug'] = debug
70   - sim['outevents'] = 'obs.xml'
71   - sim.execute()
72   -
73   - # Select events
74   - select = ctools.ctselect()
75   - select['inobs'] = 'obs.xml'
76   - select['outobs'] = 'obs_selected.xml'
77   - select['ra'] = ra
78   - select['dec'] = dec
79   - select['rad'] = rad
80   - select['emin'] = emin
81   - select['emax'] = emax
82   - select['tmin'] = tmin
83   - select['tmax'] = tmax
84   - select['debug'] = debug
85   - select.execute()
86   -
87   - # Perform maximum likelihood fitting
88   - like = ctools.ctlike()
89   - like['inobs'] = 'obs_selected.xml'
90   - like['inmodel'] = model
91   - like['outmodel'] = 'fit_results.xml'
92   - like['caldb'] = caldb
93   - like['irf'] = irf
94   - like['debug'] = True # Switch this always on for results in console
95   - like.execute()
96   -
97   - # Return
98   - return
99   -
100   -
101   -# ======================================================= #
102   -# Run unbinned pipeline with intermediate results on disk #
103   -# ======================================================= #
104   -def pipeline_unbinned_disk():
105   - """
106   - Run unbinned pipeline with intermediate results on disk
107   - """
108   - # Set usage string
109   - usage = 'pipeline_unbinned_disk.py [-d datadir]'
110   -
111   - # Set default options
112   - options = [{'option': '-d', 'value': 'data'}]
113   -
114   - # Get arguments and options from command line arguments
115   - _, options = cscripts.ioutils.get_args_options(options, usage)
116   -
117   - # Extract script parameters from options
118   - datadir = options[0]['value']
119   -
120   - # Setup observations
121   - obs = cscripts.obsutils.set_observations(83.63, 22.01, 5.0, 0.0, 180.0,
122   - 0.1, 100.0, 'South_0.5h', 'prod2',
123   - pattern='four', offset=1.5)
124   -
125   - # Setup model
126   - obs.models(gammalib.GModels(datadir+'/crab.xml'))
127   -
128   - # Run analysis pipeline
129   - run_pipeline(obs, model=datadir+'/crab.xml')
130   -
131   - # Return
132   - return
133   -
134   -
135   -# ======================== #
136   -# Main routine entry point #
137   -# ======================== #
138   -if __name__ == '__main__':
139   -
140   - # Run unbinned pipeline with intermediate results on disk
141   - pipeline_unbinned_disk()
examples/pipeline_unbinned_mem.py deleted
View file @4cf2e59
1   -#! /usr/bin/env python
2   -# ==========================================================================
3   -# Perform unbinned in-memory analysis of simulated CTA data
4   -#
5   -# Copyright (C) 2015-2016 Juergen Knoedlseder
6   -#
7   -# This program is free software: you can redistribute it and/or modify
8   -# it under the terms of the GNU General Public License as published by
9   -# the Free Software Foundation, either version 3 of the License, or
10   -# (at your option) any later version.
11   -#
12   -# This program is distributed in the hope that it will be useful,
13   -# but WITHOUT ANY WARRANTY; without even the implied warranty of
14   -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15   -# GNU General Public License for more details.
16   -#
17   -# You should have received a copy of the GNU General Public License
18   -# along with this program. If not, see <http://www.gnu.org/licenses/>.
19   -#
20   -# ==========================================================================
21   -import gammalib
22   -import ctools
23   -import cscripts
24   -
25   -
26   -# ================================ #
27   -# Simulation and analysis pipeline #
28   -# ================================ #
29   -def run_pipeline(obs, ra=83.63, dec=22.01, rad=3.0,
30   - emin=0.1, emax=100.0,
31   - tmin=0.0, tmax=0.0,
32   - debug=False):
33   - """
34   - Simulation and binned analysis pipeline
35   -
36   - Parameters
37   - ----------
38   - obs : `~gammalib.GObservations`
39   - Observation container
40   - ra : float, optional
41   - Right Ascension of Region of Interest centre (deg)
42   - dec : float, optional
43   - Declination of Region of Interest centre (deg)
44   - rad : float, optional
45   - Radius of Region of Interest (deg)
46   - emin : float, optional
47   - Minimum energy (TeV)
48   - emax : float, optional
49   - Maximum energy (TeV)
50   - tmin : float, optional
51   - Start time (s)
52   - tmax : float, optional
53   - Stop time (s)
54   - debug : bool, optional
55   - Debug function
56   - """
57   - # Simulate events
58   - sim = ctools.ctobssim(obs)
59   - sim['debug'] = debug
60   - sim.run()
61   -
62   - # Select events
63   - select = ctools.ctselect(sim.obs())
64   - select['ra'] = ra
65   - select['dec'] = dec
66   - select['rad'] = rad
67   - select['emin'] = emin
68   - select['emax'] = emax
69   - select['tmin'] = tmin
70   - select['tmax'] = tmax
71   - select['debug'] = debug
72   - select.run()
73   -
74   - # Perform maximum likelihood fitting
75   - like = ctools.ctlike(select.obs())
76   - like['debug'] = True # Switch this always on for results in console
77   - like.run()
78   -
79   - # Return
80   - return
81   -
82   -
83   -# =============================== #
84   -# Run unbinned in-memory pipeline #
85   -# =============================== #
86   -def pipeline_unbinned_mem():
87   - """
88   - Run unbinned in-memory pipeline
89   - """
90   - # Set usage string
91   - usage = 'pipeline_unbinned_mem.py [-d datadir]'
92   -
93   - # Set default options
94   - options = [{'option': '-d', 'value': 'data'}]
95   -
96   - # Get arguments and options from command line arguments
97   - _, options = cscripts.ioutils.get_args_options(options, usage)
98   -
99   - # Extract script parameters from options
100   - datadir = options[0]['value']
101   -
102   - # Setup observations
103   - obs = cscripts.obsutils.set_observations(83.63, 22.01, 5.0, 0.0, 180.0,
104   - 0.1, 100.0, 'South_0.5h', 'prod2',
105   - pattern='four', offset=1.5)
106   -
107   - # Setup model
108   - obs.models(gammalib.GModels(datadir+'/crab.xml'))
109   -
110   - # Run analysis pipeline
111   - run_pipeline(obs)
112   -
113   - # Return
114   - return
115   -
116   -
117   -# ======================== #
118   -# Main routine entry point #
119   -# ======================== #
120   -if __name__ == '__main__':
121   -
122   - # Run unbinned in-memory pipeline
123   - pipeline_unbinned_mem()
test/data/bkg_dummy.txt deleted
View file @4cf2e59
1   -19952.6231497 0.00758611874475
2   -31622.7766017 0.0453646736765
3   -50118.7233627 0.0434482007416
4   -79432.8234724 0.0178479909838
5   -125892.541179 0.00670562887729
6   -199526.231497 0.00084045162152
7   -316227.766017 0.000323808025007
8   -501187.233627 9.59822836926e-05
9   -794328.234724 6.37799870129e-05
10   -1258925.41179 1.03541320942e-05
11   -1995262.31497 1.64149835388e-05
12   -3162277.66017 3.15232118872e-06
13   -5011872.33627 2.15432019088e-06
14   -7943282.34724 6.16894263439e-07
15   -12589254.1179 8.04369168326e-07
16   -19952623.1497 3.8166590852e-07
17   -31622776.6017 3.00652101748e-07
18   -50118723.3627 3.33564542808e-07
19   -79432823.4724 1.02704085801e-07
20   -125892541.179 2.78291918566e-08
21   -199526231.497 8.18076720102e-09
test/data/crab_events.fits.gz
View file @1691ebb
No preview for this file type
test/data/disk.xml deleted
View file @4cf2e59
1   -<?xml version="1.0" standalone="no"?>
2   -<source_library title="source library">
3   - <source name="CrabDisk" type="ExtendedSource">
4   - <spectrum type="PowerLaw">
5   - <parameter name="Prefactor" scale="1e-16" value="5.7" min="1e-07" max="1000.0" free="1"/>
6   - <parameter name="Index" scale="-1" value="2.48" min="0.0" max="+5.0" free="1"/>
7   - <parameter name="PivotEnergy" scale="1e6" value="0.3" min="0.01" max="1000.0" free="0"/>
8   - </spectrum>
9   - <spatialModel type="RadialDisk">
10   - <parameter name="RA" scale="1.0" value="83.6331" min="-360" max="360" free="1"/>
11   - <parameter name="DEC" scale="1.0" value="22.0145" min="-90" max="90" free="1"/>
12   - <parameter name="Radius" scale="1.0" value="0.45" min="0.01" max="10" free="1"/>
13   - </spatialModel>
14   - </source>
15   - <source name="Background" type="RadialAcceptance" instrument="CTA">
16   - <spectrum type="PowerLaw">
17   - <parameter name="Prefactor" scale="1e-6" value="61.8" min="0.0" max="1000.0" free="1"/>
18   - <parameter name="Index" scale="-1" value="1.85" min="0.0" max="+5.0" free="1"/>
19   - <parameter name="PivotEnergy" scale="1e6" value="1.0" min="0.01" max="1000.0" free="0"/>
20   - </spectrum>
21   - <radialModel type="Gaussian">
22   - <parameter name="Sigma" scale="1.0" value="3.0" min="0.01" max="10.0" free="1"/>
23   - </radialModel>
24   - </source>
25   -</source_library>
test/data/gauss.xml deleted
View file @4cf2e59
1   -<?xml version="1.0" standalone="no"?>
2   -<source_library title="source library">
3   - <source name="CrabGauss" type="ExtendedSource">
4   - <spectrum type="PowerLaw">
5   - <parameter name="Prefactor" scale="1e-16" value="5.7" min="1e-07" max="1000.0" free="1"/>
6   - <parameter name="Index" scale="-1" value="2.48" min="0.0" max="+5.0" free="1"/>
7   - <parameter name="PivotEnergy" scale="1e6" value="0.3" min="0.01" max="1000.0" free="0"/>
8   - </spectrum>
9   - <spatialModel type="RadialGaussian">
10   - <parameter name="RA" scale="1.0" value="83.6331" min="-360" max="360" free="1"/>
11   - <parameter name="DEC" scale="1.0" value="22.0145" min="-90" max="90" free="1"/>
12   - <parameter name="Sigma" scale="1.0" value="0.20" min="0.01" max="10" free="1"/>
13   - </spatialModel>
14   - </source>
15   - <source name="Background" type="RadialAcceptance" instrument="CTA">
16   - <spectrum type="PowerLaw">
17   - <parameter name="Prefactor" scale="1e-6" value="61.8" min="0.0" max="1000.0" free="1"/>
18   - <parameter name="Index" scale="-1" value="1.85" min="0.0" max="+5.0" free="1"/>
19   - <parameter name="PivotEnergy" scale="1e6" value="1.0" min="0.01" max="1000.0" free="0"/>
20   - </spectrum>
21   - <radialModel type="Gaussian">
22   - <parameter name="Sigma" scale="1.0" value="3.0" min="0.01" max="10.0" free="1"/>
23   - </radialModel>
24   - </source>
25   -</source_library>
test/data/obs_stacked_two.xml
  View file @1691ebb
... ... @@ -3,7 +3,7 @@
3 3 <observation name="Crab" id="000001" instrument="CTA">
4 4 <parameter name="Pointing" ra="83.6331" dec="21.0145" />
5 5 <parameter name="EnergyBoundaries" emin="50000" emax="1e+08" />
6   - <parameter name="GoodTimeIntervals" tmin="0" tmax="1800" />
  6 + <parameter name="GoodTimeIntervals" tmin="0" tmax="180" />
7 7 <parameter name="TimeReference" mjdrefi="51544" mjdreff="0.5" timeunit="s" timesys="TT" timeref="LOCAL" />
8 8 <parameter name="RegionOfInterest" ra="83.6331" dec="21.0145" rad="1.5" />
9 9 <parameter name="Deadtime" deadc="0.98" />
... ... @@ -12,7 +12,7 @@
12 12 <observation name="Crab" id="000002" instrument="CTA">
13 13 <parameter name="Pointing" ra="83.6331" dec="23.0145" />
14 14 <parameter name="EnergyBoundaries" emin="70000" emax="1e+08" />
15   - <parameter name="GoodTimeIntervals" tmin="1800" tmax="3600" />
  15 + <parameter name="GoodTimeIntervals" tmin="180" tmax="360" />
16 16 <parameter name="TimeReference" mjdrefi="51544" mjdreff="0.5" timeunit="s" timesys="TT" timeref="LOCAL" />
17 17 <parameter name="RegionOfInterest" ra="83.6331" dec="23.0145" rad="1.5" />
18 18 <parameter name="Deadtime" deadc="0.98" />
... ...
test/data/shell.xml deleted
View file @4cf2e59
1   -<?xml version="1.0" standalone="no"?>
2   -<source_library title="source library">
3   - <source name="CrabShell" type="ExtendedSource">
4   - <spectrum type="PowerLaw">
5   - <parameter name="Prefactor" scale="1e-16" value="5.7" min="1e-07" max="1000.0" free="1"/>
6   - <parameter name="Index" scale="-1" value="2.48" min="0.0" max="+5.0" free="1"/>
7   - <parameter name="PivotEnergy" scale="1e6" value="0.3" min="0.01" max="1000.0" free="0"/>
8   - </spectrum>
9   - <spatialModel type="RadialShell">
10   - <parameter name="RA" scale="1.0" value="83.6331" min="-360" max="360" free="1"/>
11   - <parameter name="DEC" scale="1.0" value="22.0145" min="-90" max="90" free="1"/>
12   - <parameter name="Radius" scale="1.0" value="0.30" min="0.01" max="10" free="1"/>
13   - <parameter name="Width" scale="1.0" value="0.10" min="0.01" max="10" free="1"/>
14   - </spatialModel>
15   - </source>
16   - <source name="Background" type="RadialAcceptance" instrument="CTA">
17   - <spectrum type="PowerLaw">
18   - <parameter name="Prefactor" scale="1e-6" value="61.8" min="0.0" max="1000.0" free="1"/>
19   - <parameter name="Index" scale="-1" value="1.85" min="0.0" max="+5.0" free="1"/>
20   - <parameter name="PivotEnergy" scale="1e6" value="1.0" min="0.01" max="1000.0" free="0"/>
21   - </spectrum>
22   - <radialModel type="Gaussian">
23   - <parameter name="Sigma" scale="1.0" value="3.0" min="0.01" max="10.0" free="1"/>
24   - </radialModel>
25   - </source>
26   -</source_library>
test/data/source1.xml deleted
View file @4cf2e59
1   -<?xml version="1.0" standalone="no"?>
2   -<source_library title="source library">
3   - <source name="Source1" type="PointSource">
4   - <spectrum type="PowerLaw">
5   - <parameter scale="1e-07" name="Prefactor" min="1e-07" max="1000.0" value="1.0" free="1"/>
6   - <parameter scale="1.0" name="Index" min="-5.0" max="+5.0" value="-2.1" free="1"/>
7   - <parameter scale="1.0" name="PivotEnergy" min="10.0" max="1000000.0" value="100.0" free="0"/>
8   - </spectrum>
9   - <spatialModel type="PointSource">
10   - <parameter free="0" max="360" min="-360" name="RA" scale="1" value="117.0" />
11   - <parameter free="0" max="90" min="-90" name="DEC" scale="1" value="-33.0" />
12   - </spatialModel>
13   - </source>
14   -</source_library>
15   -
test/data/workflow.xml
  View file @1691ebb
... ... @@ -8,12 +8,12 @@
8 8 <parameter name="edisp" value="no" />
9 9 <parameter name="deadc" value="0.98" />
10 10 <parameter name="ra" value="83.63" />
11   - <parameter name="dec" value="22.01" />
  11 + <parameter name="dec" value="22.51" />
12 12 <parameter name="target" value="Crab" />
13 13 <parameter name="emin" value="0.1" />
14 14 <parameter name="emax" value="100.0" />
15 15 <parameter name="tmin" value="0.0" />
16   - <parameter name="tmax" value="1800.0" />
  16 + <parameter name="tmax" value="300.0" />
17 17 <parameter name="chatter" value="2" />
18 18 <parameter name="clobber" value="yes" />
19 19 <parameter name="debug" value="no" />
... ... @@ -31,7 +31,7 @@
31 31 <parameter name="seed" value="1" />
32 32 <parameter name="ra" value="ra" actor="input" />
33 33 <parameter name="dec" value="dec" actor="input" />
34   - <parameter name="rad" value="5.0" />
  34 + <parameter name="rad" value="3.0" />
35 35 <parameter name="tmin" value="tmin" actor="input" />
36 36 <parameter name="tmax" value="tmax" actor="input" />
37 37 <parameter name="emin" value="emin" actor="input" />
... ... @@ -56,7 +56,7 @@
56 56 <parameter name="usepnt" value="no" />
57 57 <parameter name="ra" value="ra" actor="input" />
58 58 <parameter name="dec" value="dec" actor="input" />
59   - <parameter name="rad" value="3.0" />
  59 + <parameter name="rad" value="2.0" />
60 60 <parameter name="tmin" value="tmin" actor="input" />
61 61 <parameter name="tmax" value="tmax" actor="input" />
62 62 <parameter name="emin" value="emin" actor="input" />
... ...
test/test_cslightcrv.py
  View file @1691ebb
... ... @@ -77,7 +77,7 @@ class Test(test):
77 77 ' inmodel="'+self._model+'" srcname="Crab"'+ \
78 78 ' caldb="'+self._caldb+'" irf="'+self._irf+'"'+ \
79 79 ' tbinalg=LIN '+ \
80   - ' tmin=2020-01-01T00:00:00 tmax=2020-01-01T00:30:00'+ \
  80 + ' tmin=2020-01-01T00:00:00 tmax=2020-01-01T00:05:00'+ \
81 81 ' tbins=3 method=3D enumbins=0 emin=0.1 emax=100.0'+ \
82 82 ' outfile="lightcurve_cmd1.fits"'+ \
83 83 ' logfile="cslightcrv_cmd1.log" chatter=1'
... ... @@ -98,7 +98,7 @@ class Test(test):
98 98 ' inmodel="'+self._model+'" srcname="Crab"'+ \
99 99 ' caldb="'+self._caldb+'" irf="'+self._irf+'"'+ \
100 100 ' tbinalg=LIN '+ \
101   - ' tmin=2020-01-01T00:00:00 tmax=2020-01-01T00:30:00'+ \
  101 + ' tmin=2020-01-01T00:00:00 tmax=2020-01-01T00:05:00'+ \
102 102 ' tbins=3 method=3D enumbins=0 emin=0.1 emax=100.0'+ \
103 103 ' outfile="lightcurve_cmd1.fits"'+ \
104 104 ' logfile="cslightcrv_cmd2.log" debug=yes'
... ... @@ -127,7 +127,7 @@ class Test(test):
127 127 lcrv['irf'] = self._irf
128 128 lcrv['tbinalg'] = 'LIN'
129 129 lcrv['tmin'] = '2020-01-01T00:00:00'
130   - lcrv['tmax'] = '2020-01-01T00:30:00'
  130 + lcrv['tmax'] = '2020-01-01T00:05:00'
131 131 lcrv['tbins'] = 3
132 132 lcrv['method'] = '3D'
133 133 lcrv['enumbins'] = 0
... ... @@ -151,7 +151,7 @@ class Test(test):
151 151 # is saved into the file "lightcurve_py2.dat".
152 152 csv = gammalib.GCsv(2,2)
153 153 tmin = 58849.00
154   - tdelta = 0.0104166
  154 + tdelta = 0.0017361
155 155 for i in range(csv.nrows()):
156 156 csv[i,0] = '%.5f' % (tmin + i * tdelta)
157 157 csv[i,1] = '%.5f' % (tmin + (i+1) * tdelta)
... ... @@ -219,7 +219,7 @@ class Test(test):
219 219 lcrv['irf'] = self._irf
220 220 lcrv['tbinalg'] = 'LIN'
221 221 lcrv['tmin'] = '2020-01-01T00:00:00'
222   - lcrv['tmax'] = '2020-01-01T00:30:00'
  222 + lcrv['tmax'] = '2020-01-01T00:05:00'
223 223 lcrv['tbins'] = 2
224 224 lcrv['method'] = '3D'
225 225 lcrv['emin'] = 0.1
... ... @@ -250,8 +250,8 @@ class Test(test):
250 250 lcrv['caldb'] = self._caldb
251 251 lcrv['irf'] = self._irf
252 252 lcrv['tbinalg'] = 'LIN'
253   - lcrv['tmin'] = 'MJD 58849.0008'
254   - lcrv['tmax'] = 'MJD 58849.0112'
  253 + lcrv['tmin'] = '2020-01-01T00:00:00'
  254 + lcrv['tmax'] = '2020-01-01T00:05:00'
255 255 lcrv['tbins'] = 2
256 256 lcrv['method'] = 'ONOFF'
257 257 lcrv['emin'] = 0.1
... ... @@ -261,6 +261,9 @@ class Test(test):
261 261 lcrv['xref'] = 83.63
262 262 lcrv['yref'] = 22.01
263 263 lcrv['rad'] = 0.2
  264 + lcrv['etruemin'] = 0.05
  265 + lcrv['etruemax'] = 150.0
  266 + lcrv['etruebins'] = 5
264 267 lcrv['statistic'] = 'WSTAT'
265 268 lcrv['outfile'] = 'cslightcrv_py5.fits'
266 269 lcrv['logfile'] = 'cslightcrv_py5.log'
... ...
test/test_csphagen.py
  View file @1691ebb
... ... @@ -49,7 +49,7 @@ class Test(test):
49 49 self._nreg_with_excl = 5
50 50 self._nreg_wo_excl = 8
51 51 self._nreg_mul = [self._nreg_with_excl, 6]
52   - self._nbins = 20
  52 + self._nbins = 10
53 53 # number of expected background regions with/wo exclusion,
54 54 # and for two different runs
55 55  
... ... @@ -84,6 +84,7 @@ class Test(test):
84 84 '" caldb="' + self._caldb + '" irf="' + self._irf + \
85 85 '" ebinalg="LOG" emin=0.1 emax=100. enumbins=' + \
86 86 str(self._nbins) + \
  87 + ' etruemin=0.05 etruemax=150 etruebins=5'+ \
87 88 ' coordsys="CEL" ra=83.633 dec=22.0145' + \
88 89 ' rad=0.2 stack="no" inexclusion="' + \
89 90 self._exclusion + \
... ... @@ -107,6 +108,7 @@ class Test(test):
107 108 'caldb="' + self._caldb + '" irf="' + self._irf + \
108 109 '" ebinalg="LOG" emin=0.1 emax=100. enumbins=' + \
109 110 str(self._nbins) + \
  111 + ' etruemin=0.05 etruemax=150 etruebins=5'+ \
110 112 ' coordsys="CEL" ra=83.633 dec=22.0145' + \
111 113 ' rad=0.2 stack="no" inexclusion="' + \
112 114 self._exclusion + \
... ... @@ -142,6 +144,9 @@ class Test(test):
142 144 phagen['rad'] = 0.2
143 145 phagen['stack'] = False
144 146 phagen['inexclusion'] = self._exclusion
  147 + phagen['etruemin'] = 0.05
  148 + phagen['etruemax'] = 150.0
  149 + phagen['etruebins'] = 5
145 150 phagen['outobs'] = 'csphagen_py1.xml'
146 151 phagen['prefix'] = 'csphagen_py1'
147 152 phagen['logfile'] = 'csphagen_py1.log'
... ... @@ -156,22 +161,25 @@ class Test(test):
156 161  
157 162 # Now test without exclusion region
158 163 phagen = cscripts.csphagen()
159   - phagen['inobs'] = self._myevents1
160   - phagen['caldb'] = self._caldb
161   - phagen['irf'] = self._irf
162   - phagen['ebinalg'] = 'LOG'
163   - phagen['emin'] = 0.1
164   - phagen['emax'] = 100.0
165   - phagen['enumbins'] = self._nbins
166   - phagen['coordsys'] = 'CEL'
167   - phagen['ra'] = 83.633
168   - phagen['dec'] = 22.0145
169   - phagen['rad'] = 0.2
170   - phagen['stack'] = False
171   - phagen['outobs'] = 'csphagen_py2.xml'
172   - phagen['prefix'] = 'csphagen_py2'
173   - phagen['logfile'] = 'csphagen_py2.log'
174   - phagen['chatter'] = 2
  164 + phagen['inobs'] = self._myevents1
  165 + phagen['caldb'] = self._caldb
  166 + phagen['irf'] = self._irf
  167 + phagen['ebinalg'] = 'LOG'
  168 + phagen['emin'] = 0.1
  169 + phagen['emax'] = 100.0
  170 + phagen['enumbins'] = self._nbins
  171 + phagen['coordsys'] = 'CEL'
  172 + phagen['ra'] = 83.633
  173 + phagen['dec'] = 22.0145
  174 + phagen['rad'] = 0.2
  175 + phagen['stack'] = False
  176 + phagen['etruemin'] = 0.05
  177 + phagen['etruemax'] = 150.0
  178 + phagen['etruebins'] = 5
  179 + phagen['outobs'] = 'csphagen_py2.xml'
  180 + phagen['prefix'] = 'csphagen_py2'
  181 + phagen['logfile'] = 'csphagen_py2.log'
  182 + phagen['chatter'] = 2
175 183  
176 184 # Run script
177 185 phagen.execute()
... ... @@ -201,6 +209,9 @@ class Test(test):
201 209 phagen['rad'] = 0.2
202 210 phagen['stack'] = False
203 211 phagen['inexclusion'] = self._exclusion
  212 + phagen['etruemin'] = 0.05
  213 + phagen['etruemax'] = 150.0
  214 + phagen['etruebins'] = 5
204 215 phagen['outobs'] = 'csphagen_py3.xml'
205 216 phagen['prefix'] = 'csphagen_py3'
206 217 phagen['logfile'] = 'csphagen_py3.log'
... ... @@ -228,6 +239,9 @@ class Test(test):
228 239 phagen['rad'] = 0.2
229 240 phagen['stack'] = True
230 241 phagen['inexclusion'] = self._exclusion
  242 + phagen['etruemin'] = 0.05
  243 + phagen['etruemax'] = 150.0
  244 + phagen['etruebins'] = 5
231 245 phagen['outobs'] = 'csphagen_py4.xml'
232 246 phagen['prefix'] = 'csphagen_py4'
233 247 phagen['logfile'] = 'csphagen_py4.log'
... ... @@ -339,7 +353,7 @@ class Test(test):
339 353 # Return
340 354 return
341 355  
342   - def _check_rmf(self, filename, bins, etruebins=102):
  356 + def _check_rmf(self, filename, bins, etruebins=17):
343 357 """
344 358 Check RMF file
345 359 """
... ... @@ -386,7 +400,7 @@ class Test(test):
386 400 # OGIP files
387 401 self._check_pha(filenameroot + '_pha_on.fits', bins)
388 402 self._check_pha(filenameroot + '_pha_off.fits', bins)
389   - self._check_arf(filenameroot + '_arf.fits', 102)
  403 + self._check_arf(filenameroot + '_arf.fits', 17)
390 404 self._check_rmf(filenameroot + '_rmf.fits', bins)
391 405  
392 406 # Optionally check for regions
... ...
test/test_csphasecrv.py
  View file @1691ebb
... ... @@ -45,7 +45,7 @@ class Test(test):
45 45 # Set test data
46 46 self._phased_events = self._datadir + '/phased_events.fits'
47 47 self._offaxis_events = self._datadir + '/crab_offaxis1.fits'
48   - self._model_onoff = self._datadir + '/crab_onoff.xml'
  48 + self._model_onoff = self._datadir + '/crab_onoff.xml'
49 49  
50 50 # Return
51 51 return
... ... @@ -258,6 +258,9 @@ class Test(test):
258 258 pcrv['xref'] = 83.63
259 259 pcrv['yref'] = 22.01
260 260 pcrv['rad'] = 0.2
  261 + pcrv['etruemin'] = 0.05
  262 + pcrv['etruemax'] = 150.0
  263 + pcrv['etruebins'] = 5
261 264 pcrv['outfile'] = 'csphasecrv_py5.fits'
262 265 pcrv['logfile'] = 'csphasecrv_py5.log'
263 266 pcrv['chatter'] = 4
... ...
test/test_cssens.py
  View file @1691ebb
... ... @@ -72,7 +72,7 @@ class Test(test):
72 72 cmd = cssens+' inmodel="'+self._model+'"'+ \
73 73 ' srcname="Crab"'+ \
74 74 ' caldb="'+self._caldb+'" irf="'+self._irf+'"'+ \
75   - ' duration=1800.0 rad=3.0 emin=1.0 emax=10.0 bins=1'+ \
  75 + ' duration=180.0 rad=3.0 emin=1.0 emax=10.0 bins=1'+ \
76 76 ' outfile="cssens_cmd1.dat"'+ \
77 77 ' logfile="cssens_cmd1.log" chatter=1'
78 78  
... ... @@ -91,7 +91,7 @@ class Test(test):
91 91 cmd = cssens+' inmodel="model_that_does_not_exist.xml"'+ \
92 92 ' srcname="Crab"'+ \
93 93 ' caldb="'+self._caldb+'" irf="'+self._irf+'"'+ \
94   - ' duration=1800.0 rad=3.0 emin=1.0 emax=10.0 bins=1'+ \
  94 + ' duration=180.0 rad=3.0 emin=1.0 emax=10.0 bins=1'+ \
95 95 ' outfile="cssens_cmd2.dat"'+ \
96 96 ' logfile="cssens_cmd2.log" debug=yes chatter=2'
97 97  
... ... @@ -118,7 +118,7 @@ class Test(test):
118 118 sens['caldb'] = self._caldb
119 119 sens['irf'] = self._irf
120 120 sens['outfile'] = 'cssens_py1.dat'
121   - sens['duration'] = 1800.0
  121 + sens['duration'] = 180.0
122 122 sens['rad'] = 3.0
123 123 sens['emin'] = 1.0
124 124 sens['emax'] = 10.0
... ... @@ -142,7 +142,7 @@ class Test(test):
142 142 sens['caldb'] = self._caldb
143 143 sens['irf'] = self._irf
144 144 sens['outfile'] = 'cssens_py2.dat'
145   - sens['duration'] = 1800.0
  145 + sens['duration'] = 180.0
146 146 sens['rad'] = 3.0
147 147 sens['emin'] = 1.0
148 148 sens['emax'] = 10.0
... ...
test/test_csworkflow.py
  View file @1691ebb
... ... @@ -144,13 +144,17 @@ class Test(test):
144 144  
145 145 # Check fit result values
146 146 self.test_value(models['Crab'][2].value(),
147   - 5.71055e-16, 1.0e-5, 'Crab prefactor')
  147 + 5.65431687851392e-16, 1.0e-4 * 5.65431687851392e-16,
  148 + 'Check Crab prefactor')
148 149 self.test_value(models['Crab'][3].value(),
149   - -2.46174095362681, 1.0e-5, 'Crab index')
  150 + -2.45753747320273, 1.0e-4 * 2.45753747320273,
  151 + 'Check Crab index')
150 152 self.test_value(models['CTABackgroundModel'][0].value(),
151   - 1.01831847752743, 1.0e-5, 'Background model prefactor')
  153 + 1.0444753409474, 1.0e-4 * 1.0444753409474,
  154 + 'Check background model prefactor')
152 155 self.test_value(models['CTABackgroundModel'][1].value(),
153   - 0.00742512418279459, 1.0e-5, 'Background model index')
  156 + 0.0126628793551562, 1.0e-4 * 0.0126628793551562,
  157 + 'Check background model index')
154 158  
155 159 # Return
156 160 return
... ...
test/test_ctbin.py
  View file @1691ebb
... ... @@ -87,7 +87,7 @@ class Test(test):
87 87  
88 88 # Load counts cube and check content.
89 89 evt = gammalib.GCTAEventCube('cntmap_cmd1.fits')
90   - self._check_cube(evt, 18483)
  90 + self._check_cube(evt, 3105)
91 91  
92 92 # Setup ctbin command
93 93 cmd = ctbin+' inobs="events_that_do_not_exist.fits"'+ \
... ... @@ -115,7 +115,7 @@ class Test(test):
115 115  
116 116 # Load counts cube and check content.
117 117 evt = gammalib.GCTAEventCube('cntmap_cmd3.fits')
118   - self._check_cube(evt, 3689)
  118 + self._check_cube(evt, 617)
119 119  
120 120 # Check ctbin --help
121 121 self._check_help(ctbin)
... ... @@ -174,15 +174,15 @@ class Test(test):
174 174 binning.run()
175 175  
176 176 # Check content of observation container and counts cube
177   - self._check_observation(binning, 18483)
178   - self._check_cube(binning.cube(), 18483)
  177 + self._check_observation(binning, 3105)
  178 + self._check_cube(binning.cube(), 3105)
179 179  
180 180 # Copy ctbin tool
181 181 cpy_bin = binning.copy()
182 182  
183 183 # Check content of observation container and counts cube
184   - self._check_observation(cpy_bin, 18483)
185   - self._check_cube(cpy_bin.cube(), 18483)
  184 + self._check_observation(cpy_bin, 3105)
  185 + self._check_cube(cpy_bin.cube(), 3105)
186 186  
187 187 # Run copy of ctbin tool again
188 188 cpy_bin['logfile'] = 'ctbin_py2.log'
... ... @@ -201,7 +201,7 @@ class Test(test):
201 201  
202 202 # Load counts cube and check content
203 203 evt = gammalib.GCTAEventCube('ctbin_py1.fits')
204   - self._check_cube(evt, 18483)
  204 + self._check_cube(evt, 3105)
205 205  
206 206 # Now clear ctbin tool
207 207 binning.clear()
... ... @@ -241,12 +241,12 @@ class Test(test):
241 241  
242 242 # Check content of observation and cube (need multiplier=3 since
243 243 # three identical observations have been appended)
244   - self._check_observation(binning, 18483, multiplier=3)
245   - self._check_cube(binning.cube(), 18483, multiplier=3)
  244 + self._check_observation(binning, 3105, multiplier=3)
  245 + self._check_cube(binning.cube(), 3105, multiplier=3)
246 246  
247 247 # Load counts cube and check content.
248 248 evt = gammalib.GCTAEventCube('ctbin_py3.fits')
249   - self._check_cube(evt, 18483, multiplier=3)
  249 + self._check_cube(evt, 3105, multiplier=3)
250 250  
251 251 # And finally go for a fully Pythonic version with all parameters
252 252 # being specified in a dictionary
... ... @@ -262,7 +262,7 @@ class Test(test):
262 262  
263 263 # Load counts cube and check content
264 264 evt = gammalib.GCTAEventCube('ctbin_py4.fits')
265   - self._check_cube(evt, 18483)
  265 + self._check_cube(evt, 3105)
266 266  
267 267 # Return
268 268 return
... ... @@ -288,9 +288,9 @@ class Test(test):
288 288 'Check that there is one observation on the observation container')
289 289 self.test_value(obs.instrument(), 'CTA',
290 290 'Check that the one observation is a CTA observation')
291   - self.test_value(obs.ontime(), 1800.0*multiplier, 1.0e-6,
  291 + self.test_value(obs.ontime(), 300.0*multiplier, 1.0e-6,
292 292 'Check ontime of observation')
293   - self.test_value(obs.livetime(), 1764.0*multiplier, 1.0e-6,
  293 + self.test_value(obs.livetime(), 294.0*multiplier, 1.0e-6,
294 294 'Check livetime of observation')
295 295 self.test_value(pnt.dir().ra_deg(), 83.63, 1.0e-6,
296 296 'Check pointing Right Ascension of observation')
... ...
test/test_cterror.py
  View file @1691ebb
... ... @@ -264,28 +264,28 @@ class Test(test):
264 264 # If there are models in the container then check them
265 265 if nmodels > 0:
266 266 self.test_value(models['Crab']['Prefactor'].value(),
267   - 5.767533e-16, 1.0e-4 * 5.767533e-16,
  267 + 5.6530206356786e-16, 1.0e-4 * 5.6530206356786e-16,
268 268 'Check fitted Crab Prefactor')
269 269 self.test_value(models['Crab']['Prefactor'].error(),
270   - 1.011887e-17, 1.0e-4 * 1.011887e-17,
  270 + 2.45970361827369e-17, 1.0e-3 * 2.45970361827369e-17,
271 271 'Check Crab Prefactor error')
272 272 self.test_value(models['Crab']['Index'].value(),
273   - -2.462279, 1.0e-4 * 2.462279,
  273 + -2.45716228083265, 1.0e-4 * 2.45716228083265,
274 274 'Check fitted Crab Index')
275 275 self.test_value(models['Crab']['Index'].error(),
276   - 0.0148518, 1.0e-4 * 0.0148518,
  276 + 0.0366617454398694, 1.0e-3 * 0.0366617454398694,
277 277 'Check Crab Index error')
278 278 self.test_value(models['CTABackgroundModel']['Prefactor'].value(),
279   - 1.0197698, 1.0e-4 * 1.0197698,
  279 + 1.01525433446138, 1.0e-4 * 1.01525433446138,
280 280 'Check fitted background Prefactor')
281 281 self.test_value(models['CTABackgroundModel']['Prefactor'].error(),
282   - 0.013578, 1.0e-4 * 0.013578,
  282 + 0.0334412516391298, 1.0e-4 * 0.0334412516391298,
283 283 'Check background Prefactor error')
284 284 self.test_value(models['CTABackgroundModel']['Index'].value(),
285   - 0.00836407, 1.0e-4 * 0.00836407,
  285 + -0.005132848897274, 1.0e-3 * 0.005132848897274,
286 286 'Check fitted background Index')
287 287 self.test_value(models['CTABackgroundModel']['Index'].error(),
288   - 0.00811674, 1.0e-4 * 0.00811674,
  288 + 0.0200624490548333, 1.0e-4 * 0.0200624490548333,
289 289 'Check background Index error')
290 290  
291 291 # Return
... ...
test/test_ctlike.py
  View file @1691ebb
... ... @@ -254,28 +254,28 @@ class Test(test):
254 254 # If there are models in the container then check them
255 255 if nmodels > 0:
256 256 self.test_value(models['Crab']['Prefactor'].value(),
257   - 5.767533e-16, 1.0e-4 * 5.767533e-16,
  257 + 5.6530206356786e-16, 1.0e-4 * 5.6530206356786e-16,
258 258 'Check fitted Crab Prefactor')
259 259 self.test_value(models['Crab']['Prefactor'].error(),
260   - 1.018351e-17, 1.0e-4 * 1.018351e-17,
  260 + 2.48304276536022e-17, 1.0e-4 * 2.48304276536022e-17,
261 261 'Check Crab Prefactor error')
262 262 self.test_value(models['Crab']['Index'].value(),
263   - -2.462279, 1.0e-4 * 2.462279,
  263 + -2.45716228083265, 1.0e-4 * 2.45716228083265,
264 264 'Check fitted Crab Index')
265 265 self.test_value(models['Crab']['Index'].error(),
266   - 0.0151608, 1.0e-4 * 0.0151608,
  266 + 0.0386777873333435, 1.0e-4 * 0.0386777873333435,
267 267 'Check Crab Index error')
268 268 self.test_value(models['CTABackgroundModel']['Prefactor'].value(),
269   - 1.0197698, 1.0e-4 * 1.0197698,
  269 + 1.01525433446138, 1.0e-4 * 1.01525433446138,
270 270 'Check fitted background Prefactor')
271 271 self.test_value(models['CTABackgroundModel']['Prefactor'].error(),
272   - 0.013578, 1.0e-4 * 0.013578,
  272 + 0.0334412516391298, 1.0e-4 * 0.0334412516391298,
273 273 'Check background Prefactor error')
274 274 self.test_value(models['CTABackgroundModel']['Index'].value(),
275   - 0.00836407, 1.0e-4 * 0.00836407,
  275 + -0.005132848897274, 1.0e-3 * 0.005132848897274,
276 276 'Check fitted background Index')
277 277 self.test_value(models['CTABackgroundModel']['Index'].error(),
278   - 0.00811674, 1.0e-4 * 0.00811674,
  278 + 0.0200624490548333, 1.0e-4 * 0.0200624490548333,
279 279 'Check background Index error')
280 280  
281 281 # Return
... ...
test/test_ctobssim.py
  View file @1691ebb
... ... @@ -74,9 +74,9 @@ class Test(test):
74 74 cmd = ctobssim+' inmodel="'+self._model+'" '+ \
75 75 ' outevents="ctobssim_cmd1.fits"'+ \
76 76 ' caldb="'+self._caldb+'" irf="'+self._irf+'" '+ \
77   - ' ra=83.63 dec=22.01 rad=10.0'+ \
  77 + ' ra=83.63 dec=22.01 rad=3.0'+ \
78 78 ' tmin="2020-01-01T00:00:00"'+ \
79   - ' tmax="2020-01-01T00:30:00"'+ \
  79 + ' tmax="2020-01-01T00:05:00"'+ \
80 80 ' emin=0.1 emax=100.0'+ \
81 81 ' logfile="ctobssim_cmd1.log" chatter=1'
82 82  
... ... @@ -90,15 +90,15 @@ class Test(test):
90 90  
91 91 # Load counts cube and check content.
92 92 evt = gammalib.GCTAEventList('ctobssim_cmd1.fits')
93   - self._test_list(evt, 23822)
  93 + self._test_list(evt, 3776)
94 94  
95 95 # Setup ctobssim command
96 96 cmd = ctobssim+' inmodel="model_that_does_not_exist.xml"'+ \
97 97 ' outevents="ctobssim_cmd2.fits"'+ \
98 98 ' caldb="'+self._caldb+'" irf="'+self._irf+'" '+ \
99   - ' ra=83.63 dec=22.01 rad=10.0'+ \
  99 + ' ra=83.63 dec=22.01 rad=3.0'+ \
100 100 ' tmin="2020-01-01T00:00:00"'+ \
101   - ' tmax="2020-01-01T00:30:00"'+ \
  101 + ' tmax="2020-01-01T00:05:00"'+ \
102 102 ' emin=0.1 emax=100.0'+ \
103 103 ' logfile="ctobssim_cmd2.log" debug=yes chatter=1'
104 104  
... ... @@ -141,9 +141,9 @@ class Test(test):
141 141 sim['irf'] = self._irf
142 142 sim['ra'] = 83.63
143 143 sim['dec'] = 22.01
144   - sim['rad'] = 10.0
  144 + sim['rad'] = 3.0
145 145 sim['tmin'] = '2020-01-01T00:00:00'
146   - sim['tmax'] = '2020-01-01T00:30:00'
  146 + sim['tmax'] = '2020-01-01T00:05:00'
147 147 sim['emin'] = 0.1
148 148 sim['emax'] = 100.0
149 149 sim['outevents'] = 'ctobssim_py1.fits'
... ... @@ -156,33 +156,52 @@ class Test(test):
156 156  
157 157 # Check content of observation
158 158 self._test_observation(sim)
159   - self._test_list(sim.obs()[0].events(), 23822)
  159 + self._test_list(sim.obs()[0].events(), 3776)
160 160  
161 161 # Save events
162 162 sim.save()
163 163  
164 164 # Load counts cube and check content.
165 165 evt = gammalib.GCTAEventList('ctobssim_py1.fits')
166   - self._test_list(evt, 23822)
  166 + self._test_list(evt, 3776)
  167 +
  168 + # Copy ctobssim tool
  169 + cpy_sim = sim.copy()
  170 +
  171 + # Retrieve observation and check content of copy
  172 + self._test_observation(cpy_sim)
  173 + self._test_list(cpy_sim.obs()[0].events(), 3776)
  174 +
  175 + # Execute copy of ctobssim tool again, now with a higher chatter
  176 + # level than before
  177 + cpy_sim['outevents'] = 'ctobssim_py2.fits'
  178 + cpy_sim['logfile'] = 'ctobssim_py2.log'
  179 + cpy_sim['chatter'] = 3
  180 + cpy_sim['publish'] = True
  181 + cpy_sim.logFileOpen() # Needed to get a new log file
  182 + cpy_sim.execute()
  183 +
  184 + # Load counts cube and check content.
  185 + evt = gammalib.GCTAEventList('ctobssim_py2.fits')
  186 + self._test_list(evt, 3776)
167 187  
168 188 # Set-up observation container
169 189 pnts = [{'ra': 83.63, 'dec': 21.01},
170   - {'ra': 84.63, 'dec': 22.01},
171   - {'ra': 83.63, 'dec': 23.01},
172   - {'ra': 82.63, 'dec': 22.01}]
173   - obs = obsutils.set_obs_list(pnts, caldb=self._caldb, irf=self._irf)
  190 + {'ra': 84.63, 'dec': 22.01}]
  191 + obs = obsutils.set_obs_list(pnts, caldb=self._caldb, irf=self._irf,
  192 + duration=300.0, rad=3.0)
174 193  
175 194 # Set-up ctobssim tool from observation container
176 195 sim = ctools.ctobssim(obs)
177 196 sim['inmodel'] = self._model
178   - sim['outevents'] = 'ctobssim_py2.xml'
179   - sim['logfile'] = 'ctobssim_py2.log'
  197 + sim['outevents'] = 'ctobssim_py3.xml'
  198 + sim['logfile'] = 'ctobssim_py3.log'
180 199 sim['chatter'] = 3
181 200  
182 201 # Double maximum event range
183 202 max_rate = sim.max_rate()
184   - sim.max_rate(2*max_rate)
185   - self.test_value(sim.max_rate(), 2*max_rate, 1.0e-3,
  203 + sim.max_rate(2.0*max_rate)
  204 + self.test_value(sim.max_rate(), 2.0*max_rate, 1.0e-3,
186 205 'Check setting of maximum event rate')
187 206  
188 207 # Run ctobssim tool
... ... @@ -190,57 +209,27 @@ class Test(test):
190 209 sim.run()
191 210  
192 211 # Retrieve observation and check content
193   - self._test_observation(sim, nobs=4, pnts=pnts)
194   - self._test_list(sim.obs()[0].events(), 22904)
195   - self._test_list(sim.obs()[1].events(), 23130)
196   - self._test_list(sim.obs()[2].events(), 22672)
197   - self._test_list(sim.obs()[3].events(), 22549)
  212 + self._test_observation(sim, nobs=2, pnts=pnts)
  213 + self._test_list(sim.obs()[0].events(), 3569)
  214 + self._test_list(sim.obs()[1].events(), 3515)
198 215  
199 216 # Save events
200 217 sim.save()
201 218  
202 219 # Load events
203   - obs = gammalib.GObservations('ctobssim_py2.xml')
  220 + obs = gammalib.GObservations('ctobssim_py3.xml')
204 221  
205 222 # Retrieve observation and check content
206   - self._test_list(obs[0].events(), 22904)
207   - self._test_list(obs[1].events(), 23130)
208   - self._test_list(obs[2].events(), 22672)
209   - self._test_list(obs[3].events(), 22549)
210   -
211   - # Copy ctobssim tool
212   - cpy_sim = sim.copy()
213   -
214   - # Retrieve observation and check content of copy
215   - self._test_observation(cpy_sim, nobs=4, pnts=pnts)
216   - self._test_list(cpy_sim.obs()[0].events(), 22904)
217   - self._test_list(cpy_sim.obs()[1].events(), 23130)
218   - self._test_list(cpy_sim.obs()[2].events(), 22672)
219   - self._test_list(cpy_sim.obs()[3].events(), 22549)
220   -
221   - # Execute copy of ctobssim tool again, now with a higher chatter
222   - # level than before
223   - cpy_sim['outevents'] = 'ctobssim_py3.xml'
224   - cpy_sim['logfile'] = 'ctobssim_py3.log'
225   - cpy_sim['chatter'] = 4
226   - cpy_sim['publish'] = True
227   - cpy_sim.logFileOpen() # Needed to get a new log file
228   - cpy_sim.execute()
229   -
230   - # Check result file
231   - obs = gammalib.GObservations('ctobssim_py3.xml')
232   - self.test_value(obs.size(), 4, 'Check for number of observations')
233   - self._test_list(obs[0].events(), 22904)
234   - self._test_list(obs[1].events(), 23130)
235   - self._test_list(obs[2].events(), 22672)
236   - self._test_list(obs[3].events(), 22549)
  223 + self._test_list(obs[0].events(), 3569)
  224 + self._test_list(obs[1].events(), 3515)
237 225  
238 226 # Return
239 227 return
240 228  
241 229 # Check observation
242 230 def _test_observation(self, obssim, nobs=1,
243   - pnts=[{'ra': 83.63, 'dec': 22.01}]):
  231 + pnts=[{'ra': 83.63, 'dec': 22.01}],
  232 + ontime=300.0, livetime=294.0):
244 233 """
245 234 Test content of an observation
246 235  
... ... @@ -255,20 +244,21 @@ class Test(test):
255 244 """
256 245 # Test observation container
257 246 self.test_value(obssim.obs().size(), nobs,
258   - 'There is one observation')
259   - for i in range(obssim.obs().size()):
260   - obs = gammalib.GCTAObservation(obssim.obs()[i])
261   - pnt = obs.pointing()
  247 + 'Check number of observations')
  248 + for i, obs in enumerate(obssim.obs()):
  249 + pnt = obs.pointing().dir()
  250 + ra = pnts[i]['ra']
  251 + dec = pnts[i]['dec']
262 252 self.test_assert(obs.instrument() == 'CTA',
263   - 'Observation is CTA observation')
264   - self.test_value(obs.ontime(), 1800.0, 1.0e-6,
265   - 'Ontime is 1800 sec')
266   - self.test_value(obs.livetime(), 1764.0, 1.0e-6,
267   - 'Livetime is 1764 sec')
268   - self.test_value(pnt.dir().ra_deg(), pnts[i]['ra'], 1.0e-6,
269   - 'Pointing Right Ascension is '+str(pnts[i]['ra'])+' deg')
270   - self.test_value(pnt.dir().dec_deg(), pnts[i]['dec'], 1.0e-6,
271   - 'Pointing Declination is '+str(pnts[i]['dec'])+' deg')
  253 + 'Check if observation is CTA observation')
  254 + self.test_value(obs.ontime(), ontime, 1.0e-6,
  255 + 'Check if ontime is %f sec' % ontime)
  256 + self.test_value(obs.livetime(), livetime, 1.0e-6,
  257 + 'Check if livetime is %f sec' % livetime)
  258 + self.test_value(pnt.ra_deg(), ra, 1.0e-6,
  259 + 'Check if pointing Right Ascension is %f deg' % ra)
  260 + self.test_value(pnt.dec_deg(), dec, 1.0e-6,
  261 + 'Check if pointing Declination is %f deg' % dec)
272 262  
273 263 # Return
274 264 return
... ...
test/test_ctphase.py
  View file @1691ebb
... ... @@ -252,7 +252,7 @@ class Test(test):
252 252 return
253 253  
254 254 # Check result file
255   - def _check_result_file(self, filename, nevents=22220):
  255 + def _check_result_file(self, filename, nevents=3736):
256 256 """
257 257 Check result file
258 258  
... ...
test/test_ctprob.py
  View file @1691ebb
... ... @@ -202,7 +202,7 @@ class Test(test):
202 202 return
203 203  
204 204 # Check result file
205   - def _check_result_file(self, filename, nevents=22220):
  205 + def _check_result_file(self, filename, nevents=3736):
206 206 """
207 207 Check result file
208 208  
... ...
test/test_ctselect.py
  View file @1691ebb
... ... @@ -73,7 +73,7 @@ class Test(test):
73 73 cmd = ctselect+' inobs="'+self._events+'"'+ \
74 74 ' outobs="ctselect_cmd1.fits"'+ \
75 75 ' ra=83.63 dec=22.01 rad=2.0'+ \
76   - ' tmin=2020-01-01T00:08:20 tmax=2020-01-01T00:16:40'+ \
  76 + ' tmin=2020-01-01T00:01:10 tmax=2020-01-01T00:03:40'+ \
77 77 ' emin=0.2 emax=80.0'+ \
78 78 ' logfile="ctselect_cmd1.log" chatter=1'
79 79  
... ... @@ -92,7 +92,7 @@ class Test(test):
92 92 cmd = ctselect+' inobs="event_file_that_does_not_exist.fits"'+ \
93 93 ' outobs="ctselect_cmd2.fits"'+ \
94 94 ' ra=83.63 dec=22.01 rad=2.0'+ \
95   - ' tmin=2020-01-01T00:08:20 tmax=2020-01-01T00:16:40'+ \
  95 + ' tmin=2020-01-01T00:01:10 tmax=2020-01-01T00:03:40'+ \
96 96 ' emin=0.2 emax=80.0'+ \
97 97 ' logfile="ctselect_cmd2.log" debug=yes chatter=1'
98 98  
... ... @@ -133,8 +133,8 @@ class Test(test):
133 133 select['ra'] = 83.63
134 134 select['dec'] = 22.01
135 135 select['rad'] = 2.0
136   - select['tmin'] = '2020-01-01T00:08:20'
137   - select['tmax'] = '2020-01-01T00:16:40'
  136 + select['tmin'] = '2020-01-01T00:01:10'
  137 + select['tmax'] = '2020-01-01T00:03:40'
138 138 select['emin'] = 0.2
139 139 select['emax'] = 80.0
140 140 select['outobs'] = 'ctselect_py1.fits'
... ... @@ -181,7 +181,7 @@ class Test(test):
181 181 # to valid event selections, but since the maximum values are still
182 182 # 'NONE', no event selections should occur.
183 183 cpy_select['usepnt'] = True
184   - cpy_select['tmin'] = '2020-01-01T00:08:20'
  184 + cpy_select['tmin'] = '2020-01-01T00:01:10'
185 185 cpy_select['emin'] = 0.2
186 186 cpy_select['usethres'] = 'USER'
187 187 cpy_select['outobs'] = 'ctselect_py3.fits'
... ... @@ -214,8 +214,8 @@ class Test(test):
214 214 select['ra'] = 83.63
215 215 select['dec'] = 22.01
216 216 select['rad'] = 2.0
217   - select['tmin'] = '2020-01-01T00:08:20'
218   - select['tmax'] = '2020-01-01T00:16:40'
  217 + select['tmin'] = '2020-01-01T00:01:10'
  218 + select['tmax'] = '2020-01-01T00:03:40'
219 219 select['emin'] = 120.0
220 220 select['emax'] = 130.0
221 221 select['expr'] = 'DETX == 0'
... ... @@ -237,8 +237,8 @@ class Test(test):
237 237 select['ra'] = 83.63
238 238 select['dec'] = 22.01
239 239 select['rad'] = 2.0
240   - select['tmin'] = '2020-01-01T00:08:20'
241   - select['tmax'] = '2020-01-01T00:16:40'
  240 + select['tmin'] = '2020-01-01T00:01:10'
  241 + select['tmax'] = '2020-01-01T00:03:40'
242 242 select['emin'] = 0.2
243 243 select['emax'] = 80.0
244 244 select['outobs'] = 'ctselect_py5.fits'
... ... @@ -261,8 +261,8 @@ class Test(test):
261 261 select['ra'] = 83.63
262 262 select['dec'] = 22.01
263 263 select['rad'] = 2.0
264   - select['tmin'] = '2020-01-01T00:08:20'
265   - select['tmax'] = '2020-01-01T00:16:40'
  264 + select['tmin'] = '2020-01-01T00:01:10'
  265 + select['tmax'] = '2020-01-01T00:03:40'
266 266 select['emin'] = 0.2
267 267 select['emax'] = 0.0 # Signals that "emax" should be ignored
268 268 select['outobs'] = 'ctselect_py6.fits'
... ... @@ -282,8 +282,8 @@ class Test(test):
282 282 select['ra'] = 83.63
283 283 select['dec'] = 22.01
284 284 select['rad'] = 2.0
285   - select['tmin'] = '2020-01-01T00:08:20'
286   - select['tmax'] = '2020-01-01T00:16:40'
  285 + select['tmin'] = '2020-01-01T00:01:10'
  286 + select['tmax'] = '2020-01-01T00:03:40'
287 287 select['emin'] = 0.0 # Signals that "emin" should be ignored
288 288 select['emax'] = 80.0
289 289 select['outobs'] = 'ctselect_py7.fits'
... ... @@ -295,7 +295,7 @@ class Test(test):
295 295 select.execute()
296 296  
297 297 # Check result file
298   - self._check_result_file('ctselect_py7.fits', nevents=4709)
  298 + self._check_result_file('ctselect_py7.fits', nevents=1460)
299 299  
300 300 # Now set "emin > emax"
301 301 select['emin'] = 150.0
... ... @@ -319,8 +319,8 @@ class Test(test):
319 319 select['ra'] = 83.63
320 320 select['dec'] = 24.01
321 321 select['rad'] = 3.0
322   - select['tmin'] = '2020-01-01T00:08:20'
323   - select['tmax'] = '2020-01-01T00:16:40'
  322 + select['tmin'] = '2020-01-01T00:01:10'
  323 + select['tmax'] = '2020-01-01T00:03:40'
324 324 select['emin'] = 0.2
325 325 select['emax'] = 80.0
326 326 select['outobs'] = 'ctselect_py9.fits'
... ... @@ -332,7 +332,7 @@ class Test(test):
332 332 select.execute()
333 333  
334 334 # Check result file
335   - self._check_result_file('ctselect_py9.fits', nevents=781, dec=24.01,
  335 + self._check_result_file('ctselect_py9.fits', nevents=240, dec=24.01,
336 336 rad=1.5)
337 337  
338 338 # Now put the RoI outside the existing RoI. This should leave to
... ... @@ -483,7 +483,7 @@ class Test(test):
483 483 return
484 484  
485 485 # Check result file
486   - def _check_result_file(self, filename, nevents=2307, dec=22.01, rad=2.0):
  486 + def _check_result_file(self, filename, nevents=719, dec=22.01, rad=2.0):
487 487 """
488 488 Check result file
489 489  
... ... @@ -508,7 +508,7 @@ class Test(test):
508 508 return
509 509  
510 510 # Check observation and event list
511   - def _check_obs(self, obs, nobs=1, nevents=2307):
  511 + def _check_obs(self, obs, nobs=1, nevents=719):
512 512 """
513 513 Check observation and event list
514 514  
... ... @@ -533,7 +533,7 @@ class Test(test):
533 533 return
534 534  
535 535 # Check events
536   - def _check_events(self, events, nevents=2307, dec=22.01, rad=2.0):
  536 + def _check_events(self, events, nevents=719, dec=22.01, rad=2.0):
537 537 """
538 538 Check event list
539 539  
... ...
test/test_ctskymap.py
  View file @1691ebb
... ... @@ -68,8 +68,8 @@ class Test(test):
68 68 # Setup ctskymap command
69 69 cmd = ctskymap+' inobs="'+self._events+'"'+\
70 70 ' outmap="ctskymap_cmd1.fits"'+ \
71   - ' emin=0.1 emax=100.0 nxpix=200 nypix=200'+ \
72   - ' binsz=0.02 coordsys="CEL" proj="CAR"'+ \
  71 + ' emin=0.1 emax=100.0 nxpix=20 nypix=20'+ \
  72 + ' binsz=0.2 coordsys="CEL" proj="CAR"'+ \
73 73 ' xref=83.63 yref=22.01 bkgsubtract="NONE"'+ \
74 74 ' logfile="ctskymap_cmd1.log" chatter=1'
75 75  
... ... @@ -87,8 +87,8 @@ class Test(test):
87 87 # Setup ctskymap command
88 88 cmd = ctskymap+' inobs="event_file_that_does_not_exist.fits"'+\
89 89 ' outmap="ctskymap_cmd2.fits"'+ \
90   - ' emin=0.1 emax=100.0 nxpix=200 nypix=200'+ \
91   - ' binsz=0.02 coordsys="CEL" proj="CAR"'+ \
  90 + ' emin=0.1 emax=100.0 nxpix=20 nypix=20'+ \
  91 + ' binsz=0.2 coordsys="CEL" proj="CAR"'+ \
92 92 ' xref=83.63 yref=22.01 bkgsubtract="NONE"'+ \
93 93 ' logfile="ctskymap_cmd2.log" debug=yes chatter=2'
94 94  
... ... @@ -128,9 +128,9 @@ class Test(test):
128 128 skymap['inobs'] = self._events
129 129 skymap['emin'] = 0.1
130 130 skymap['emax'] = 100
131   - skymap['nxpix'] = 200
132   - skymap['nypix'] = 200
133   - skymap['binsz'] = 0.02
  131 + skymap['nxpix'] = 20
  132 + skymap['nypix'] = 20
  133 + skymap['binsz'] = 0.2
134 134 skymap['coordsys'] = 'CEL'
135 135 skymap['proj'] = 'CAR'
136 136 skymap['xref'] = 83.63
... ... @@ -184,9 +184,9 @@ class Test(test):
184 184 skymap = ctools.ctskymap(obs)
185 185 skymap['emin'] = 0.1
186 186 skymap['emax'] = 100
187   - skymap['nxpix'] = 200
188   - skymap['nypix'] = 200
189   - skymap['binsz'] = 0.02
  187 + skymap['nxpix'] = 20
  188 + skymap['nypix'] = 20
  189 + skymap['binsz'] = 0.2
190 190 skymap['coordsys'] = 'GAL'
191 191 skymap['proj'] = 'CAR'
192 192 skymap['xref'] = 184.5575
... ... @@ -214,9 +214,9 @@ class Test(test):
214 214 skymap = ctools.ctskymap(obs)
215 215 skymap['emin'] = 0.1
216 216 skymap['emax'] = 100
217   - skymap['nxpix'] = 200
218   - skymap['nypix'] = 200
219   - skymap['binsz'] = 0.02
  217 + skymap['nxpix'] = 20
  218 + skymap['nypix'] = 20
  219 + skymap['binsz'] = 0.2
220 220 skymap['coordsys'] = 'GAL'
221 221 skymap['proj'] = 'CAR'
222 222 skymap['xref'] = 184.5575
... ... @@ -241,9 +241,9 @@ class Test(test):
241 241 skymap = ctools.ctskymap(obs)
242 242 skymap['emin'] = 0.1
243 243 skymap['emax'] = 100
244   - skymap['nxpix'] = 100 # Make region smaller since the 'RING'
245   - skymap['nypix'] = 100 # method takes longer to run than 'IRF'
246   - skymap['binsz'] = 0.02
  244 + skymap['nxpix'] = 10 # Make region smaller since the 'RING'
  245 + skymap['nypix'] = 10 # method takes longer to run than 'IRF'
  246 + skymap['binsz'] = 0.2
247 247 skymap['coordsys'] = 'CEL'
248 248 skymap['proj'] = 'CAR'
249 249 skymap['xref'] = 83.63
... ... @@ -264,15 +264,15 @@ class Test(test):
264 264 skymap.execute()
265 265  
266 266 # Check result file
267   - self._check_result_file('ctskymap_py5.fits', 100, 100)
268   - self._check_result_file('ctskymap_py5.fits[BACKGROUND]', 100, 100)
269   - self._check_result_file('ctskymap_py5.fits[SIGNIFICANCE]', 100, 100)
  267 + self._check_result_file('ctskymap_py5.fits', 10, 10)
  268 + self._check_result_file('ctskymap_py5.fits[BACKGROUND]', 10, 10)
  269 + self._check_result_file('ctskymap_py5.fits[SIGNIFICANCE]', 10, 10)
270 270  
271 271 # Return
272 272 return
273 273  
274 274 # Check result file
275   - def _check_result_file(self, filename, nx=200, ny=200):
  275 + def _check_result_file(self, filename, nx=20, ny=20):
276 276 """
277 277 Check result file
278 278  
... ... @@ -295,7 +295,7 @@ class Test(test):
295 295 return
296 296  
297 297 # Check sky map
298   - def _check_map(self, skymap, nx=200, ny=200):
  298 + def _check_map(self, skymap, nx=20, ny=20):
299 299 """
300 300 Check sky map
301 301  
... ...
test/test_ctulimit.py
  View file @1691ebb
... ... @@ -143,11 +143,11 @@ class Test(test):
143 143 ulimit.save()
144 144  
145 145 # Check results
146   - self.test_value(ulimit.diff_ulimit(), 3.05020546110845e-17, 1.0e-21,
  146 + self.test_value(ulimit.diff_ulimit(), 3.11978988143113e-17, 1.0e-21,
147 147 'Check differential upper limit')
148   - self.test_value(ulimit.flux_ulimit(), 2.07242046724517e-11, 1.0e-16,
  148 + self.test_value(ulimit.flux_ulimit(), 2.11102478123946e-11, 1.0e-16,
149 149 'Check upper limit on photon flux')
150   - self.test_value(ulimit.eflux_ulimit(), 9.20229587739368e-11, 1.0e-16,
  150 + self.test_value(ulimit.eflux_ulimit(), 9.32520808361777e-11, 1.0e-16,
151 151 'Check upper limit on energy flux')
152 152  
153 153 # Check obs() method
... ... @@ -161,19 +161,19 @@ class Test(test):
161 161 cpy_ulimit = ulimit.copy()
162 162  
163 163 # Check results of copy
164   - self.test_value(cpy_ulimit.diff_ulimit(), 3.05020546110845e-17, 1.0e-21,
  164 + self.test_value(cpy_ulimit.diff_ulimit(), 3.11978988143113e-17, 1.0e-21,
165 165 'Check differential upper limit')
166   - self.test_value(cpy_ulimit.flux_ulimit(), 2.07242046724517e-11, 1.0e-16,
  166 + self.test_value(cpy_ulimit.flux_ulimit(), 2.11102478123946e-11, 1.0e-16,
167 167 'Check upper limit on photon flux')
168   - self.test_value(cpy_ulimit.eflux_ulimit(), 9.20229587739368e-11, 1.0e-16,
  168 + self.test_value(cpy_ulimit.eflux_ulimit(), 9.32520808361777e-11, 1.0e-16,
169 169 'Check upper limit on energy flux')
170 170  
171 171 # Check results
172   - self.test_value(cpy_ulimit.diff_ulimit(), 3.05020546110845e-17, 1.0e-21,
  172 + self.test_value(cpy_ulimit.diff_ulimit(), 3.11978988143113e-17, 1.0e-21,
173 173 'Check differential upper limit')
174   - self.test_value(cpy_ulimit.flux_ulimit(), 2.07242046724517e-11, 1.0e-16,
  174 + self.test_value(cpy_ulimit.flux_ulimit(), 2.11102478123946e-11, 1.0e-16,
175 175 'Check upper limit on photon flux')
176   - self.test_value(cpy_ulimit.eflux_ulimit(), 9.20229587739368e-11, 1.0e-16,
  176 + self.test_value(cpy_ulimit.eflux_ulimit(), 9.32520808361777e-11, 1.0e-16,
177 177 'Check upper limit on energy flux')
178 178  
179 179 # Now clear copy of ctulimit tool
... ... @@ -208,11 +208,11 @@ class Test(test):
208 208 ulimit.execute()
209 209  
210 210 # Check results
211   - self.test_value(ulimit.diff_ulimit(), 3.05020546110845e-17, 1.0e-21,
  211 + self.test_value(ulimit.diff_ulimit(), 3.11978988143113e-17, 1.0e-21,
212 212 'Check differential upper limit')
213   - self.test_value(ulimit.flux_ulimit(), 2.07242046724517e-11, 1.0e-16,
  213 + self.test_value(ulimit.flux_ulimit(), 2.11102478123946e-11, 1.0e-16,
214 214 'Check upper limit on photon flux')
215   - self.test_value(ulimit.eflux_ulimit(), 9.20229587739368e-11, 1.0e-16,
  215 + self.test_value(ulimit.eflux_ulimit(), 9.32520808361777e-11, 1.0e-16,
216 216 'Check upper limit on energy flux')
217 217  
218 218 # Test invalid model name
... ...
test/test_examples.py.in
  View file @1691ebb
... ... @@ -89,26 +89,26 @@ class Test(gammalib.GPythonTestSuite):
89 89 self.name('examples')
90 90  
91 91 # Append tests
92   - self.append(self.test_generate_prod3_irfs,
93   - 'Test generate_prod3_irfs.py')
  92 + #self.append(self.test_generate_prod3_irfs,
  93 + # 'Test generate_prod3_irfs.py')
94 94 self.append(self.test_make_pointings,
95 95 'Test make_pointings.py')
96   - self.append(self.test_make_spectrum,
97   - 'Test make_spectrum.py')
98   - self.append(self.test_make_ts_distributions,
99   - 'Test make_ts_distributions.py')
100   - self.append(self.test_pipeline_binned_disk,
101   - 'Test pipeline_binned_disk.py')
102   - self.append(self.test_pipeline_binned_mem,
103   - 'Test pipeline_binned_mem.py')
104   - self.append(self.test_pipeline_stacked_disk,
105   - 'Test pipeline_stacked_disk.py')
106   - self.append(self.test_pipeline_stacked_mem,
107   - 'Test pipeline_stacked_mem.py')
108   - self.append(self.test_pipeline_unbinned_disk,
109   - 'Test pipeline_unbinned_disk.py')
110   - self.append(self.test_pipeline_unbinned_mem,
111   - 'Test pipeline_unbinned_mem.py')
  96 + #self.append(self.test_make_spectrum,
  97 + # 'Test make_spectrum.py')
  98 + #self.append(self.test_make_ts_distributions,
  99 + # 'Test make_ts_distributions.py')
  100 + #self.append(self.test_pipeline_binned_disk,
  101 + # 'Test pipeline_binned_disk.py')
  102 + #self.append(self.test_pipeline_binned_mem,
  103 + # 'Test pipeline_binned_mem.py')
  104 + #self.append(self.test_pipeline_stacked_disk,
  105 + # 'Test pipeline_stacked_disk.py')
  106 + #self.append(self.test_pipeline_stacked_mem,
  107 + # 'Test pipeline_stacked_mem.py')
  108 + #self.append(self.test_pipeline_unbinned_disk,
  109 + # 'Test pipeline_unbinned_disk.py')
  110 + #self.append(self.test_pipeline_unbinned_mem,
  111 + # 'Test pipeline_unbinned_mem.py')
112 112 self.append(self.test_show_butterfly,
113 113 'Test show_butterfly.py')
114 114 self.append(self.test_show_irf,
... ...
test/test_obsutils.py
  View file @1691ebb
... ... @@ -89,7 +89,7 @@ class Test(test):
89 89 pnt = gammalib.GSkyDir()
90 90 pnt.radec_deg(83.6331, 22.0145)
91 91 obs = gammalib.GObservations()
92   - run = obsutils.set_obs(pnt, duration=100.0, emin=1.0, emax=10.0)
  92 + run = obsutils.set_obs(pnt, duration=20.0, emin=1.0, emax=10.0)
93 93 run.id('0')
94 94 obs.append(run)
95 95 if two:
... ... @@ -113,14 +113,14 @@ class Test(test):
113 113 # Check simulation results
114 114 self.test_value(res.size(), 1, 'Check number of observations')
115 115 self.test_value(res.models().size(), 2, 'Check number of models')
116   - self.test_value(res.nobserved(), 48, 'Check number of observed events')
  116 + self.test_value(res.nobserved(), 6, 'Check number of observed events')
117 117 self.test_value(res.npred(), 0.0, 'Check number of predicted events')
118 118 self.test_value(res[0].eventtype(), 'EventList', 'Check event type')
119 119 self.test_value(res[0].events().ebounds().emin().TeV(), 1.0,
120 120 'Check minimum energy')
121 121 self.test_value(res[0].events().ebounds().emax().TeV(), 10.0,
122 122 'Check minimum energy')
123   - self.test_value(res[0].events().number(), 48,
  123 + self.test_value(res[0].events().number(), 6,
124 124 'Check number of events in list')
125 125  
126 126 # Check energy dispersion flag
... ... @@ -144,7 +144,7 @@ class Test(test):
144 144 # Check simulation results
145 145 self.test_value(res.size(), 1, 'Check number of observations')
146 146 self.test_value(res.models().size(), 2, 'Check number of models')
147   - self.test_value(res.nobserved(), 48, 'Check number of observed events')
  147 + self.test_value(res.nobserved(), 6, 'Check number of observed events')
148 148 self.test_value(res.npred(), 0.0, 'Check number of predicted events')
149 149 self.test_value(res[0].eventtype(), 'CountsCube', 'Check event type')
150 150 self.test_value(res[0].events().ebounds().emin().TeV(), 1.0,
... ... @@ -153,7 +153,7 @@ class Test(test):
153 153 'Check minimum energy')
154 154 self.test_value(res[0].events().ebounds().size(), 5,
155 155 'Check number of energy bins')
156   - self.test_value(res[0].events().number(), 48,
  156 + self.test_value(res[0].events().number(), 6,
157 157 'Check number of events in cube')
158 158  
159 159 # Check energy dispersion flag
... ... @@ -177,7 +177,7 @@ class Test(test):
177 177 # Check simulation results
178 178 self.test_value(res.size(), 1, 'Check number of observations')
179 179 self.test_value(res.models().size(), 2, 'Check number of models')
180   - self.test_value(res.nobserved(), 96, 'Check number of observed events')
  180 + self.test_value(res.nobserved(), 19, 'Check number of observed events')
181 181 self.test_value(res.npred(), 0.0, 'Check number of predicted events')
182 182 self.test_value(res[0].eventtype(), 'CountsCube', 'Check event type')
183 183 self.test_value(res[0].events().ebounds().emin().TeV(), 1.0,
... ... @@ -186,7 +186,7 @@ class Test(test):
186 186 'Check minimum energy')
187 187 self.test_value(res[0].events().ebounds().size(), 5,
188 188 'Check number of energy bins')
189   - self.test_value(res[0].events().number(), 96,
  189 + self.test_value(res[0].events().number(), 19,
190 190 'Check number of events in cube')
191 191  
192 192 # Check energy dispersion flag
... ... @@ -211,7 +211,7 @@ class Test(test):
211 211 # Check simulation results
212 212 self.test_value(res.size(), 1, 'Check number of observations')
213 213 self.test_value(res.models().size(), 2, 'Check number of models')
214   - self.test_value(res.nobserved(), 98, 'Check number of observed events')
  214 + self.test_value(res.nobserved(), 28, 'Check number of observed events')
215 215 self.test_value(res.npred(), 0.0, 'Check number of predicted events')
216 216 self.test_value(res[0].eventtype(), 'CountsCube', 'Check event type')
217 217 self.test_value(res[0].events().ebounds().emin().TeV(), 1.0,
... ... @@ -220,7 +220,7 @@ class Test(test):
220 220 'Check minimum energy')
221 221 self.test_value(res[0].events().ebounds().size(), 5,
222 222 'Check number of energy bins')
223   - self.test_value(res[0].events().number(), 98,
  223 + self.test_value(res[0].events().number(), 28,
224 224 'Check number of events in cube')
225 225  
226 226 # Check energy dispersion flag
... ... @@ -306,7 +306,7 @@ class Test(test):
306 306 # Check simulation results
307 307 self.test_value(res.size(), 1, 'Check number of observations')
308 308 self.test_value(res.models().size(), 2, 'Check number of models')
309   - self.test_value(res.nobserved(), 48, 'Check number of observed events')
  309 + self.test_value(res.nobserved(), 6, 'Check number of observed events')
310 310 self.test_value(res.npred(), 0.0, 'Check number of predicted events')
311 311 self.test_value(res[0].eventtype(), 'EventList', 'Check event type')
312 312 self.test_value(res[0].events().ebounds().emin().TeV(), 1.0,
... ...
test/test_pipelines.py
  View file @1691ebb
... ... @@ -80,7 +80,7 @@ class Test(gammalib.GPythonTestSuite):
80 80 rad_sim = 10.0
81 81 rad_select = 3.0
82 82 tstart = 0.0
83   - tstop = 1800.0
  83 + tstop = 300.0
84 84 emin = 0.1
85 85 emax = 100.0
86 86  
... ... @@ -135,7 +135,7 @@ class Test(gammalib.GPythonTestSuite):
135 135 rad_sim = 10.0
136 136 rad_select = 3.0
137 137 tstart = 0.0
138   - tstop = 1800.0
  138 + tstop = 300.0
139 139 emin = 0.1
140 140 emax = 100.0
141 141  
... ...