Difference between revisions of "MC Routines"
From magneticfields
(Created page with "To generate synthetic data, we adopt the fiducial model that the diffuse gamma ray background is isotropic. Here are Tashiro's MC routines in C: Here are Ferrer's MC routin...") |
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Here are Tashiro's MC routines in C: | Here are Tashiro's MC routines in C: | ||
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| + | == Ferrer's MC Python routines == | ||
Here are Ferrer's MC routines in Python: | Here are Ferrer's MC routines in Python: | ||
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| + | The script [[Media:mc.py]] generates 10000 synthetic samples with the same number of events in the real data. The events are uniformly distributed in the spherical caps and do not fall close to a Fermi source. The samples are saved to disk in numpy array format. Their statistics (average and standard deviation is computed using this script [[Media:qstat.py]]. For b>80deg we obtain the following MC samples [[Media:mc80.tar.gz]]. | ||
Revision as of 20:16, 19 May 2014
To generate synthetic data, we adopt the fiducial model that the diffuse gamma ray background is isotropic.
Here are Tashiro's MC routines in C:
Ferrer's MC Python routines
Here are Ferrer's MC routines in Python:
The script Media:mc.py generates 10000 synthetic samples with the same number of events in the real data. The events are uniformly distributed in the spherical caps and do not fall close to a Fermi source. The samples are saved to disk in numpy array format. Their statistics (average and standard deviation is computed using this script Media:qstat.py. For b>80deg we obtain the following MC samples Media:mc80.tar.gz.
