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Make background models

Gammapy tools to produce background models.

Make cube background models

The gammapy-make-bg-cube-models command line tool can be used to produce background cube models from the data files at a given path location.

For more details, please refer to ~gammapy.scripts.make_bg_cube_models.

Examples

The gammapy-make-bg-cube-models tool has a few options. For a full list of options, please use:

$ gammapy-make-bg-cube-models --help

at the command line.

Command examples:

  • Create background models using a H.E.S.S. or H.E.S.S.-like dataset (can take a few minutes):

    $ gammapy-make-bg-cube-models /path/to/fits/event_lists/base/dir \
                              HESS bg_cube_models

  • Run a quick test using only a few runs:

    $ gammapy-make-bg-cube-models /path/to/fits/event_lists/base/dir \
                              HESS bg_cube_models --test

  • Create background models using the method developped in [Mayer2015] (almost equal to the default case for now):

    $ gammapy-make-bg-cube-models /path/to/fits/event_lists/base/dir \
                              HESS bg_cube_models --a-la-michi

The output files are created in the output directory:

  • bg_observation_table.fits.gz: total observatin table used for the models. The list has been filtered from observations taken at or nearby known sources.
  • bg_observation_table_grouped.fits.gz: observation table grouped according to the selected binning for the background observations.
  • bg_observation_groups.ecsv: table describing the observation groups.
  • bg_cube_model_group<ID>_<format>.fits.gz: files containing the background models for each group ID in 2 different format kinds: table, for data analysis and image for a quick visualization using eg. DS9. The table files contain also a counts (events) and a livetime correction data cubes.

In order to compare 2 sets of background cube models, the following script in the examples directory can be used: plot_bg_cube_model_comparison.py <../../examples/plot_bg_cube_model_comparison.py>

Datasets for testing

In order to test the background model generation tools, real data from existing experiments such as H.E.S.S. can be used. Since the data of current experiments is not public, rudimentary tools to prepare a dummy dataset have been placed in Gammapy: datasets_make_datasets_for_testing.