SpectrumDatasetMaker

class gammapy.makers.SpectrumDatasetMaker(selection=None, containment_correction=False)

Bases: gammapy.makers.Maker

Make spectrum for a single IACT observation.

The irfs and background are computed at a single fixed offset, which is recommend only for point-sources.

Parameters

selectionlist

List of str, selecting which maps to make. Available: ‘counts’, ‘exposure’, ‘background’, ‘edisp’ By default, all spectra are made.

containment_correctionbool

Apply containment correction for point sources and circular on regions.

Attributes Summary

available_selection
tag

Methods Summary

make_background(geom, observation)	Make background.
make_counts(geom, observation)	Make counts map.
make_edisp_kernel(geom, observation)	Make energy dispersion.
make_exposure(geom, observation)	Make exposure.
make_meta_table(observation)	Make info meta table.
run(dataset, observation)	Make spectrum dataset.

Attributes Documentation

available_selection = ['counts', 'background', 'exposure', 'edisp']

tag = 'SpectrumDatasetMaker'

Methods Documentation

static make_background(geom, observation)

Make background.

Parameters

geomRegionGeom

Reference map geom.

observation: `~gammapy.data.Observation`

Observation to compute effective area for.

Returns

backgroundRegionNDMap

Background spectrum

static make_counts(geom, observation)

Make counts map.

Parameters

geomRegionGeom

Reference map geom.

observationObservation

Observation container.

Returns

countsRegionNDMap

Counts map.

make_edisp_kernel(geom, observation)

Make energy dispersion.

Parameters

geomGeom

Reference geom. Must contain “energy” and “energy_true” axes in that order.

observation: `~gammapy.data.Observation`

Observation to compute edisp for.

Returns

edispEDispKernelMap

Energy dispersion kernel map

make_exposure(geom, observation)

Make exposure.

Parameters

geomRegionGeom

Reference map geom.

observation: `~gammapy.data.Observation`

Observation to compute effective area for.

Returns

exposureEffectiveAreaTable

Exposure map.

static make_meta_table(observation)

Make info meta table.

Parameters

observationObservation

Observation

Returns

meta_table: Table

run(dataset, observation)

Make spectrum dataset.

Parameters

datasetSpectrumDataset

Spectrum dataset.

observation: `~gammapy.data.Observation`

Observation to reduce.

Returns

datasetSpectrumDataset

Spectrum dataset.