SpectrumDatasetMaker

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

Bases: gammapy.makers.map.MapDatasetMaker

Make spectrum for a single IACT observation.

The irfs and background are computed at a single fixed offset, which is recommended 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.

background_oversamplingint

Background evaluation oversampling factor in energy.

use_region_centerbool

If True, approximate the IRFs by the value at the center of the region If False, the IRFs are averaged over the entire region

Attributes Summary

available_selection
tag

Methods Summary

make_background(geom, observation)	Make background map.
make_counts(geom, observation)	Make counts map.
make_edisp(geom, observation)	Make energy dispersion map.
make_edisp_kernel(geom, observation)	Make energy dispersion kernel map.
make_exposure(geom, observation)	Make exposure.
make_exposure_irf(geom, observation[, ...])	Make exposure map with irf geometry.
make_meta_table(observation)	Make info meta table.
make_psf(geom, observation)	Make psf map.
run(dataset, observation)	Make map dataset.

Attributes Documentation

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

tag = 'SpectrumDatasetMaker'

Methods Documentation

make_background(geom, observation)

Make background map.

Parameters

geomGeom

Reference geom.

observationObservation

Observation container.

Returns

backgroundMap

Background map.

static make_counts(geom, observation)

Make counts map.

NOTE for 1D analysis: if the Geom is built from a CircleSkyRegion, the latter will be directly used to extract the counts. If instead the Geom is built from a PointSkyRegion, the size of the ON region is taken from the RAD_MAX_2D table containing energy-dependent theta2 cuts.

Parameters

geomGeom

Reference map geom.

observationObservation

Observation container.

Returns

countsMap

Counts map.

make_edisp(geom, observation)

Make energy dispersion map.

Parameters

geomGeom

Reference geom.

observationObservation

Observation container.

Returns

edispEDispMap

Edisp map.

make_edisp_kernel(geom, observation)

Make energy dispersion kernel map.

Parameters

geomGeom

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

observationObservation

Observation container.

Returns

edispEDispKernelMap

EdispKernel map.

make_exposure(geom, observation)

Make exposure.

Parameters

geomRegionGeom

Reference map geom.

observation: `~gammapy.data.Observation`

Observation to compute effective area for.

Returns

exposureRegionNDMap

Exposure map.

static make_exposure_irf(geom, observation, use_region_center=True)

Make exposure map with irf geometry.

Parameters

geomGeom

Reference geom.

observationObservation

Observation container.

Returns

exposureMap

Exposure map.

static make_meta_table(observation)

Make info meta table.

Parameters

observationObservation

Observation

Returns

meta_table: Table

make_psf(geom, observation)

Make psf map.

Parameters

geomGeom

Reference geom.

observationObservation

Observation container.

Returns

psfPSFMap

Psf map.

run(dataset, observation)

Make map dataset.

Parameters

datasetMapDataset

Reference dataset.

observationObservation

Observation

Returns

datasetMapDataset

Map dataset.