EDispKernelMap

class gammapy.irf.EDispKernelMap(edisp_kernel_map, exposure_map)

Bases: gammapy.irf.irf_map.IRFMap

Energy dispersion kernel map.

Parameters

edisp_kernel_mapMap

The input energy dispersion kernel map. Should be a Map with 2 non spatial axes. Reconstructed and and true energy axes should be given in this specific order.

exposure_mapMap, optional

Associated exposure map. Needs to have a consistent map geometry.

Attributes Summary

edisp_map
tag

Methods Summary

copy()	Copy IRF map
cutout(position, width[, mode])	Cutout IRF map.
downsample(factor[, axis, weights])	Downsample the spatial dimension by a given factor.
from_diagonal_response(energy_axis, …[, geom])	Create an energy dispersion map with diagonal response.
from_edisp_kernel(edisp[, geom])	Create an energy dispersion map from the input 1D kernel.
from_gauss(energy_axis, energy_axis_true, …)	Create an energy dispersion map from the input 1D kernel.
from_geom(geom)	Create edisp map from geom.
from_hdulist(hdulist[, hdu, hdu_bands, …])	Create from HDUList.
get_edisp_kernel([position, energy_axis])	Get energy dispersion at a given position.
read(filename[, hdu])	Read an IRF_map from file and create corresponding object
resample_energy_axis(energy_axis[, weights])	Returns a resampled EdispKernelMap
slice_by_idx(slices)	Slice sub dataset.
stack(other[, weights])	Stack IRF map with another one in place.
to_hdulist()	Convert to HDUList.
to_image([weights])	“Return a 2D EdispKernelMap by summing over the reconstructed energy axis.
write(filename[, overwrite])	Write IRF map to fits

Attributes Documentation

edisp_map

tag = 'edisp_kernel_map'

Methods Documentation

copy()

Copy IRF map

cutout(position, width, mode='trim')

Cutout IRF map.

Parameters

positionSkyCoord

Center position of the cutout region.

widthtuple of Angle

Angular sizes of the region in (lon, lat) in that specific order. If only one value is passed, a square region is extracted.

mode{‘trim’, ‘partial’, ‘strict’}

Mode option for Cutout2D, for details see Cutout2D.

Returns

cutoutIRFMap

Cutout IRF map.

downsample(factor, axis=None, weights=None)

Downsample the spatial dimension by a given factor.

Parameters

factorint

Downsampling factor.

axisstr

Which axis to downsample. By default spatial axes are downsampled.

weightsMap

Map with weights downsampling.

Returns

mapIRFMap

Downsampled irf map.

classmethod from_diagonal_response(energy_axis, energy_axis_true, geom=None)

Create an energy dispersion map with diagonal response.

Parameters

energy_axisMapAxis

Energy axis.

energy_axis_trueMapAxis

True energy axis

geomGeom

The (2D) geom object to use. Default creates an all sky geometry with 2 bins.

Returns

edisp_mapEDispKernelMap

Energy dispersion kernel map.

classmethod from_edisp_kernel(edisp, geom=None)

Create an energy dispersion map from the input 1D kernel.

The kernel will be duplicated over all spatial bins.

Parameters

edispEDispKernel

the input 1D kernel.

geomGeom

The (2D) geom object to use. Default creates an all sky geometry with 2 bins.

Returns

edisp_mapEDispKernelMap

Energy dispersion kernel map.

classmethod from_gauss(energy_axis, energy_axis_true, sigma, bias, pdf_threshold=1e-06, geom=None)

Create an energy dispersion map from the input 1D kernel.

The kernel will be duplicated over all spatial bins.

Parameters

edispEDispKernel

the input 1D kernel.

geomGeom

The (2D) geom object to use. Default creates an all sky geometry with 2 bins.

Returns

edisp_mapEDispKernelMap

Energy dispersion kernel map.

classmethod from_geom(geom)

Create edisp map from geom.

By default a diagonal edisp matrix is created.

Parameters

geomGeom

Edisp map geometry.

Returns

edisp_mapEDispKernelMap

Energy dispersion kernel map.

classmethod from_hdulist(hdulist, hdu=None, hdu_bands=None, exposure_hdu=None, exposure_hdu_bands=None)

Create from HDUList.

Parameters

hdulistHDUList

HDU list.

hdustr

Name or index of the HDU with the IRF map.

hdu_bandsstr

Name or index of the HDU with the IRF map BANDS table.

exposure_hdustr

Name or index of the HDU with the exposure map data.

exposure_hdu_bandsstr

Name or index of the HDU with the exposure map BANDS table.

Returns

irf_mapIRFMap

IRF map.

get_edisp_kernel(position=None, energy_axis=None)

Get energy dispersion at a given position.

Parameters

positionSkyCoord or SkyRegion

The target position. Should be a single coordinates

energy_axisMapAxis

Reconstructed energy axis, only used for checking.

Returns

edispEnergyDispersion

the energy dispersion (i.e. rmf object)

classmethod read(filename, hdu=None)

Read an IRF_map from file and create corresponding object

resample_energy_axis(energy_axis, weights=None)

Returns a resampled EdispKernelMap

Bins are grouped according to the edges of the reconstructed energy axis provided. The true energy is left unchanged.

Parameters

energy_axisMapAxis

The reco energy axis to use for the reco energy grouping

weights: `~gammapy.maps.Map`, optional

Weights to be applied

Returns

edispEDispKernelMap

Edisp kernel map

slice_by_idx(slices)

Slice sub dataset.

The slicing only applies to the maps that define the corresponding axes.

Parameters

slicesdict

Dict of axes names and integers or slice object pairs. Contains one element for each non-spatial dimension. For integer indexing the corresponding axes is dropped from the map. Axes not specified in the dict are kept unchanged.

Returns

map_outIRFMap

Sliced irf map object.

stack(other, weights=None)

Stack IRF map with another one in place.

Parameters

otherIRFMap

IRF map to be stacked with this one.

weightsMap

Map with stacking weights.

to_hdulist()

Convert to HDUList.

Returns

hdu_listHDUList

HDU list.

to_image(weights=None)

“Return a 2D EdispKernelMap by summing over the reconstructed energy axis.

Parameters

weights: `~gammapy.maps.Map`, optional

Weights to be applied

Returns

edispEDispKernelMap

Edisp kernel map

write(filename, overwrite=False, **kwargs)

Write IRF map to fits