PSFKing

class gammapy.irf.PSFKing

Bases: ParametricPSF

King profile analytical PSF depending on energy and offset.

This PSF parametrisation and FITS data format is described here: PSF_KING.

Parameters:

axeslist of MapAxis or MapAxes

Data axes, required are [“energy_true”, “offset”].

metadict

Metadata dictionary.

Attributes Summary

default_interp_kwargs
required_arguments
required_axes
required_parameters
tag

Methods Summary

evaluate_containment(rad, gamma, sigma)	Containment of the PSF at given axes coordinates.
evaluate_direct(rad, gamma, sigma)	Evaluate the PSF model.

Attributes Documentation

default_interp_kwargs = {'bounds_error': False, 'fill_value': None}

required_arguments = ['rad', 'energy_true', 'offset']

required_axes = ['energy_true', 'offset']

required_parameters = ['gamma', 'sigma']

tag = 'psf_king'

Methods Documentation

static evaluate_containment(rad, gamma, sigma)

Containment of the PSF at given axes coordinates.

Parameters:

radQuantity

Rad value.

gammaQuantity

Gamma parameter.

sigmaQuantity

Sigma parameter.

Returns:

containmentndarray

Containment.

static evaluate_direct(rad, gamma, sigma)

Evaluate the PSF model.

Formula is given here: PSF_KING.

Parameters:

radAngle

Offset from PSF center used for evaluating the PSF on a grid.

Returns:

psf_valueQuantity

PSF value.

__init__(axes, data=0, unit='', is_pointlike=False, fov_alignment=FoVAlignment.RADEC, meta=None, interp_kwargs=None)

classmethod __new__(*args, **kwargs)