Note

You are not reading the most up to date version of Gammapy documentation.
Access the latest stable version v1.3 or the list of Gammapy releases.

EnergyDependentTablePSF

class gammapy.irf.EnergyDependentTablePSF(energy, rad, exposure=None, psf_value=None)[source]

Bases: object

Energy-dependent radially-symmetric table PSF (gtpsf format).

TODO: add references and explanations.

Parameters:

energy : Quantity

Energy (1-dim)

rad : Quantity with angle units

Offset angle wrt source position (1-dim)

exposure : Quantity

Exposure (1-dim)

psf_value : Quantity

PSF (2-dim with axes: psf[energy_index, offset_index]

Methods Summary

containment_radius(energies, fraction[, …]) Containment radius.
evaluate([energy, rad, interp_kwargs]) Evaluate the PSF at a given energy and offset
from_fits(hdu_list) Create EnergyDependentTablePSF from gtpsf format HDU list.
info() Print basic info
integral(energy, rad_min, rad_max) Containment fraction.
plot_containment_vs_energy([ax, fractions]) Plot containment versus energy.
plot_exposure_vs_energy() Plot exposure versus energy.
plot_psf_vs_rad([energies]) Plot PSF vs radius.
read(filename) Create EnergyDependentTablePSF from gtpsf-format FITS file.
table_psf_at_energy(energy[, interp_kwargs]) Create TablePSF at one given energy.
table_psf_in_energy_band(energy_band[, …]) Average PSF in a given energy band.
to_fits() Convert to FITS HDU list format.
write(*args, **kwargs) Write to FITS file.

Methods Documentation

containment_radius(energies, fraction, interp_kwargs=None)[source]

Containment radius.

Parameters:

energies : Quantity

Energy

fraction : float

Containment fraction in %

Returns:

rad : Quantity

Containment radius in deg

evaluate(energy=None, rad=None, interp_kwargs=None)[source]

Evaluate the PSF at a given energy and offset

Parameters:

energy : Quantity

energy value

rad : Angle

Offset wrt source position

interp_kwargs : dict

option for interpolation for RegularGridInterpolator

Returns:

values : Quantity

Interpolated value

classmethod from_fits(hdu_list)[source]

Create EnergyDependentTablePSF from gtpsf format HDU list.

Parameters:

hdu_list : HDUList

HDU list with THETA and PSF extensions.

info()[source]

Print basic info

integral(energy, rad_min, rad_max)[source]

Containment fraction.

Parameters:

energy : Quantity

Energy

rad_min, rad_max : Angle

Offset

Returns:

fraction : array_like

Containment fraction (in range 0 .. 1)

plot_containment_vs_energy(ax=None, fractions=[0.63, 0.8, 0.95], **kwargs)[source]

Plot containment versus energy.

plot_exposure_vs_energy()[source]

Plot exposure versus energy.

plot_psf_vs_rad(energies=[10000.0, 100000.0, 1000000.0])[source]

Plot PSF vs radius.

Parameters:TODO
classmethod read(filename)[source]

Create EnergyDependentTablePSF from gtpsf-format FITS file.

Parameters:

filename : str

File name

table_psf_at_energy(energy, interp_kwargs=None, **kwargs)[source]

Create TablePSF at one given energy.

Parameters:

energy : Quantity

Energy

interp_kwargs : dict

Option for interpolation for RegularGridInterpolator

Returns:

psf : TablePSF

Table PSF

table_psf_in_energy_band(energy_band, spectral_index=2, spectrum=None, **kwargs)[source]

Average PSF in a given energy band.

Expected counts in sub energy bands given the given exposure and spectrum are used as weights.

Parameters:

energy_band : Quantity

Energy band

spectral_index : float

Power law spectral index (used if spectrum=None).

spectrum : callable

Spectrum (callable with energy as parameter).

Returns:

psf : TablePSF

Table PSF

to_fits()[source]

Convert to FITS HDU list format.

Returns:

hdu_list : HDUList

PSF in HDU list format.

write(*args, **kwargs)[source]

Write to FITS file.

Calls writeto, forwarding all arguments.