PSFKing¶
-
class
gammapy.irf.PSFKing(energy_lo, energy_hi, offset, gamma, sigma, energy_thresh_lo=<Quantity 0.1 TeV>, energy_thresh_hi=<Quantity 100. TeV>)[source]¶ Bases:
objectKing profile analytical PSF depending on energy and offset.
This PSF parametrisation and FITS data format is described here: PSF_KING.
- Parameters
Methods Summary
evaluate(self[, energy, offset])Evaluate analytic PSF parameters at a given energy and offset.
evaluate_direct(r, gamma, sigma)Evaluate the PSF model.
from_table(table)info(self)Print some basic info.
read(filename[, hdu])Create
PSFKingfrom FITS file.to_energy_dependent_table_psf(self[, theta, …])Convert to energy-dependent table PSF.
to_fits(self)Convert PSF table data to FITS HDU list.
write(self, filename, \*args, \*\*kwargs)Write PSF to FITS file.
Methods Documentation
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evaluate(self, energy=None, offset=None)[source]¶ Evaluate analytic PSF parameters at a given energy and offset.
Uses nearest-neighbor interpolation.
-
static
evaluate_direct(r, gamma, sigma)[source]¶ Evaluate the PSF model.
Formula is given here: PSF_KING.
-
classmethod
read(filename, hdu=1)[source]¶ Create
PSFKingfrom FITS file.- Parameters
- filenamestr
File name
-
to_energy_dependent_table_psf(self, theta=None, rad=None, exposure=None)[source]¶ Convert to energy-dependent table PSF.
- Parameters
- Returns
- table_psf
EnergyDependentTablePSF Energy-dependent PSF
- table_psf