PSFKing¶
-
class
gammapy.irf.PSFKing(energy_axis_true, offset_axis, 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
Attributes Summary
Methods Summary
evaluate([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()Print some basic info.
read(filename[, hdu])Create
PSFKingfrom FITS file.to_energy_dependent_table_psf([theta, rad, …])Convert to energy-dependent table PSF.
Convert PSF table data to FITS HDU list.
write(filename, *args, **kwargs)Write PSF to FITS file.
Attributes Documentation
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energy_axis_true¶
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offset_axis¶
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tag= 'psf_king'¶
Methods Documentation
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evaluate(energy=None, offset=None)[source]¶ Evaluate analytic PSF parameters at a given energy and offset.
Uses nearest-neighbor interpolation.
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static
evaluate_direct(r, gamma, sigma)[source]¶ Evaluate the PSF model.
Formula is given here: PSF_KING.
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classmethod
read(filename, hdu=1)[source]¶ Create
PSFKingfrom FITS file.- Parameters
- filenamestr
File name
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to_energy_dependent_table_psf(theta=None, rad=None, exposure=None)[source]¶ Convert to energy-dependent table PSF.
- Parameters
- Returns
- table_psf
EnergyDependentTablePSF Energy-dependent PSF
- table_psf