EnergyDependentTablePSF¶
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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 unitsOffset 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
fromgtpsf
format HDU list.info
()Print basic info integral
(energy, rad_min, rad_max)Containment fraction. kernels
(cube, rad_max, **kwargs)Make a set of 2D kernel images, representing the PSF at different energies. 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
fromgtpsf
-format FITS file.table_psf_at_energy
(energy[, interp_kwargs])Evaluate the EnergyOffsetArray
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
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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
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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
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classmethod
from_fits
(hdu_list)[source]¶ Create
EnergyDependentTablePSF
fromgtpsf
format HDU list.Parameters: hdu_list :
HDUList
HDU list with
THETA
andPSF
extensions.
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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)
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kernels
(cube, rad_max, **kwargs)[source]¶ Make a set of 2D kernel images, representing the PSF at different energies.
The kernel image is evaluated on the spatial and energy grid defined by the reference sky cube.
Parameters: cube :
SkyCube
Reference sky cube.
rad_max `~astropy.coordinates.Angle`
PSF kernel size
kwargs : dict
Keyword arguments passed to
EnergyDependentTablePSF.table_psf_in_energy_band()
.Returns: kernels : list of
ndarray
List of 2D convolution kernels.
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plot_containment_vs_energy
(ax=None, fractions=[0.63, 0.8, 0.95], **kwargs)[source]¶ Plot containment versus energy.
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plot_psf_vs_rad
(energies=[10000.0, 100000.0, 1000000.0])[source]¶ Plot PSF vs radius.
Parameters: TODO
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classmethod
read
(filename)[source]¶ Create
EnergyDependentTablePSF
fromgtpsf
-format FITS file.Parameters: filename : str
File name
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table_psf_at_energy
(energy, interp_kwargs=None, **kwargs)[source]¶ Evaluate the
EnergyOffsetArray
at one given energy.Parameters: energy :
Quantity
Energy
interp_kwargs : dict
Option for interpolation for
RegularGridInterpolator
Returns: table :
Table
Table with two columns: offset, value
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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
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