PSF3D#
- class gammapy.irf.PSF3D(axes, data=0, unit='', is_pointlike=False, fov_alignment=FoVAlignment.RADEC, meta=None, interp_kwargs=None)[source]#
Bases:
gammapy.irf.psf.core.PSF
PSF with axes: energy, offset, rad.
Data format specification: PSF_TABLE
- Parameters
- energy_axis_true
MapAxis
True energy axis.
- offset_axis
MapAxis
Offset axis
- rad_axis
MapAxis
Rad axis
- data
Quantity
PSF (3-dim with axes: psf[rad_index, offset_index, energy_index]
- metadict
Meta dict
- energy_axis_true
Attributes Summary
MapAxes
Alignment of the field of view coordinate axes, see
FoVAlignment
Whether the IRF explicitly depends on offset
Whether the IRF is pointlike of full containment.
Map unit (
Unit
)Methods Summary
containment
(rad, **kwargs)Containment tof the PSF at given axes coordinates
containment_radius
(fraction[, factor])Containment radius at given axes coordinates
cumsum
(axis_name)Compute cumsum along a given axis
evaluate
([method])Evaluate IRF
from_hdulist
(hdulist[, hdu, format])Create from
HDUList
.from_table
(table[, format])Read from
Table
.info
([fraction, energy_true, offset])Print PSF summary info.
integral
(axis_name, **kwargs)Compute integral along a given axis
integrate_log_log
(axis_name, **kwargs)Integrate along a given axis.
interp_missing_data
(axis_name)Interpolate missing data along a given axis
is_allclose
(other[, rtol_axes, atol_axes])Compare two data IRFs for equivalency
Normalise psf
pad
(pad_width, axis_name, **kwargs)Pad irf along a given axis.
peek
([figsize])Quick-look summary plots.
plot_containment_radius
([ax, fraction, add_cbar])Plot containment image with energy and theta axes.
plot_containment_radius_vs_energy
([ax, ...])Plot containment fraction as a function of energy.
plot_psf_vs_rad
([ax, offset, energy_true])Plot PSF vs rad.
read
(filename[, hdu, format])Read from file.
slice_by_idx
(slices)Slice sub IRF from IRF object.
to_hdulist
([format])to_table
([format])Convert to table
to_table_hdu
([format])Convert to
BinTableHDU
.to_unit
(unit)Convert irf to different unit
write
(filename, *args, **kwargs)Write IRF to fits.
Attributes Documentation
- axes#
MapAxes
- data#
- default_interp_kwargs = {'bounds_error': False, 'fill_value': 0.0}#
- default_unit = Unit("1 / sr")#
- fov_alignment#
Alignment of the field of view coordinate axes, see
FoVAlignment
- has_offset_axis#
Whether the IRF explicitly depends on offset
- is_pointlike#
Whether the IRF is pointlike of full containment.
- required_axes = ['energy_true', 'offset', 'rad']#
- tag = 'psf_table'#
Methods Documentation
- containment(rad, **kwargs)#
Containment tof the PSF at given axes coordinates
- containment_radius(fraction, factor=20, **kwargs)#
Containment radius at given axes coordinates
- cumsum(axis_name)#
Compute cumsum along a given axis
- Parameters
- axis_namestr
Along which axis to integrate.
- Returns
- irf
IRF
Cumsum IRF
- irf
- evaluate(method=None, **kwargs)#
Evaluate IRF
- Parameters
- **kwargsdict
Coordinates at which to evaluate the IRF
- methodstr {‘linear’, ‘nearest’}, optional
Interpolation method
- Returns
- array
Quantity
Interpolated values
- array
- classmethod from_hdulist(hdulist, hdu=None, format='gadf-dl3')#
Create from
HDUList
.- Parameters
- hdulist
HDUList
HDU list
- hdustr
HDU name
- format{“gadf-dl3”}
Format specification
- hdulist
- Returns
- irf
IRF
IRF class
- irf
- classmethod from_table(table, format='gadf-dl3')#
Read from
Table
.- Parameters
- table
Table
Table with irf data
- format{“gadf-dl3”}
Format specification
- table
- Returns
- irf
IRF
IRF class.
- irf
- info(fraction=(0.68, 0.95), energy_true=<Quantity [[ 1.], [10.]] TeV>, offset=<Quantity 0. deg>)#
Print PSF summary info.
The containment radius for given fraction, energies and thetas is computed and printed on the command line.
- Parameters
- fractionlist
Containment fraction to compute containment radius for.
- energy_true
Quantity
Energies to compute containment radius for.
- offset
Quantity
Offset to compute containment radius for.
- Returns
- ssstring
Formatted string containing the summary info.
- integral(axis_name, **kwargs)#
Compute integral along a given axis
This method uses interpolation of the cumulative sum.
- Parameters
- axis_namestr
Along which axis to integrate.
- **kwargsdict
Coordinates at which to evaluate the IRF
- Returns
- array
Quantity
Returns 2D array with axes offset
- array
- integrate_log_log(axis_name, **kwargs)#
Integrate along a given axis.
This method uses log-log trapezoidal integration.
- Parameters
- axis_namestr
Along which axis to integrate.
- **kwargsdict
Coordinates at which to evaluate the IRF
- Returns
- array
Quantity
Returns 2D array with axes offset
- array
- interp_missing_data(axis_name)#
Interpolate missing data along a given axis
- is_allclose(other, rtol_axes=0.001, atol_axes=1e-06, **kwargs)#
Compare two data IRFs for equivalency
- Parameters
- other
gammapy.irfs.IRF
The irf to compare against
- rtol_axesfloat
Relative tolerance for the axes comparison.
- atol_axesfloat
Relative tolerance for the axes comparison.
- **kwargsdict
keywords passed to
numpy.allclose
- other
- Returns
- is_allclosebool
Whether the IRF is all close.
- normalize()#
Normalise psf
- pad(pad_width, axis_name, **kwargs)#
Pad irf along a given axis.
- Parameters
- pad_width{sequence, array_like, int}
Number of pixels padded to the edges of each axis.
- axis_namestr
Which axis to downsample. By default spatial axes are padded.
- **kwargsdict
Keyword argument forwarded to
pad
- Returns
- irf
IRF
Padded irf
- irf
- peek(figsize=(15, 5))#
Quick-look summary plots.
- Parameters
- figsizetuple
Size of the figure.
- plot_containment_radius(ax=None, fraction=0.68, add_cbar=True, **kwargs)#
Plot containment image with energy and theta axes.
- Parameters
- ax
Axes
Axes to plot on.
- fractionfloat
Containment fraction between 0 and 1.
- add_cbarbool
Add a colorbar
- **kwargsdict
Keyword arguments passed to
pcolormesh
- ax
- Returns
- ax
Axes
Axes to plot on.
- ax
- plot_containment_radius_vs_energy(ax=None, fraction=(0.68, 0.95), offset=<Quantity [0., 1.] deg>, **kwargs)#
Plot containment fraction as a function of energy.
- plot_psf_vs_rad(ax=None, offset=<Quantity [0.] deg>, energy_true=<Quantity [ 0.1, 1., 10. ] TeV>, **kwargs)#
Plot PSF vs rad.
- classmethod read(filename, hdu=None, format='gadf-dl3')#
Read from file.
- Parameters
- filenamestr or
Path
Filename
- hdustr
HDU name
- format{“gadf-dl3”}
Format specification
- filenamestr or
- Returns
- irf
IRF
IRF class
- irf
- slice_by_idx(slices)#
Slice sub IRF from IRF object.
- Parameters
- slicesdict
Dict of axes names and
slice
object pairs. Contains one element for each non-spatial dimension. Axes not specified in the dict are kept unchanged.
- Returns
- sliced
IRF
Sliced IRF object.
- sliced
- to_hdulist(format='gadf-dl3')#
- to_table(format='gadf-dl3')#
Convert to table
- Parameters
- format{“gadf-dl3”}
Format specification
- Returns
- table
Table
IRF data table
- table
- to_table_hdu(format='gadf-dl3')#
Convert to
BinTableHDU
.- Parameters
- format{“gadf-dl3”}
Format specification
- Returns
- hdu
BinTableHDU
IRF data table hdu
- hdu
- to_unit(unit)#
Convert irf to different unit
- Parameters
- unit
Unit
or str New unit
- unit
- Returns
- irf
IRF
IRF with new unit and converted data
- irf