PSF3D¶
-
class
gammapy.irf.PSF3D(axes, data=0, unit='', meta=None, interp_kwargs=None)[source]¶ Bases:
gammapy.irf.psf.core.PSFPSF 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
MapAxesWhether the IRF 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
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.
to_hdulist([format])to_table([format])Convert to table
to_table_hdu([format])Convert to
BinTableHDU.write(filename, *args, **kwargs)Write IRF to fits.
Attributes Documentation
-
axes¶ MapAxes
-
data¶
-
default_interp_kwargs= {'bounds_error': False, 'fill_value': 0.0}¶
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is_offset_dependent¶ Whether the IRF depends on offset
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is_pointlike¶ Whether the IRF is pointlike of full containment.
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required_axes= ['energy_true', 'offset', 'rad']¶
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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
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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
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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
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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.
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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
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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
-
normalize()¶ Normalise psf
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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
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peek(figsize=(15, 5))¶ Quick-look summary plots.
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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
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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.
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plot_psf_vs_rad(ax=None, offset=<Quantity [0.] deg>, energy_true=<Quantity [ 0.1, 1., 10. ] TeV>, **kwargs)¶ Plot PSF vs rad.
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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
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to_hdulist(format='gadf-dl3')¶
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to_table(format='gadf-dl3')¶ Convert to table
- Parameters
- format{“gadf-dl3”}
Format specification
- Returns
- table
Table IRF data table
- table
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to_table_hdu(format='gadf-dl3')¶ Convert to
BinTableHDU.- Parameters
- format{“gadf-dl3”}
Format specification
- Returns
- hdu
BinTableHDU IRF data table hdu
- hdu