PSF3D#

class gammapy.irf.PSF3D(axes, data=0, unit='', is_pointlike=False, fov_alignment=FoVAlignment.RADEC, meta=None, interp_kwargs=None)[source]#

Bases: PSF

PSF with axes: energy, offset, rad.

Data format specification: PSF_TABLE

Parameters:
energy_axis_trueMapAxis

True energy axis.

offset_axisMapAxis

Offset axis.

rad_axisMapAxis

Rad axis.

dataQuantity

PSF (3-dim with axes: psf[rad_index, offset_index, energy_index].

metadict

Metadata dictionary.

Attributes Summary

axes

MapAxes.

data

default_interp_kwargs

default_unit

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.

quantity

Quantity as a Quantity object.

required_axes

tag

unit

Map unit as a Unit object.

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 information.

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.

normalize()

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, ...])

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])

Write the HDU list.

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.

quantity#

Quantity as a Quantity object.

required_axes = ['energy_true', 'offset', 'rad']#
tag = 'psf_table'#
unit#

Map unit as a Unit object.

Methods Documentation

containment(rad, **kwargs)#

Containment tof the PSF at given axes coordinates.

Parameters:
radQuantity

Rad value.

**kwargsdict

Other coordinates.

Returns:
containmentndarray

Containment.

containment_radius(fraction, factor=20, **kwargs)#

Containment radius at given axes coordinates.

Parameters:
fractionfloat or ndarray

Containment fraction.

factorint, optional

Up-sampling factor of the rad axis, determines the precision of the computed containment radius. Default is 20.

**kwargsdict

Other coordinates.

Returns:
radiusAngle

Containment radius.

cumsum(axis_name)#

Compute cumsum along a given axis.

Parameters:
axis_namestr

Along which axis to integrate.

Returns:
irfIRF

Cumsum IRF.

evaluate(method=None, **kwargs)#

Evaluate IRF.

Parameters:
**kwargsdict

Coordinates at which to evaluate the IRF.

methodstr {‘linear’, ‘nearest’}, optional

Interpolation method.

Returns:
arrayQuantity

Interpolated values.

classmethod from_hdulist(hdulist, hdu=None, format='gadf-dl3')#

Create from HDUList.

Parameters:
hdulistHDUList

HDU list.

hdustr

HDU name.

format{“gadf-dl3”}

Format specification. Default is “gadf-dl3”.

Returns:
irfIRF

IRF class.

classmethod from_table(table, format='gadf-dl3')#

Read from Table.

Parameters:
tableTable

Table with IRF data.

format{“gadf-dl3”}, optional

Format specification. Default is “gadf-dl3”.

Returns:
irfIRF

IRF class.

info(fraction=(0.68, 0.95), energy_true=<Quantity [[ 1.],            [10.]] TeV>, offset=<Quantity 0. deg>)#

Print PSF summary information.

The containment radius for given fraction, energies and thetas is computed and printed on the command line.

Parameters:
fractionlist, optional

Containment fraction to compute containment radius for, between 0 and 1. Default is (0.68, 0.95).

energy_trueQuantity, optional

Energies to compute containment radius for. Default is ([1.0], [10.0]) TeV.

offsetQuantity, optional

Offset to compute containment radius for. Default is 0 deg.

Returns:
infostring

Formatted string containing the summary information.

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:
arrayQuantity

Returns 2D array with axes offset.

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:
arrayQuantity

Returns 2D array with axes offset.

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:
otherIRF

The IRF to compare against.

rtol_axesfloat, optional

Relative tolerance for the axis comparison. Default is 1e-3.

atol_axesfloat, optional

Absolute tolerance for the axis comparison. Default is 1e-6.

**kwargsdict

Keywords passed to numpy.allclose.

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

Axis to downsample. By default, spatial axes are padded.

**kwargsdict

Keyword argument forwarded to pad.

Returns:
irfIRF

Padded IRF.

peek(figsize=(15, 5))#

Quick-look summary plots.

Parameters:
figsizetuple, optional

Size of the figure. Default is (15, 5).

plot_containment_radius(ax=None, fraction=0.68, add_cbar=True, axes_loc=None, kwargs_colorbar=None, **kwargs)#

Plot containment image with energy and theta axes.

Parameters:
axAxes, optional

Matplotlib axes. Default is None.

fractionfloat, optional

Containment fraction between 0 and 1. Default is 0.68.

add_cbarbool, optional

Add a colorbar. Default is True.

axes_locdict, optional

Keyword arguments passed to append_axes.

kwargs_colorbardict, optional

Keyword arguments passed to colorbar.

**kwargsdict

Keyword arguments passed to pcolormesh.

Returns:
axAxes

Matplotlib axes.

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.

Parameters:
axAxes, optional

Matplotlib axes. Default is None.

fractionlist of float or ndarray, optional

Containment fraction between 0 and 1. Default is (0.68, 0.95).

offsetQuantity, optional

Offset array. Default is (0, 1) deg.

**kwargsdict

Keyword arguments passed to plot.

Returns:
axAxes

Matplotlib axes.

plot_psf_vs_rad(ax=None, offset=<Quantity [0.] deg>, energy_true=<Quantity [ 0.1, 1., 10. ] TeV>, **kwargs)#

Plot PSF vs rad.

Parameters:
axAxes, optional

Matplotlib axes. Default is None.

offsetAngle, optional

Offset in the field of view. Default is 0 deg.

energy_trueQuantity, optional

True energy at which to plot the profile. Default is [0.1, 1, 10] TeV.

kwargsdict

Keyword arguments.

classmethod read(filename, hdu=None, format='gadf-dl3')#

Read from file.

Parameters:
filenamestr or Path

Filename.

hdustr

HDU name.

format{“gadf-dl3”}, optional

Format specification. Default is “gadf-dl3”.

Returns:
irfIRF

IRF class.

slice_by_idx(slices)#

Slice sub IRF from IRF object.

Parameters:
slicesdict

Dictionary of axes names and slice object pairs. Contains one element for each non-spatial dimension. Axes not specified in the dictionary are kept unchanged.

Returns:
slicedIRF

Sliced IRF object.

to_hdulist(format='gadf-dl3')#

Write the HDU list.

Parameters:
format{“gadf-dl3”}, optional

Format specification. Default is “gadf-dl3”.

to_table(format='gadf-dl3')#

Convert to table.

Parameters:
format{“gadf-dl3”}, optional

Format specification. Default is “gadf-dl3”.

Returns:
tableTable

IRF data table.

to_table_hdu(format='gadf-dl3')#

Convert to BinTableHDU.

Parameters:
format{“gadf-dl3”}, optional

Format specification. Default is “gadf-dl3”.

Returns:
hduBinTableHDU

IRF data table HDU.

to_unit(unit)#

Convert IRF to different unit.

Parameters:
unitUnit or str

New unit.

Returns:
irfIRF

IRF with new unit and converted data.

write(filename, *args, **kwargs)#

Write IRF to fits.

Calls writeto, forwarding all arguments.