RadMax2D

class gammapy.irf.RadMax2D(axes, data=0, unit='', meta=None, interp_kwargs=None)[source]

Bases: gammapy.irf.core.IRF

2D Rad Max table.

This is not directly a IRF component but is needed as additional information for point-like IRF components when an energy or field of view dependent directional cut has been applied.

Data format specification: RAD_MAX_2D

Parameters
energy_axisMapAxis

Reconstructed energy axis

offset_axisMapAxis

Field of view offset axis.

dataQuantity

Applied directional cut

metadict

Meta data

Attributes Summary

axes

MapAxes

data

default_interp_kwargs

is_offset_dependent

Whether the IRF depends on offset

is_pointlike

Whether the IRF is pointlike of full containment.

quantity

Quantity

required_axes

tag

unit

Map unit (Unit)

Methods Summary

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.

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

normalize(axis_name)

Normalise data in place along a given axis.

pad(pad_width, axis_name, **kwargs)

Pad irf along a given axis.

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}
is_offset_dependent

Whether the IRF depends on offset

is_pointlike

Whether the IRF is pointlike of full containment.

quantity

Quantity

required_axes = ['energy', 'offset']
tag = 'rad_max_2d'
unit

Map unit (Unit)

Methods Documentation

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

Returns
irfIRF

IRF class

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

Read from Table.

Parameters
tableTable

Table with irf data

format{“gadf-dl3”}

Format specification

Returns
irfIRF

IRF class.

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

normalize(axis_name)

Normalise data in place along a given axis.

Parameters
axis_namestr

Along which axis to normalize.

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
irfIRF

Padded irf

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

Read from file.

Parameters
filenamestr or Path

Filename

hdustr

HDU name

format{“gadf-dl3”}

Format specification

Returns
irfIRF

IRF class

to_hdulist(format='gadf-dl3')
to_table(format='gadf-dl3')

Convert to table

Parameters
format{“gadf-dl3”}

Format specification

Returns
tableTable

IRF data table

to_table_hdu(format='gadf-dl3')

Convert to BinTableHDU.

Parameters
format{“gadf-dl3”}

Format specification

Returns
hduBinTableHDU

IRF data table hdu

write(filename, *args, **kwargs)

Write IRF to fits.

Calls writeto, forwarding all arguments.