ThetaSquaredTable

class gammapy.makers.utils.ThetaSquaredTable

Bases: object

Make theta squared distribution in the same FoV for a list of Observation objects.

The ON theta2 profile is computed from a given distribution, on_position. By default, the OFF theta2 profile is extracted from a mirror position radially symmetric in the FOV to pos_on.

The ON and OFF regions are assumed to be of the same size, so the normalisation factor between both region alpha = 1.

Parameters:

observationsObservations

List of observations.

theta_squared_axisMapAxis

Axis of edges of the theta2 bin used to compute the distribution.

positionSkyCoord

Position from which the on theta^2 distribution is computed.

position_offSkyCoord

Position from which the OFF theta^2 distribution is computed. Default is reflected position w.r.t. to the pointing position. It is available only if off_regions_number is equal to 1.

energy_edgeslist of Quantity, optional

Edges of the energy bin where the theta squared distribution is evaluated. For now, only one interval is accepted. Default is None.

off_regions_numberint, optional

Number of OFF regions. Default is 1. WARNING: the user should be aware that, if regions overlap, only the reflected OFF region will be considered.

Returns:

tableTable

Table containing the on counts, the off counts, acceptance, off acceptance and alpha for each theta squared bin.

Methods Summary

run()

Run theta square distribution.

Methods Documentation

run()

Run theta square distribution.

__init__(observations, theta_squared_axis, position, position_off=None, energy_edges=None, off_regions_number=1)

classmethod __new__(*args, **kwargs)