- gammapy.makers.utils.make_theta_squared_table(observations, theta_squared_axis, position, position_off=None)#
Make theta squared distribution in the same FoV for a list of
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.
- observations: `~gammapy.data.Observations`
List of observations
Axis of edges of the theta2 bin used to compute the distribution
Position from which the on theta^2 distribution is computed
Position from which the OFF theta^2 distribution is computed. Default: reflected position w.r.t. to the pointing position
Table containing the on counts, the off counts, acceptance, off acceptance and alpha for each theta squared bin.