angular_resolution

pyirf.benchmarks.angular_resolution(events, energy_bins, energy_type='true', quantile=0.6826894921370859)

Calculate the angular resolution.

This implementation corresponds to the 68% containment of the angular distance distribution.

Passing a list of quantiles results in all the quantiles being calculated.

Parameters:

eventsastropy.table.QTable

Astropy Table object containing the reconstructed events information.

energy_bins: numpy.ndarray(dtype=float, ndim=1)

Bin edges in energy.

energy_type: str

Either “true” or “reco” energy. Default is “true”.

quantilelist(float)

Which quantile(s) to use for the angular resolution, by default, the containment of the 1-sigma region of the normal distribution (~68%) is used.

Returns:

resultastropy.table.QTable

QTable containing the 68% containment of the angular distance distribution per each reconstructed energy bin.