diff_events_after_cut

lstchain.mc.sensitivity.diff_events_after_cut(events, rates, obstime, feature, cut, gamma_efficiency)

This function calculates the difference between the number of events after the cut in feature and gamma_efficiency*total number of events

Parameters:

events: `pd.dataframe` Dataframe of events

rates: `np.ndarray` gamma rates

obstime: `observation time`

feature: `string` feature for cut: gammaness or theta2

cut: `float` cut in feature

gamma_efficiency: `float` target gamma efficiency for the cut

Returns:

midpoint: float cut in feature