calculate_percentile_cut

pyirf.cuts.calculate_percentile_cut(values, bin_values, bins, fill_value, percentile=68, min_value=None, max_value=None, smoothing=None, min_events=10)[source]

Calculate cuts as the percentile of a given quantity in bins of another quantity.

Parameters:

values: ``~numpy.ndarray`` or ``~astropy.units.Quantity``: The values for which the cut should be calculated
bin_values: ``~numpy.ndarray`` or ``~astropy.units.Quantity``: The values used to sort the values into bins
edges: ``~numpy.ndarray`` or ``~astropy.units.Quantity``: Bin edges
fill_value: float or quantity: Value for bins with less than min_events, must have same unit as values
percentile: float: The percentile to calculate in each bin as a percentage, i.e. 0 <= percentile <= 100.
min_value: float or quantity or None: If given, cuts smaller than this value are replaced with min_value
max_value: float or quantity or None: If given, cuts larger than this value are replaced with max_value
smoothing: float or None: If given, apply a gaussian filter of width sigma in terms of bins.
min_events: int: Bins with less events than this number are replaced with fill_value