PointSourceSensitivityOptimizer#

class ctapipe.irf.optimize.PointSourceSensitivityOptimizer(**kwargs: Any)[source]#

Optimizes a G/H cut for maximum point source sensitivity and calculates a percentile cut on theta.

Attributes Summary

`alpha`	Size ratio of on region / off region.
`classes`
`gh_cut_efficiency_step`	Stepsize used for scanning after optimal gammaness cut
`initial_gh_cut_efficency`	Start value of gamma efficiency before optimization
`max_background_fov_offset`	Maximum distance from the fov center for background events to be taken into account
`max_gh_cut_efficiency`	Maximum gamma efficiency requested
`min_background_fov_offset`	Minimum distance from the fov center for background events to be taken into account
`needs_background`

Methods Summary

__call__(events, quality_query, clf_prefix)

Optimize G/H (and optionally spatial selection) cuts and fill them in an OptimizationResult.

Attributes Documentation

gh_cut_efficiency_step#: Stepsize used for scanning after optimal gammaness cut

initial_gh_cut_efficency#: Start value of gamma efficiency before optimization

max_background_fov_offset#: Maximum distance from the fov center for background events to be taken into account

min_background_fov_offset#: Minimum distance from the fov center for background events to be taken into account

Methods Documentation

__call__(events: dict[str, QTable], quality_query: EventQualityQuery, clf_prefix: str) → OptimizationResult[source]#

Optimize G/H (and optionally spatial selection) cuts and fill them in an OptimizationResult.

Parameters:

events: dict[str, astropy.table.QTable]: Dictionary containing tables of events used for calculating cuts. This has to include “signal” events and can include “background” events.
quality_query: ctapipe.irf.EventPreprocessor: ctapipe.core.QualityQuery subclass containing preselection criteria for events.
clf_prefix: str: Prefix of the output from the G/H classifier for which the cut will be optimized.