nu_coincidence.populations.selection module

class nu_coincidence.populations.selection.CombinedFluxIndexSelection(name: str = 'CombinedFluxIndexSelection', use_obs_value: bool = True)

Bases: LowerBound

Selection on CombinedFluxIndexSampler, with the form:

index = slope log10(flux) + intercept

CombinedFluxIndexSampler transforms to: -(index - slope log10(flux)) such that a constant selection can be made on -intercept.

See e.g. Fig. 4 in Ajello et al. 2020 (4LAC), default values are set to approximate this.

boundary

class nu_coincidence.populations.selection.CombinedFluxIndexSoftSelection(name: str = 'CombinedFluxIndexSoftSelection', use_obs_value: bool = True)

Bases: SoftSelection

Selection on CombinedFluxIndexSampler, with the form:

index = slope log10(flux) + intercept

CombinedFluxIndexSampler transforms to: -(index - slope log10(flux)) such that a constant selection can be made on -intercept.

See e.g. Fig. 4 in Ajello et al. 2020 (4LAC), default values are set to approximate this.

boundary

draw(size: int, use_log: bool = False)

Override draw to not use log values.

strength