analyzer.postprocessing.corrections¶

Classes¶

CorrectionLibEff

Helper class that provides a standard way to create an ABC using

Functions¶

`exportEfficiencyToCorrectionLib`(num, den, common_meta, ...)
`generateDiagnosticPlots`(num, args, *kwargs)
`generateDiagnosticPlots1D`(num, den, common_meta, ...)
`generateDiagnosticPlots2D`(num, den, common_meta, ...)

Module Contents¶

analyzer.postprocessing.corrections.exportEfficiencyToCorrectionLib(num, den, common_meta, ratio_type, output_path, correction_name, version=1, description='Ratio correction', diagnostic_plots=False, diagnostic_output_path=None, plot_configuration=None, style_set=None)[source]¶

analyzer.postprocessing.corrections.generateDiagnosticPlots(num, *args, **kwargs)[source]¶

analyzer.postprocessing.corrections.generateDiagnosticPlots1D(num, den, common_meta, ratio_type, base_output_path, corr=None, plot_configuration=None, style_set=None, ratio_unc=None)[source]¶

analyzer.postprocessing.corrections.generateDiagnosticPlots2D(num, den, common_meta, ratio_type, base_output_path, corr=None, plot_configuration=None, style_set=None, ratio_unc=None)[source]¶

class analyzer.postprocessing.corrections.CorrectionLibEff[source]¶

Bases: analyzer.postprocessing.processors.BasePostprocessor

Helper class that provides a standard way to create an ABC using inheritance.

output_name: str[source]¶

correction_name: str[source]¶

ratio_type: Literal['poisson', 'efficiency'] = 'efficiency'[source]¶

diagnostic_plots: bool = False[source]¶

diagnostic_output_name: str | None = None[source]¶

style_set: str | analyzer.postprocessing.style.StyleSet[source]¶

getRunFuncs(group, prefix=None)[source]¶