analyzer.postprocessing.aggregate_plots

Attributes

significance_type_funcs
significance_calculation_funcs

Classes

SignificanceType	str(object='') -> str
SignificanceCalculation	str(object='') -> str
Significance2D	Helper class that provides a standard way to create an ABC using

Functions

poisson_basic(s, b)
poisson_low_stat(s, b)
single_bin(f, s, b)
quadrature_sum(f, s, b)
makeSignificance2D(signal, background, ...[, ...])

Module Contents

class analyzer.postprocessing.aggregate_plots.SignificanceType

Bases: str, enum.Enum

str(object=’’) -> str str(bytes_or_buffer[, encoding[, errors]]) -> str

Create a new string object from the given object. If encoding or errors is specified, then the object must expose a data buffer that will be decoded using the given encoding and error handler. Otherwise, returns the result of object.__str__() (if defined) or repr(object). encoding defaults to sys.getdefaultencoding(). errors defaults to ‘strict’.

poisson_basic = 'poisson_basic'

poisson_low_stat = 'poisson_low_stat'

class analyzer.postprocessing.aggregate_plots.SignificanceCalculation

Bases: str, enum.Enum

str(object=’’) -> str str(bytes_or_buffer[, encoding[, errors]]) -> str

Create a new string object from the given object. If encoding or errors is specified, then the object must expose a data buffer that will be decoded using the given encoding and error handler. Otherwise, returns the result of object.__str__() (if defined) or repr(object). encoding defaults to sys.getdefaultencoding(). errors defaults to ‘strict’.

single_bin = 'single_bin'

quadrature_sum = 'quadrature_sum'

analyzer.postprocessing.aggregate_plots.poisson_basic(s, b)

analyzer.postprocessing.aggregate_plots.poisson_low_stat(s, b)

analyzer.postprocessing.aggregate_plots.single_bin(f, s, b)

analyzer.postprocessing.aggregate_plots.quadrature_sum(f, s, b)

analyzer.postprocessing.aggregate_plots.significance_type_funcs

analyzer.postprocessing.aggregate_plots.significance_calculation_funcs

analyzer.postprocessing.aggregate_plots.makeSignificance2D(signal, background, common_metadata, output_path, significance_type, significance_calculation, xy_pattern, xyz_labels, style, plot_configuration=None, **kwargs)

class analyzer.postprocessing.aggregate_plots.Significance2D

Bases: analyzer.postprocessing.processors.BasePostprocessor

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

output_name: str

group_xy_patterns: tuple[list[str], list[str]]

xyz_labels: tuple[str, str, str]

style: analyzer.postprocessing.style.Style

significance_type: SignificanceType

significance_calculation: SignificanceCalculation

scale: Literal['log', 'linear'] = 'linear'

getRunFuncs(group, prefix=None)