Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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StatisticConfig.StatisticLikelihoodMode Class Reference
Inheritance diagram for StatisticConfig.StatisticLikelihoodMode:
Collaboration diagram for StatisticConfig.StatisticLikelihoodMode:

Public Member Functions

 to_cpp (self)
 

Static Public Attributes

 PROFILED_NUISANCE = st.StatisticLikelihoodMode.PROFILED_NUISANCE
 
 CHI2_MC_COVARIANCE = st.StatisticLikelihoodMode.CHI2_MC_COVARIANCE
 

Detailed Description

Likelihood backend used by the statistic manager.

Attributes:
    PROFILED_NUISANCE: Full likelihood backend with explicit nuisance
        parameters, nuisance copula and experimental-observable copula.
    CHI2_MC_COVARIANCE: Chi-square backend without explicit nuisance
        coordinates. The covariance is estimated from Monte-Carlo theory
        propagation and combined with the experimental covariance.

Definition at line 90 of file StatisticConfig.py.

Member Function Documentation

◆ to_cpp()

StatisticConfig.StatisticLikelihoodMode.to_cpp (   self)
Convert this Python enum wrapper to the bound C++ enum.

Returns:
    Bound C++ ``StatisticLikelihoodMode`` value.

Definition at line 104 of file StatisticConfig.py.

Member Data Documentation

◆ CHI2_MC_COVARIANCE

StatisticConfig.StatisticLikelihoodMode.CHI2_MC_COVARIANCE = st.StatisticLikelihoodMode.CHI2_MC_COVARIANCE
static

Definition at line 102 of file StatisticConfig.py.

◆ PROFILED_NUISANCE

StatisticConfig.StatisticLikelihoodMode.PROFILED_NUISANCE = st.StatisticLikelihoodMode.PROFILED_NUISANCE
static

Definition at line 101 of file StatisticConfig.py.


The documentation for this class was generated from the following file: