Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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MCResult Struct Reference

Complete output of a Monte Carlo propagation run. More...

#include <MCEngine.h>

Collaboration diagram for MCResult:

Public Attributes

MCRealization mc_real
 
std::vector< GaussianSummarysummary
 
MCObservableCovariance covariance
 
 ObsSample = Dict[BinnedObservableId, float]
 
 ObsSamples = List[ObsSample]
 
 NuisanceSample = Dict[ParamId, float]
 
 NuisanceSamples = List[NuisanceSample]
 

Detailed Description

Complete output of a Monte Carlo propagation run.

Definition at line 151 of file MCEngine.h.

Member Data Documentation

◆ covariance

MCObservableCovariance MCResult::covariance

Empirical observable covariance matrix and inverse.

Definition at line 159 of file MCEngine.h.

◆ mc_real

MCRealization MCResult::mc_real

Raw accepted Monte Carlo predictions and nuisance samples.

Definition at line 153 of file MCEngine.h.

◆ NuisanceSample

MCResult.NuisanceSample = Dict[ParamId, float]

Definition at line 27 of file MCResult.py.

◆ NuisanceSamples

MCResult.NuisanceSamples = List[NuisanceSample]

Definition at line 30 of file MCResult.py.

◆ ObsSample

MCResult.ObsSample = Dict[BinnedObservableId, float]

Definition at line 21 of file MCResult.py.

◆ ObsSamples

MCResult.ObsSamples = List[ObsSample]

Definition at line 24 of file MCResult.py.

◆ summary

std::vector<GaussianSummary> MCResult::summary

Gaussian or split-Gaussian summary of each observable distribution.

Definition at line 156 of file MCEngine.h.


The documentation for this struct was generated from the following files: