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

Public Member Functions

"MCResult" from_cpp (cls, cpp_obj)
 
 to_cpp (self)
 

Static Public Attributes

MCRealization mc_real = field(default_factory=MCRealization)
 
List summary = field(default_factory=list)
 
MCObservableCovariance covariance = field(default_factory=MCObservableCovariance)
 

Detailed Description

Complete Monte-Carlo uncertainty-propagation result.

Attributes:
    mc_real: Raw accepted samples and nuisance draws.
    summary: Per-observable Gaussian or split-Gaussian summaries.
    covariance: Observable covariance estimate and inverse.

Definition at line 187 of file MCResult.py.

Member Function Documentation

◆ from_cpp()

"MCResult" MCResult.MCResult.from_cpp (   cls,
  cpp_obj 
)
Create a Python result from a bound C++ ``MCResult``.

Definition at line 201 of file MCResult.py.

◆ to_cpp()

MCResult.MCResult.to_cpp (   self)
Convert this result to the bound C++ representation.

Definition at line 209 of file MCResult.py.

Member Data Documentation

◆ covariance

MCObservableCovariance MCResult.MCResult.covariance = field(default_factory=MCObservableCovariance)
static

Definition at line 198 of file MCResult.py.

◆ mc_real

MCRealization MCResult.MCResult.mc_real = field(default_factory=MCRealization)
static

Definition at line 196 of file MCResult.py.

◆ summary

List MCResult.MCResult.summary = field(default_factory=list)
static

Definition at line 197 of file MCResult.py.


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