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Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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Public Member Functions | |
| "MCConfig" | from_cpp (cls, cpp_obj) |
| to_cpp (self) | |
Static Public Attributes | |
| int | draws = 10000 |
| float | skew_abs_threshold = 0.2 |
| float | covariance_ridge_rel = 1e-8 |
| float | covariance_ridge_abs = 1e-12 |
| bool | retry_failed_predictions = True |
| int | max_prediction_failures = 20000 |
Options controlling Monte-Carlo uncertainty propagation.
Attributes:
draws: Number of accepted Monte-Carlo predictions to generate.
skew_abs_threshold: Absolute skewness threshold below which an
observable distribution is treated as symmetric.
covariance_ridge_rel: Relative diagonal ridge added before covariance
inversion.
covariance_ridge_abs: Absolute minimum diagonal ridge.
retry_failed_predictions: Whether failed model predictions should be
skipped and retried.
max_prediction_failures: Maximum number of rejected predictions before
the backend propagates the failure.
Definition at line 72 of file MCResult.py.
| "MCConfig" MCResult.MCConfig.from_cpp | ( | cls, | |
| cpp_obj | |||
| ) |
Create Python options from a bound C++ ``MCConfig``.
Definition at line 96 of file MCResult.py.
| MCResult.MCConfig.to_cpp | ( | self | ) |
Convert this config to a bound C++ ``MCConfig`` object.
Definition at line 107 of file MCResult.py.
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Definition at line 91 of file MCResult.py.
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Definition at line 90 of file MCResult.py.
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Definition at line 88 of file MCResult.py.
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Definition at line 93 of file MCResult.py.
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Definition at line 92 of file MCResult.py.
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Definition at line 89 of file MCResult.py.