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Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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Public Member Functions | |
| to_cpp (self) | |
Static Public Attributes | |
| SLICE = st.ProfilingMethod.SLICE | |
| FREE_PROJECTION = st.ProfilingMethod.FREE_PROJECTION | |
| PRIOR_CONSTRAINED_PROJECTION = st.ProfilingMethod.PRIOR_CONSTRAINED_PROJECTION | |
Strategy used to reduce a fit with more than two parameters to 2D.
Attributes:
SLICE: Vary the selected axes while keeping the other fit parameters at
their best-fit values.
FREE_PROJECTION: Profile all non-displayed fit parameters freely.
PRIOR_CONSTRAINED_PROJECTION: Profile non-displayed fit parameters with
Gaussian constraints derived from the global fit.
Definition at line 25 of file StatisticInterface.py.
| StatisticInterface.ProfilingMethod.to_cpp | ( | self | ) |
Convert to the bound C++ ``ProfilingMethod`` enum.
Definition at line 40 of file StatisticInterface.py.
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static |
Definition at line 37 of file StatisticInterface.py.
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static |
Definition at line 38 of file StatisticInterface.py.
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static |
Definition at line 36 of file StatisticInterface.py.