pyhf.infer.calculators.generate_asimov_data¶
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pyhf.infer.calculators.
generate_asimov_data
(asimov_mu, data, pdf, init_pars, par_bounds, fixed_params)[source]¶ Compute Asimov Dataset (expected yields at best-fit values) for a given POI value.
- Parameters
asimov_mu (float) – The value for the parameter of interest to be used.
data (tensor) – The observed data.
pdf (Model) – The statistical model adhering to the schema
model.json
.init_pars (tensor) – The initial parameter values to be used for fitting.
par_bounds (tensor) – The parameter value bounds to be used for fitting.
fixed_params (tensor) – Parameters to be held constant in the fit.
- Returns
The Asimov dataset.
- Return type
Tensor