flasc.model_fitting.floris_tuning.select_best_wd_std#
- flasc.model_fitting.floris_tuning.select_best_wd_std(er_results, value_candidates, ax=None)[source]#
Consider wd_std and determine the best fit with respect to squared error.
- Parameters:
er_results (np.ndarray) -- The energy ratio errors
value_candidates (np.ndarray) -- The parameter values
ax (Axes) -- The axes to plot on. If None, no plot is made. Default is None.
- Returns:
The best parameter value
- Return type:
float