rubin_sim.maf.run_comparison.get_results(df, run_type, fisher_sigmat_e_t_e_cutoff=0.1)

Plots the results from the discovery/detect metric, Npts metric, and Fisher metric in three sub plots

dfpandas dataframe

Pandas dataframe of the results npz file

run_typesnumpy array of strings

Array of strings describing microlensing metric type: either ‘detect’, ‘Npts’, or ‘Fisher’ as parsed by the file name

fisher_sigmat_e_t_e_cutofffloat (Default is 0.1)

Maximum normalized uncertainty in tE (sigmatE/tE) as determined by 3sigma values of pubished planet microlensing candidates