- rubin_sim.maf.run_comparison.detected_fisher_comparison(fisher_results, detect_results, fisher_sigmat_e_t_e_cutoff=0.1)¶
Returns an array of the following form where A = fisher criteria and B = detection criteria: [[(Yes A and Yes B), (Yes A and No B)], [(No A and Yes B), (No A and No B)]] where Yes A and Yes B are the number of events that pass both the A and B criteria.
- fisher_resultsnumpy array
Array of results from running the Fisher metric of the microlensing metric
- detect_resultsnumpy array
Array of results from running the detect metric of the microlensing metric
- 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