Remnant-fits.md

@@ -286,7 +286,7 @@ for param in pesummary_samples.keys():
 
 # Check posterior samples
 not_included = []
-for param in ["tilt1_isco", "tilt2_isco", "phi12_isco", "l_peak_evol_avg", "mf_evol_avg", "e_rad_evol_avg", "af_evol_avg"]:
+for param in ["l_peak_evol_avg", "mf_evol_avg", "e_rad_evol_avg", "af_evol_avg"]:
     if param in pesummary_dict.keys() and param != "e_rad_evol_avg":
         comparison = np.round(pesummary_dict[param], 8) == np.round(lalinf_samples[param], 8)
         difference = np.abs(pesummary_dict[param] - lalinf_samples[param])
@@ -301,9 +301,6 @@ for param in ["tilt1_isco", "tilt2_isco", "phi12_isco", "l_peak_evol_avg", "mf_e
 With output:
 
 ```bash
-Maximum difference for tilt1_isco: 0.00016935480523350144
-Maximum difference for tilt2_isco: 0.00032114999367438557
-Maximum difference for phi12_isco: 0.0008060677213324041
 Maximum difference for l_peak_evol_avg: 1.0976890889136115e-05
 Maximum difference for mf_evol_avg: 2.745710679619151e-05
 Maximum difference for af_evol_avg: 9.770286555355057e-07