O4-review/relative-binning.md

@@ -10,6 +10,11 @@ If the mismatches, defined as the log of the absolute difference between (natura
 By rejection sampling using the weights (true vs approximate likelihood ratios), we can find the fraction of samples obtained.
 If the rejection sampling efficiency is small, then we can say that the approximation failed and we should repeat with a more robust method.
 
+We do _not_ attempt to validate the performance of the automatic fiducial point finding using likelihood optimization.
+We also do not test the method on any waveform models with higher-order modes where the approximation is expected to be less robust.
+
+The importance sampling can be automatically performed by `bilby_pipe` using the `reweighting-configuration` argument.
+
 ## [Unit testing](https://git.ligo.org/lscsoft/bilby/-/blob/master/test/gw/likelihood/relative_binning_test.py)
 
 As part of the `Bilby` CI unit testing, we verify that the binned likelihood agrees with the regular likelihood as the reference point for a range of cases.
@@ -52,7 +57,7 @@ The fiducial BNS injection has been analyzed with the relative binning likelihoo
 
 In all cases where a suitable starting point was provided, we see good agreement with the ROQ-likelihood runs and good resampling efficiency.
 
-Here is the distribution of likelihood mismatches for two identical analyses of the fiducial BNS signal with a processing spin prior with magnitudes up to 0.4 and tidal deformability up to 5000.
+Here is the distribution of likelihood mismatches for [two identical analyses of the fiducial BNS signal](https://ldas-jobs.ligo.caltech.edu/~colm.talbot/O4/setup_configurations/outdir_dynesty_relbin_medSpin_precessing_cal/) with a processing spin prior with magnitudes up to 0.4 and tidal deformability up to 5000.
 The legend entries show the fraction of samples surviving rejection sampling.
 It is very close to 1.
 
@@ -60,6 +65,7 @@ It is very close to 1.
 
 By accident, we performed some runs with fiducial parameters that are a very bad fit to the actual signal.
 In this case, we found that the rejection sampling efficiency was very small with large mismatches.
+The corresponding analysis can be found at `/home/sylvia.biscoveanu/bilby_pipe/runs/review_test/O4/fiducial_bns_PhenomTidal_take2/outdir_dynesty_relbin_medSpin_precessing_cal`.
 
 ![image](uploads/40f2dcd4e4d95c293222f6e36e230092/image.png)