Apply 2 suggestion(s) to 2 file(s)

bilby/gw/conversion.py

@@ -1403,9 +1403,8 @@ def compute_snrs(sample, likelihood, npool=1):
     """
     if likelihood is not None:
         if isinstance(sample, dict):
-            signal_polarizations = likelihood.waveform_generator.frequency_domain_strain(sample)
             likelihood.parameters.update(sample)
-
+            signal_polarizations = likelihood.waveform_generator.frequency_domain_strain(sample)
             for ifo in likelihood.interferometers:
                 per_detector_snr = likelihood.calculate_snrs(signal_polarizations, ifo)
                 sample['{}_matched_filter_snr'.format(ifo.name)] =\

bilby/gw/likelihood/relative.py

@@ -10,8 +10,8 @@ from ..utils import noise_weighted_inner_product
 
 class RelativeBinningGravitationalWaveTransient(GravitationalWaveTransient):
     """A gravitational-wave transient likelihood object which uses the relative
-    binning procedure to calculate a fast likelihood. See IAS paper:
-
+    binning procedure to calculate a fast likelihood. See Zackay et al.
+    arXiv1806.08792
 
     Parameters
     ----------