gstlal_inspiral_create_prior_diststats: make the signal model depend on bandwidth

(cherry picked from commit 79dbac43)

gstlal-inspiral/bin/gstlal_inspiral_create_prior_diststats

@@ -119,8 +119,7 @@ def parse_command_line():
 				bandwidths += [templates.bandwidth(row.mass1, row.mass2, row.spin1z, row.spin2z, f_min = 10.0, f_max = row.f_final, delta_f = 0.25, psd = psd[ifo])]
 		horizon_factors.update(bank.horizon_factors)
 	if options.df == "bandwidth":
-		# NOTE the 4000 is tuned by looking at real data distributions
-		options.df = int(4000. / min(bandwidths))
+		options.df = int(min(bandwidths))
 
 	return options, process_params, filenames, template_ids, horizon_factors
 
@@ -160,10 +159,10 @@ process = ligolw_process.register_to_xmldoc(xmldoc, u"gstlal_inspiral_create_pri
 rankingstat = far.RankingStat(template_ids = template_ids, instruments = options.instrument, delta_t = options.coincidence_threshold, min_instruments = options.min_instruments, population_model_file = options.mass_model_file, dtdphi_file = options.dtdphi_file, horizon_factors = horizon_factors)
 
 if options.background_prior > 0:
-	rankingstat.denominator.add_noise_model(number_of_events = options.background_prior, df = int(options.df))
+	rankingstat.denominator.add_noise_model(number_of_events = options.background_prior)
 
 # Add the numerator
-rankingstat.numerator.add_signal_model()
+rankingstat.numerator.add_signal_model(df = int(options.df))
 
 
 #