gstlal_inspiral_pipe: support bandwidth dependent background priors

gstlal-inspiral/bin/gstlal_inspiral_pipe

@@ -488,7 +488,7 @@ def adapt_gstlal_inspiral_output(inspiral_nodes, options, segsdict):
 
 	return lloid_output, lloid_diststats
 
-def rank_and_merge(dag, createPriorDistStatsJob, calcRankPDFsJob, calcRankPDFsWithZerolagJob, calcLikelihoodJob, calcLikelihoodJobInj, lalappsRunSqliteJob, toSqliteJob, marginalizeJob, svd_nodes, inspiral_nodes, lloid_output, lloid_diststats, options, boundary_seg, instrument_set, mass_model_add_node, mass_model_file):
+def rank_and_merge(dag, createPriorDistStatsJob, calcRankPDFsJob, calcRankPDFsWithZerolagJob, calcLikelihoodJob, calcLikelihoodJobInj, lalappsRunSqliteJob, toSqliteJob, marginalizeJob, svd_nodes, inspiral_nodes, lloid_output, lloid_diststats, options, boundary_seg, instrument_set, mass_model_add_node, mass_model_file, ref_psd):
 
 	likelihood_nodes = {}
 	rankpdf_nodes = []
@@ -510,8 +510,8 @@ def rank_and_merge(dag, createPriorDistStatsJob, calcRankPDFsJob, calcRankPDFsWi
 		# the time being.
 		priornode = dagparts.DAGNode(createPriorDistStatsJob, dag,
 				parent_nodes = [one_ifo_svd_nodes[n]] + mass_model_add_node,
-				opts = {"instrument":instrument_set, "background-prior":1, "min-instruments":options.min_instruments},
-				input_files = {"svd-file":one_ifo_svd_nodes[n].output_files["write-svd"], "mass-model-file":mass_model_file},
+				opts = {"instrument":instrument_set, "background-prior":10000, "min-instruments":options.min_instruments, "df": "bandwidth"},
+				input_files = {"svd-file":one_ifo_svd_nodes[n].output_files["write-svd"], "mass-model-file":mass_model_file, "psd-xml": ref_psd},
 				output_files = {"write-likelihood":dagparts.T050017_filename(instruments, '%04d_CREATE_PRIOR_DIST_STATS' % (n,), boundary_seg, '.xml.gz', path = createPriorDistStatsJob.output_path)}
 			)
 		# Create a file that has the priors *and* all of the diststats
@@ -1463,7 +1463,7 @@ if not options.lloid_cache:
 	# Setup likelihood jobs, clustering and/or merging
 	#
 
-	rankpdf_nodes, rankpdf_zerolag_nodes, outnodes = rank_and_merge(dag, createPriorDistStatsJob, calcRankPDFsJob, calcRankPDFsWithZerolagJob, calcLikelihoodJob, calcLikelihoodJobInj, lalappsRunSqliteJob, toSqliteJob, marginalizeJob, svd_nodes, inspiral_nodes, lloid_output, lloid_diststats, options, boundary_seg, instrument_set, model_add_node, model_file_name)
+	rankpdf_nodes, rankpdf_zerolag_nodes, outnodes = rank_and_merge(dag, createPriorDistStatsJob, calcRankPDFsJob, calcRankPDFsWithZerolagJob, calcLikelihoodJob, calcLikelihoodJobInj, lalappsRunSqliteJob, toSqliteJob, marginalizeJob, svd_nodes, inspiral_nodes, lloid_output, lloid_diststats, options, boundary_seg, instrument_set, model_add_node, model_file_name, ref_psd)
 
 else:
 	#