gstlal_inspiral: switch from expected SNR calc in injections to simply trimming down inj list

gstlal-inspiral/bin/gstlal_inspiral

@@ -775,27 +775,20 @@ for output_file_number, (svd_bank_url_dict, output_url, ranking_stat_output_url,
 		options.upload_time_before_merger = {row.template_id: abs(row.end.gpsSeconds) + 1e-9*abs(row.end.gpsNanoSeconds) for bank in list(banks.items())[0][-1] for row in bank.sngl_inspiral_table}
 
 	#
-	# calculate expected injection SNR if processing injections
-	# and a PSD is available. if so, this will filter the set
-	# of injections, calculate the expected the SNR and write
-	# the new injection file to disk before the pipeline starts up
+	# trim down injection list to the job's analysis segments if processing
+	# injections. this is done for two reasons:
+	#   1. increase efficiency for the injection element
+	#   2. decrease size of sim_inspiral table in output trigger files
 	#
 
-	if (options.injections and options.reference_psd) and not options.data_source in ("lvshm", "framexmit"):
-		if options.verbose:
-			print("calculating expected SNR for injections...", file=sys.stderr)
-
+	if options.injections:
 		# read in injections
 		xmldoc = ligolw_utils.load_filename(options.injections, verbose = options.verbose, contenthandler = LIGOLWContentHandler)
 		sim_inspiral_table = lsctables.SimInspiralTable.get_table(xmldoc)
 
-		# calculate expected SNR
-		# NOTE: f_high is determined from the bank's highest sampling
-		#       rate with a fudge factor to safely deal with roll-off
-		f_low = min(set(bank.f_low for ifo in banks.keys() for bank in banks[ifo]))
-		max_rate = max(set(rate for ifo in banks.keys() for bank in banks[ifo] for rate in bank.get_rates()))
-		f_high = 0.8 * (max_rate / 2.)
-		inspiral.calc_sim_inspiral_table_snrs(sim_inspiral_table, psd, detectors.seg, f_low = f_low, f_high = f_high, sample_rate = max_rate)
+		# trim injection list to analysis segments
+		injections = [inj for inj in sim_inspiral_table if inj.time_geocent in detectors.seg]
+		sim_inspiral_table[:] = injections
 
 		# write the injection file back out to a temporary directory
 		f, fname = tempfile.mkstemp(".xml.gz")