gstlal_cherenkiv_zl_rank_pdfs:

- perform density estimation and normalization to zero-lag counts

gstlal-burst/bin/gstlal_cherenkov_zl_rank_pdfs

@@ -125,6 +125,14 @@ for n, url in enumerate(urls, 1):
 		if coinc.coinc_def_id == coinc_def_id and coinc.time_slide_id in zl_time_slide_ids:
 			rankingstatpdf.zl_lr_lnpdf.count[coinc.likelihood,] += 1
 
+#
+# apply density estimation kernel to zero-lag counts
+#
+
+
+rankingstatpdf.density_estimate(rankingstatpdf.zl_lr_lnpdf, "zero-lag")
+rankingstatpdf.zl_lr_lnpdf.normalize()
+
 
 #
 # Write the parameter and ranking statistic distribution data to a file