From a255f43c7c06aa4ece52c1165a34df1f1600d905 Mon Sep 17 00:00:00 2001
From: Carl-Johan Haster <carl-johan.haster@ligo.org>
Date: Wed, 20 Feb 2019 11:21:17 +1100
Subject: [PATCH] Change median_logL to mean_logL

---
 lalinference/python/cbcBayesMCMC2pos.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lalinference/python/cbcBayesMCMC2pos.py b/lalinference/python/cbcBayesMCMC2pos.py
index 8ebab47774..52c4fec1eb 100644
--- a/lalinference/python/cbcBayesMCMC2pos.py
+++ b/lalinference/python/cbcBayesMCMC2pos.py
@@ -137,11 +137,11 @@ def downsample_and_evidence(data_hdf5, deltaLogP=None, fixedBurnin=None, nDownsa
 	logls = np.zeros_like(betas)
 
 	betas[0] = 1./np.median(posterior_samples['temperature'])
-	logls[0] = np.median(posterior_samples['logl'])
+	logls[0] = np.mean(posterior_samples['logl'])
 
 	for i in range(len(highTchains)):
 		betas[i+1] = 1./np.median(highTchains[i]['temperature'])
-		logls[i+1] = np.median(highTchains[i]['logl'])
+		logls[i+1] = np.mean(highTchains[i]['logl'])
 
 	inds = np.argsort(betas)[::-1]
 
-- 
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