From 8f8d7a5c28c74e70e439518087a279d31cf65fa7 Mon Sep 17 00:00:00 2001
From: Kipp Cannon <kcannon@cita.utoronto.ca>
Date: Mon, 4 Dec 2017 02:09:22 +0900
Subject: [PATCH] inspiral_lr: edit a comment
---
gstlal-inspiral/python/stats/inspiral_lr.py | 18 +++++++++---------
1 file changed, 9 insertions(+), 9 deletions(-)
diff --git a/gstlal-inspiral/python/stats/inspiral_lr.py b/gstlal-inspiral/python/stats/inspiral_lr.py
index cc0f58259e..33870a6ec8 100644
--- a/gstlal-inspiral/python/stats/inspiral_lr.py
+++ b/gstlal-inspiral/python/stats/inspiral_lr.py
@@ -563,15 +563,15 @@ class LnNoiseDensity(LnLRDensity):
# sanity check rates
assert all(triggers_per_second_per_template[instrument] for instrument in snrs), "impossible candidate in %s at %s when rates were %s triggers/s/template" % (", ".join(sorted(snrs)), ", ".join("%s s in %s" % (str(seg[1]), instrument) for instrument, seg in sorted(segments.items())), str(triggers_per_second_per_template))
- # P(t | noise) = (candidates per unit time @ t) / livetime.
- # by not normalizing by the livetime the return value can
- # only ever be proportional to the probability density, but
- # we avoid the problem of the ranking statistic definition
- # changing on-the-fly while running online, allowing
- # candidates collected later to have their ranking
- # statistics compared meaningfully to the values assigned
- # to candidates collected earlier, when the total livetime
- # was smaller.
+ # P(t | noise) = (candidates per unit time @ t) / total
+ # candidates. by not normalizing by the total candidates
+ # the return value can only ever be proportional to the
+ # probability density, but we avoid the problem of the
+ # ranking statistic definition changing on-the-fly while
+ # running online, allowing candidates collected later to
+ # have their ranking statistics compared meaningfully to
+ # the values assigned to candidates collected earlier, when
+ # the total number of candidates was smaller.
lnP = math.log(sum(self.coinc_rates.strict_coinc_rates(**triggers_per_second_per_template).values()) * self.num_templates)
# P(instruments | t, noise)
--
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