From b34df9c6af0a1e91f4b7d80a78848a08c7b92e2e Mon Sep 17 00:00:00 2001
From: Kipp Cannon <kipp.cannon@ligo.org>
Date: Tue, 4 Dec 2018 23:48:23 +0900
Subject: [PATCH] gstlal_inspiral_plotsummary: edit some plot labels
- this code dates from a time when noise alone was what we "expected", now that statement is not true. this patch changes the wording in some plots from "expected" to "noise model" to be more precise
---
gstlal-inspiral/bin/gstlal_inspiral_plotsummary | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/gstlal-inspiral/bin/gstlal_inspiral_plotsummary b/gstlal-inspiral/bin/gstlal_inspiral_plotsummary
index 0bdb89b2bc..0e92b9f999 100755
--- a/gstlal-inspiral/bin/gstlal_inspiral_plotsummary
+++ b/gstlal-inspiral/bin/gstlal_inspiral_plotsummary
@@ -1465,9 +1465,9 @@ def create_rate_vs_lnL_plot(axes, zerolag_stats, fapfar, is_open_box):
#
if is_open_box:
- axes.legend((line5, line1, line4, line3, line2), ("Observed", r"Expected, $\langle N \rangle$", r"$\pm\sqrt{\langle N \rangle}$", r"$\pm 2\sqrt{\langle N \rangle}$", r"$\pm 3\sqrt{\langle N \rangle}$"), loc = "upper right")
+ axes.legend((line5, line1, line4, line3, line2), ("Observed", r"Noise Model, $\langle N \rangle$", r"$\pm\sqrt{\langle N \rangle}$", r"$\pm 2\sqrt{\langle N \rangle}$", r"$\pm 3\sqrt{\langle N \rangle}$"), loc = "upper right")
else:
- axes.legend((line5, line1, line4, line3, line2), (r"Observed (time shifted)", r"Expected, $\langle N \rangle$", r"$\pm\sqrt{\langle N \rangle}$", r"$\pm 2\sqrt{\langle N \rangle}$", r"$\pm 3\sqrt{\langle N \rangle}$"), loc = "upper right")
+ axes.legend((line5, line1, line4, line3, line2), (r"Observed (time shifted)", r"Noise Model, $\langle N \rangle$", r"$\pm\sqrt{\langle N \rangle}$", r"$\pm 2\sqrt{\langle N \rangle}$", r"$\pm 3\sqrt{\langle N \rangle}$"), loc = "upper right")
#
# adjust bounds of plot
@@ -1646,7 +1646,7 @@ WHERE
yield fig, "count_vs_ifar", is_open_box
if ln_likelihood_ratio:
- fig, axes = create_plot(r"$\ln \mathcal{L}$", r"Number of Events $\geq \ln \mathcal{L}$")
+ fig, axes = create_plot(r"$\ln \mathcal{L}$ Threshold", r"Number of Events $\geq \ln \mathcal{L}$")
# ln(L) in ascending order
zerolag_stats = numpy.array(sorted(ln_likelihood_ratio, reverse = True))
create_rate_vs_lnL_plot(axes, zerolag_stats, self.fapfar, is_open_box)
@@ -1657,7 +1657,7 @@ WHERE
yield fig, "count_vs_lr", is_open_box
if self.background_ln_likelihood_ratio:
- fig, axes = create_plot(r"$\ln \mathcal{L}$", r"Number of Events $\geq \ln \mathcal{L}$")
+ fig, axes = create_plot(r"$\ln \mathcal{L}$ Threshold", r"Number of Events $\geq \ln \mathcal{L}$")
axes.semilogy()
background_stats = numpy.array(sorted(self.background_ln_likelihood_ratio, reverse = True))
zerolag_stats = numpy.array(sorted(self.zerolag_ln_likelihood_ratio, reverse = True))
--
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