From 71d7e69a293d0d037a6a7b10308ba8d4a072fcf5 Mon Sep 17 00:00:00 2001
From: Jaron Kent-Dobias <jaron@kent-dobias.com>
Date: Tue, 25 Sep 2018 16:43:26 -0400
Subject: tweaks to the figure contrasting reflection distribution efficiency

---
 figs/fig_generator-times.gplot | 8 +++++++-
 monte-carlo.tex                | 7 +++++++
 2 files changed, 14 insertions(+), 1 deletion(-)

diff --git a/figs/fig_generator-times.gplot b/figs/fig_generator-times.gplot
index 34a44fd..57e7036 100644
--- a/figs/fig_generator-times.gplot
+++ b/figs/fig_generator-times.gplot
@@ -9,9 +9,15 @@ dataPlanarPert = "data/correlation-times/planar-pert.dat"
 
 set nokey
 set size ratio 1 / 1.61803398875
+set tmargin 0.01
+set rmargin 0.05
+set lmargin 5.5
 
 set xlabel '$|H|$'
-set ylabel "$\\avg{s_{\\text{\\sc 1c}}}\\tau$"
+set ylabel "$\\avg{s_{\\text{\\sc 1c}}}\\tau$" offset 2, 0
+
+set xrange [0.00000008:3000]
+set yrange [40:3000]
 
 set format x '$10^{%T}$'
 
diff --git a/monte-carlo.tex b/monte-carlo.tex
index a3e18a4..57f3859 100644
--- a/monte-carlo.tex
+++ b/monte-carlo.tex
@@ -543,6 +543,13 @@ conjecture.
 
 \begin{figure}
   \include{fig_generator-times}
+  \caption{
+    The scaled correlation time of the Wolff algorithm for a $32\times32$ O(2)
+    model as a function of applied vector field magnitude $|H|$. The red line
+    represents reflections sampled from a uniform distribution on $S^1$,
+    while the green line represents reflections sampled as described in
+    section \ref{sec:examples:on}.
+  }
 \end{figure}
 
 \section{Applying Nonlinear Fields to the xy Model}
-- 
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