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| -rw-r--r-- | figs/fig_generator-times.gplot | 8 | ||||
| -rw-r--r-- | monte-carlo.tex | 7 |
2 files changed, 14 insertions, 1 deletions
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} |