diff --git a/Documentation/Doc.idx b/Documentation/Doc.idx
index dfa401cd7..ed8fc8722 100644
--- a/Documentation/Doc.idx
+++ b/Documentation/Doc.idx
@@ -1,14 +1,14 @@
-\indexentry{\texttt{Checkerboard}}{25}
+\indexentry{\texttt{Checkerboard}}{24}
+\indexentry{\texttt{Symm}}{25}
 \indexentry{\texttt{Symm}}{26}
-\indexentry{\texttt{Symm}}{27}
-\indexentry{\texttt{Symm}}{27}
-\indexentry{\texttt{Precision Green} }{30}
-\indexentry{\texttt{Precision Phase}}{30}
-\indexentry{\path{NWrap}}{30}
-\indexentry{\texttt{Square} }{76}
-\indexentry{\path{Bilayer_square}}{77}
-\indexentry{\path{N_leg_ladder}}{77}
-\indexentry{\path{Honeycomb}}{77}
-\indexentry{\texttt{Bilayer\_honeycomb}}{77}
-\indexentry{\texttt{Triangular}}{78}
-\indexentry{\texttt{Kagome}}{78}
+\indexentry{\texttt{Symm}}{26}
+\indexentry{\texttt{Precision Green} }{29}
+\indexentry{\texttt{Precision Phase}}{29}
+\indexentry{\path{NWrap}}{29}
+\indexentry{\texttt{Square} }{77}
+\indexentry{\path{Bilayer_square}}{78}
+\indexentry{\path{N_leg_ladder}}{78}
+\indexentry{\path{Honeycomb}}{78}
+\indexentry{\texttt{Bilayer\_honeycomb}}{78}
+\indexentry{\texttt{Triangular}}{79}
+\indexentry{\texttt{Kagome}}{79}
diff --git a/Documentation/doc.pdf b/Documentation/doc.pdf
index 795b84519..ad103d82f 100644
Binary files a/Documentation/doc.pdf and b/Documentation/doc.pdf differ
diff --git a/Documentation/sampling.tex b/Documentation/sampling.tex
index 8eafe4f1e..064e09d82 100644
--- a/Documentation/sampling.tex
+++ b/Documentation/sampling.tex
@@ -74,7 +74,7 @@ \subsection{An explicit example of error estimation}\label{sec:autocorr}
 In order to determine the autocorrelation time, we calculate the correlation function
 \begin{equation}
 \label{eqn:autocorrel}
-	S_{\hat{O}}(t_{\textrm{Auto}})=\sum_{i=1}^{N_{\textrm{Bin}}-t_{\textrm{Auto}}}\frac{\left(O_i-\left\langle \hat{O}\right\rangle \right)\left(O_{i+t_{\textrm{Auto}}}-\left\langle \hat{O}\right\rangle \right)}{\left(O_i-\left\langle \hat{O}\right\rangle \right)\left(O_{i}-\left\langle \hat{O}\right\rangle \right)}\, ,
+	S_{\hat{O}}(t_{\textrm{Auto}})=\frac{\sum_{i=1}^{N_{\textrm{Bin}}-t_{\textrm{Auto}}}\left(O_i-\left\langle \hat{O}\right\rangle \right)\left(O_{i+t_{\textrm{Auto}}}-\left\langle \hat{O}\right\rangle \right)}{\sum_{i=1}^{N_{\textrm{Bin}}-t_{\textrm{Auto}}}\left(O_i-\left\langle \hat{O}\right\rangle \right)\left(O_{i}-\left\langle \hat{O}\right\rangle \right)}\, ,
 \end{equation}
 where $O_i$ refers to the Monte Carlo estimate of the observable $\hat{O}$ in the $i^{\text{th}}$ bin. This function typically shows an exponential decay and the decay rate defines the autocorrelation time.
 %