deletions | additions       diff --git a/Burst_Variance_Analysis.tex b/Burst_Variance_Analysis.tex  index 1f91744..fd9671a 100644  --- a/Burst_Variance_Analysis.tex  +++ b/Burst_Variance_Analysis.tex 
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This is an approximation because background counts (both from sample and detector's dark counts) add additional variance that is not taken into account. However, the approximation works well in practical cases because the background contribution  is normally a small fraction of the total number of counts (therefore it marginally contributes to the variance).  \begin{equation}  \label{eq:binom_dist}  N_a \sim \operatorname{Binom} \{n, E\}  \end{equation}  \begin{equation}  \label{eq:binom_std}  \operatorname{Std(\textit{E})} = {\sqrt{\frac{E(1 - E)}{n}}}