deletions | additions       diff --git a/Burst_Weights_Theory.tex b/Burst_Weights_Theory.tex  index 0aa53e4..2f71d55 100644  --- a/Burst_Weights_Theory.tex  +++ b/Burst_Weights_Theory.tex 
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\subsubsection{Experiments}  Figure X show a comparison of a FRET histogram obtained from the same burst  with and without weights. The burst selection is obtained applying a burst size  of threshold of 20 counts, 10 counts (after background correction),  in order to filter the extreme low-end of the burst size distribution which include background bursts. distribution.  The use of size-weighted FRET histograms allows is a simple way  to obtain a minimal with representation  ofthe various  FRET peaks without distribution that is optimal (in the sense of not discarding information) while removing  the need of using a manually adjusted high threshold for burst selection.While an increase in the selection threshold  reduces the shot-noise of the residual population it also discards the useful   information of low and medium size bursts. Necessarly, an unweighted histograms  with high selection threshold will exhibit an higher statistical noise  (due to the reduced number of bursts) compared to the size-weighted histogram  obtained using a low threshold.  statistical variance