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Antonino Ingargiola edited Burst_Variance_Analysis.tex
about 8 years ago
Commit id: 29d31ab39dc81fc43420f1f43caa7908155b9ffe
deletions | additions
diff --git a/Burst_Variance_Analysis.tex b/Burst_Variance_Analysis.tex
index 0647518..568f521 100644
--- a/Burst_Variance_Analysis.tex
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the sub-bursts acceptor counts $n_a$ can be modeled as a binomial-distributed random variable
$N_a \sim \operatorname{B}(n, E)$, where $n$ is the number of photons in each burst chunk and
$E$ is the estimated population FRET efficiency.
Note that we can
replace E with PR, use *PR* in place of *E* since the detected counts are partitioned
between donor and acceptor
channel channels according to a binomial distribution with
a $p$ parameter equal to
PR *PR* (regardless of the molecular FRET
efficiency). efficiency *E*).
The only approximation done here is neglecting the presence background
(a reasonable approximation since the backgrounds counts are in general a
very small fraction of the total counts).