Quantifying the statistical error in a counting experiment

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SUMMARY

The discussion focuses on quantifying statistical error in a counting experiment involving decay channels A and B. The branching ratio is defined as BR_a = (N_a)/(N_a + N_b), where N_a and N_b represent the counts from each channel. If the experiment is conducted multiple times, the results for BR_a follow a binomial distribution. For a single experiment, N_a and N_b can be treated as independent Poisson processes, and the statistical error can be calculated using the formula N_A + - sqrt{N_A} when the total number of decays is fixed.

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I need to find the statistical error in a counting experiment. Specifically, a decay can proceed via option A or option B and I need to find the branching ratio BR_a=(N_a)/(N_a+N_b). If I were to do this counting experiment multiple times my results for BR_a would follow the binomial distribution since there are two decay channels.

How do I quantify the statistical error in my result given that I conduct the experiment only once?
 
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Do you have a fixed number of decays ("I take data until I have 100 decays in those two channels")?
No => you can treat N_a and N_b as the result of independent Poisson processes.
Yes => the denominator is fixed, and N_a comes from a binomial distribution.
 
The usual statistical error gives N_A+ - sqrt{N_A}.
 

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