STD of Poisson distributed particle intensity

AI Thread Summary
The discussion revolves around calculating the standard deviation of the intensity I of detected alpha particles, which follows a Poisson distribution. The standard deviation of I is derived as sqrt(n/t), where n is the number of detected particles and t is the time interval. For the standard deviation of ln I, participants express confusion about using the propagation of error method. It is suggested to apply the propagation of uncertainty formula directly to I = N/t for clarity. Overall, the thread emphasizes understanding the relationship between Poisson distribution and intensity calculations.
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Homework Statement


Say I have a detector that detects alpha-particles of some decay process. Let N be the amount of particles detected and let N be Poisson distributed. If I now define the intensity to be the amount of detected particles per second I = N/t, what would the standard deviation of I be? Also derive the standard deviation of ln I using propagation of error (error in t can be disregarded)..

Homework Equations


Poisson distribution

The Attempt at a Solution


If I let the amount of particles detected in a time interval t be n = μ/t, the probability of detecting x particles is given by the Poisson probability function with mean (parameter) μ = nt. The expectation value is therefore just μ and the std is sqrt(μ) = sqrt(nt). This means that the std for the intensity is sqrt(nt)/t = sqrt(n/t). That's the first part done.

As for the std of ln I, I don't really know what is meant by deriving it using propagation of error or maybe I'm just too tired. Any help is appreciated.
 
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theorem said:
let the amount of particles detected in a time interval t be n = μ/t
Shouldn't this be n = µt?

As for the std of ln I, I don't really know what is meant by deriving it using propagation of error or maybe I'm just too tired. Any help is appreciated.
https://en.wikipedia.org/wiki/Propagation_of_uncertainty#Non-linear_combinations

Instead of defining a new variable µ in part 1, you should try applying the formula above to I = N/t in order to calculate sI in terms of N and t.
 
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