Poisson distribution (radioactive decay)

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Homework Help Overview

The discussion revolves around fitting experimental data from a radioactive decay lab to a Poisson distribution using MATLAB. The original poster expresses confusion regarding the behavior of the probability function derived from the Poisson distribution.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to plot the function P(k) = e^-λ * λ^K/K! and questions why the graph does not exhibit the expected curvature. Some participants clarify the role of the exponential term and its impact on the distribution's behavior for varying values of λ.

Discussion Status

Participants have provided insights into the nature of the Poisson distribution and the importance of the exponential decay term. There is acknowledgment of a coding issue that affected the original poster's results, leading to a productive direction in troubleshooting.

Contextual Notes

There is mention of potential confusion regarding the parameters used in the equations and the interpretation of the Poisson distribution in the context of the lab data. The original poster's experience as a freshman in physics may also influence their understanding of the concepts discussed.

steamyoshi
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Homework Statement


I am a freshman in physics, just done a lab about radioactive decay.
I've measured the # of beta particles per second 400 times and got the frequency of each number K using Excel.
I'm supposed to take the data and fit it to a puason distribution in MATlab.
The data points themselves seem to be on a nice curve.
The problem I'm having is that the equation for the probability doesn't seem to curve at all.

Homework Equations


Puason distribution in radioactive decay: the chance that K beta particles will be detected in 1 second is
P(k) = e^-λ * λ^K/K!


The Attempt at a Solution


I've made an excel chart which shows λ^K/K! for many different K values, and then tweaked the lambda value.
For all the values of λ I've tried, λ^K/K! always increases for increasing values of K, meaning the graph never curves back down. What am I doing wrong?
 
Last edited:
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Puason distribution in radioactive decay: the chance that K beta particles will be detected in 1 second is
P(k) = e^-λ * λ^K/K!
... that would be poisson distribution, like the fish.
Careful to keep the same variables through your expressions.

$$P(k)=\frac{\lambda^k e^{-k}}{k!}$$

I've made an excel chart which shows λ^K/K! for many different K values, and then tweaked the lambda value.
For all the values of λ I've tried, λ^K/K! always increases for increasing values of K, meaning the graph never curves back down. What am I doing wrong?
##\lambda^k/k!## does increase for positive k, if ##\lambda > 1##but the poisson distribution function has a negative exponential in it which makes it converge for large k.
 
Last edited:
I'm sorry, I don't understand why e is ^-k, all the formulae I've found have e^-λ, which is a constant
thanks for the reply
 
That's because I'm an idiot... I should know better than to answer questions at 2am.
concentrating:

When I plot P vs k, I get a decreasing exponential for small values of lambda, and an approximate gaussian for large values of lambda.

You probably have a mistake in your code.
Check - sounds like a misplaced minus sign.

Time for bed.
 
Thanks, it WAS a code problem.
 
No worries.
And I got to demonstrate not to be afraid of making dumb mistakes too :)
 

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