Radioactive Decay - Gaussian or Poisson

Click For Summary
SUMMARY

The discussion centers on the comparison between Poisson and Gaussian distributions in the context of radioactive decay probability. It is established that the Poisson distribution is the exact fit for counting the number of decays, particularly when the time interval is small. As the observation time increases, the Gaussian distribution may approximate the Poisson distribution, but it will not accurately represent scenarios with very few events. Thus, for radioactive decay analysis, the Poisson distribution remains the superior choice.

PREREQUISITES
  • Understanding of Poisson distribution and its applications
  • Familiarity with Gaussian distribution and its properties
  • Basic knowledge of radioactive decay processes
  • Statistical analysis skills
NEXT STEPS
  • Study the mathematical derivation of the Gaussian distribution from the Poisson distribution
  • Explore statistical software tools for fitting distributions, such as R or Python's SciPy
  • Investigate real-world applications of Poisson distribution in radioactive decay scenarios
  • Learn about the Central Limit Theorem and its implications for distribution approximation
USEFUL FOR

This discussion is beneficial for statisticians, physicists, and data analysts involved in modeling radioactive decay processes and those interested in the application of statistical distributions in real-world phenomena.

binbagsss
Messages
1,291
Reaction score
12
Radioactive Decay Probability?

Say you are counting the number of decays and the time of observation is varied. I know that as time increases, the Gaussian Distribution becomes a closer fit to the observed probability than when the time interval takes smaller values because the mean count rate increases, but which is the better fit - Poisson or Gaussian?

I expect Poisson disttribution to remain the better fit throughout, as in this situation the Gaussian distribution can be derived from the Poisson?

Thanks
 
Physics news on Phys.org
Yes, the Poisson will always be the exact fit for this. The Gaussian will never give the right shape for very few events.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 11 ·
Replies
11
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 12 ·
Replies
12
Views
4K
Replies
4
Views
2K
  • · Replies 21 ·
Replies
21
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K