Better Model for Radioactive Decay

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Discussion Overview

The discussion revolves around modeling radioactive decay, particularly focusing on the behavior of decay events over small time intervals. Participants explore the relationship between decay constants, half-lives, and the statistical distributions that could describe the number of decay events occurring in short periods.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested

Main Points Raised

  • One participant proposes a model for radioactive decay that allows for multiple decay events in small time intervals, suggesting the need for a probability distribution with a mean of 1/3.
  • Another participant suggests that Poisson statistics may adequately describe the decay process, indicating that many processes can be modeled using this approach.
  • A further reply supports the use of Poisson statistics, stating that the exponential distribution can be viewed as the large-N limit of the Poisson distribution.
  • Another participant asserts that the decay process follows a Poisson distribution, linking it to the ratio of current radioactive atoms to the original number.

Areas of Agreement / Disagreement

Participants generally agree on the applicability of Poisson statistics to model radioactive decay, though the initial proposal for a different distribution remains unaddressed and unresolved.

Contextual Notes

The discussion does not clarify the specific assumptions or conditions under which the proposed models apply, nor does it resolve the details of the distribution for the given isotope and mode of decay.

Who May Find This Useful

Researchers and students interested in statistical modeling of radioactive decay processes, as well as those exploring the implications of different statistical distributions in physics.

MisterX
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For the basic model for exponential decay, there is a decay constant, which is related to the half-life. The decay constant multiplied by the number of particles should give the decay rate per second (activity). However, the model I want is for small periods of time. For a small enough period of time, I can come to some conclusion like on average, there is 1/3 radiation event per period. The desired model will have the possibility for more than one event per period, even in this situation. So I could take a random nonnegative integer with probability distribution having 1/3 mean. But how do I find out what the distribution is? One thing that is apparent is there should be zero* probability of negative events. However the probability of any postitive number events it seems, would be nonzero. Thus, distribution would be asymmetric. Would you be able to point me to a model or a way to look up the distribution for a given isotope and mode of decay?*assuming the reverse reaction is treated probability
 
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I think that Poisson statistics describe these sort of problems quite well. I know that a lot of processes are well described using Poisson.
 
The decay process has a Poisson distribution. The exponential that is used is the mean of the ratio of the current number of radioactive atoms to the original number.
 

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