Algorithmic model for primary decay chains

  • #1
Summary:
Has there been written an algorithmic model in which you put in A and Z integers and it predicts the whole decay chain of isotopes.
I have seen "radioactivedecay.py" python library which employs measured experimental data for its calculations. I have seen models that solve the system of differential equation with numerical algorithms to predict the proportion of nuclides at any given time. But I have yet to see a computational algorithmic model which predicts the whole decay chain (half lives/##\lambda## are optional). Does such a model exist? Is it possible for it to exist?

What I have in mind is a piece of code to which you input only the value of A and Z and it shows you in a graphic or as a list/array all the primary isotopes and modes of decay of the isotope. After this we could add complexity to it and try to predict the probability of all the possible decay chains. We could then try to compare it with the experimental data we have.

I have no idea if every algorithm imaginable can be turned into an equation or not but if there is a class which can and we implement it using that class and then turn it into an equation and it simplifies to something more elegant than what we have today. It would be epic. What do you think of this idea? Has it been already done? Is it impossible? Does the changing into an equation an impossible task?

Googling has resulted in inconclusive results so this is my last hope. Thank You very much.
 

Answers and Replies

  • #2
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Do you want an ab-initio prediction for all the decay modes? That won't be accurate. You need experimental data.
 

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