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cosmogenic_dating

A few IPython notebooks to show examples of inference of exposure times and erosion rates from measured cosmogenic nuclides concentrations vs. depth.

It compares both Bayesian and Frequentist (Maximum Likelihood Estimation) approachs with different optimization and/or sampling algorithms (grid search, non-linear fitting, MCMC...).

Links to static versions of the notebooks

Maximum Likelihood Estimation w/ Grid Search:

Maximum Likelihood Estimation w/ non-linear fitting:

Bayesian approach w/ MCMC:

Bayesian approach w/ MCMC (more robust, based on emcee:

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Author: B. Bovy

License: MIT (see LICENSE)

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Infer exposure times and erosion rates from measured cosmogenic nuclides concentrations vs. depth

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