Added Bayes benchmark script #105
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This PR fixes part of #92 by adding the Bayes benchmark script, which calculates the posterior distributions for a two- and three-dimensional example 'from scratch' and compares them to the distributions generated by the nested sampler and DREAM.
The Python script is mostly similar in workflow to the MATLAB one, but the direct calculation of the posterior is vectorised and the module/function docstrings go into a little more detail on what is actually being done, for users who may not be familiar with the basics of Bayesian reflectivity analysis.