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integrate maximum likelihood point capabilities #317

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lukashergt opened this issue Jul 19, 2023 · 0 comments
Open

integrate maximum likelihood point capabilities #317

lukashergt opened this issue Jul 19, 2023 · 0 comments

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@lukashergt
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Some samplers (e.g. PolyChord) have settings that allow you to find the maximum likelihood point at the end of a run. It would be nice to incorporate that piece of information somehow into anesthetic.

This initially came up in #313 (comment).

Things worth considering:

  • Is there a way of turning this maximum likelihood point into a final nested samples point (with a non-zero weight)?
  • Alternatively, would it be simples to add it as a zero weight point?
  • Could it be added with logL=max(logL) and logL_birth=max(logL)? Would that correctly determine the weight to be zero or nan?
  • In how far would this need to be handled differently between MCMCSamples and NestedSamples?
@lukashergt lukashergt mentioned this issue Jul 19, 2023
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