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Binned ML fit in place

Past due by over 1 year 0% complete

Binned maximum-likelihood fits; requirements:

  • viz per-fit plot
  • objects with IO methods
  • templates must be normalised
  • check templates and data exist
  • viz with pull
  • persist results
  • minimise likelihood in pyhf

Binned maximum-likelihood fits; requirements:

  • viz per-fit plot
  • objects with IO methods
  • templates must be normalised
  • check templates and data exist
  • viz with pull
  • persist results
  • minimise likelihood in pyhf
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