Speakers
Matthew Feickert
(Univ. Illinois at Urbana Champaign (US))
Lukas Alexander Heinrich
(CERN)
Giordon Holtsberg Stark
(University of California,Santa Cruz (US))
Description
The HistFactory p.d.f. template CERN-OPEN-2012-016 is per-se independent of its implementation in ROOT and sometimes, it’s useful to be able to run statistical analysis outside of ROOT, RooFit, RooStats framework. This tutorial will introduce users (who are generally familiar with hypothesis testing) to the pyhf python package. Examples using public HEPData material will be used for asymptotic fits, brazil bands, and pull plots. By the end of the tutorial, users will understand how to find likelihoods on HEPData, how to download and perform hypothesis testing, how to patch in a signal into a background-only pdf, and how to simplify likelihoods.
Primary authors
Matthew Feickert
(Univ. Illinois at Urbana Champaign (US))
Lukas Alexander Heinrich
(CERN)
Giordon Holtsberg Stark
(University of California,Santa Cruz (US))
