Oct 24 – 26, 2018
US/Central timezone

pyhf: pure-Python implementation of HistFactory models with autograd

Oct 26, 2018, 5:35 PM
IARC (Fermilab)



Pine St and Kirk Rd Batavia, Illinois


Matthew Feickert (Southern Methodist University)


The HistFactory p.d.f. template [CERN-OPEN-2012-016] is per-se independent of its implementation in ROOT and it is useful to be able to run statistical analysis outside of the ROOT, RooFit, RooStats framework. pyhf is a pure-python implementation of that statistical model for multi-bin histogram-based analysis and its interval estimation is based on the asymptotic formulas of "Asymptotic formulae for likelihood-based tests of new physics" [arxiv:1007.1727]. pyhf supports modern computational graph libraries such as TensorFlow and PyTorch in order to make use of features such as autodifferentiation and GPU acceleration.

Presentation materials