Presentation Open Access

pyhf: a pure Python statistical fitting library with tensors and autograd

Feickert, Matthew

pyhf is a pure-Python implementation of the HistFactory statistical model for multi-bin histogram-based analysis with asymptotic interval estimation, and part of the Scikit-HEP project ecosystem. pyhf supports modern computational graph libraries as computational backends in order to make use of features such as auto-differentiation and GPU acceleration. Additionally, the statistical models are defined in a declarative JSON schema, readily enabling preservation and distribution through services such as the Durham High-Energy Physics Database (HEPData).

Files (26.1 MB)
Name Size
pyhf-talk-scipy2020.pdf
md5:c3aa4d7a2e5af7d631ef5a4e8e5e593e
26.1 MB Download
7,813
150
views
downloads
Views 7,813
Downloads 150
Data volume 3.9 GB
Unique views 7,681
Unique downloads 138

Share

Cite as