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69 lines (69 loc) · 2.42 KB
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cff-version: 1.2.0
message: "Please cite the following works when using this software."
type: software
authors:
- family-names: "Heinrich"
given-names: "Lukas"
orcid: "https://orcid.org/0000-0002-4048-7584"
affiliation: "Technical University of Munich"
- family-names: "Feickert"
given-names: "Matthew"
orcid: "https://orcid.org/0000-0003-4124-7862"
affiliation: "University of Wisconsin-Madison"
- family-names: "Stark"
given-names: "Giordon"
orcid: "https://orcid.org/0000-0001-6616-3433"
affiliation: "SCIPP, University of California, Santa Cruz"
title: "pyhf: v0.7.6"
version: 0.7.6
doi: 10.5281/zenodo.1169739
repository-code: "https://github.com/scikit-hep/pyhf/releases/tag/v0.7.6"
url: "https://pyhf.readthedocs.io/en/v0.7.6/"
keywords:
- python
- physics
- statistics
- fitting
- scipy
- numpy
- jax
- auto-differentiation
license: "Apache-2.0"
abstract: |
The HistFactory p.d.f. template 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". pyhf supports modern
computational graph libraries such as JAX in order to make use of features
such as automatic differentiation and GPU acceleration.
references:
- type: article
authors:
- family-names: "Heinrich"
given-names: "Lukas"
orcid: "https://orcid.org/0000-0002-4048-7584"
affiliation: "CERN"
- family-names: "Feickert"
given-names: "Matthew"
orcid: "https://orcid.org/0000-0003-4124-7862"
affiliation: "University of Illinois at Urbana-Champaign"
- family-names: "Stark"
given-names: "Giordon"
orcid: "https://orcid.org/0000-0001-6616-3433"
affiliation: "SCIPP, University of California, Santa Cruz"
- family-names: "Cranmer"
given-names: "Kyle"
orcid: "https://orcid.org/0000-0002-5769-7094"
affiliation: "New York University"
title: "pyhf: pure-Python implementation of HistFactory statistical models"
doi: 10.21105/joss.02823
url: "https://doi.org/10.21105/joss.02823"
year: 2021
publisher:
name: "The Open Journal"
volume: 6
number: 58
pages: 2823
journal: Journal of Open Source Software