CITATION.cff

cff-version: 1.2.0
message: "Please cite the following works when using this software."
type: software
authors:
- family-names: "Held"
  given-names: "Alexander"
  orcid: "https://orcid.org/0000-0002-8924-5885"
  affiliation: "University of Wisconsin-Madison"
title: "cabinetry: v0.6.0"
version: 0.6.0
doi: 10.5281/zenodo.4742752
repository-code: "https://github.com/scikit-hep/cabinetry/releases/tag/v0.6.0"
url: "https://cabinetry.readthedocs.io/"
keywords:
  - python
  - fitting
  - physics
  - profile likelihood
license: "BSD-3-Clause"
abstract: |
  Statistical models in [HistFactory](https://cds.cern.ch/record/1456844)
  format can be built by `cabinetry` from instructions in a declarative
  configuration.
  `cabinetry` makes heavy use of [`pyhf`](https://pyhf.readthedocs.io/) for
  statistical inference, and provides additional utilities to help study and
  disseminate fit results.
  This includes commonly used visualizations.
  Due to its modular approach, analyzers are free to use all of `cabinetry`'s
  functionality or only some pieces.
  `cabinetry` can be used for inference and visualization with any
  `pyhf`-compatible model, whether it was built with `cabinetry` or not.
references:
  - type: article
    authors:
    - family-names: "Held"
      given-names: "Alexander"
      orcid: "https://orcid.org/0000-0002-8924-5885"
      affiliation: "New York University"
    - family-names: "Cranmer"
      given-names: "Kyle"
      orcid: "https://orcid.org/0000-0002-5769-7094"
      affiliation: "New York University"
    title: "Building and steering binned template fits with cabinetry"
    doi: 10.1051/epjconf/202125103067
    url: "https://doi.org/10.1051/epjconf/202125103067"
    year: 2021
    publisher:
      name: "EDP Sciences"
    volume: 251
    pages: 03067
    journal: EPJ Web of Web of Conferences