Use and Citations

Warning: This is a development version and should not be cited. To find the specific version to cite, please go to ReadTheDocs.

Citation

The preferred BibTeX entry for citation of pyhf includes both the Zenodo archive and the JOSS paper:

@software{pyhf,
  author = {Lukas Heinrich and Matthew Feickert and Giordon Stark},
  title = "{pyhf: v0.6.3}",
  version = {0.6.3},
  doi = {10.5281/zenodo.1169739},
  url = {https://doi.org/10.5281/zenodo.1169739},
  note = {https://github.com/scikit-hep/pyhf/releases/tag/v0.6.3}
}

@article{pyhf_joss,
  doi = {10.21105/joss.02823},
  url = {https://doi.org/10.21105/joss.02823},
  year = {2021},
  publisher = {The Open Journal},
  volume = {6},
  number = {58},
  pages = {2823},
  author = {Lukas Heinrich and Matthew Feickert and Giordon Stark and Kyle Cranmer},
  title = {pyhf: pure-Python implementation of HistFactory statistical models},
  journal = {Journal of Open Source Software}
}

Use in Publications

The following is an updating list of citations and use cases of pyhf. There is an incomplete but automatically updated list of citations on INSPIRE as well.

Use Citations

  • Gaël Alguero, Jan Heisig, Charanjit K. Khosa, Sabine Kraml, Suchita Kulkarni, Andre Lessa, Philipp Neuhuber, Humberto Reyes-González, Wolfgang Waltenberger, and Alicia Wongel. New developments in SModelS. In Tools for High Energy Physics and Cosmology. 12 2020. arXiv:2012.08192.

  • Gaël Alguero, Sabine Kraml, and Wolfgang Waltenberger. A SModelS interface for pyhf likelihoods. Sep 2020. arXiv:2009.01809.

  • B.C. Allanach, Tyler Corbett, and Maeve Madigan. Sensitivity of Future Hadron Colliders to Leptoquark Pair Production in the Di-Muon Di-Jets Channel. Eur. Phys. J. C, 80(2):170, 2020. arXiv:1911.04455, doi:10.1140/epjc/s10052-020-7722-3.

  • Simone Amoroso, Deepak Kar, and Matthias Schott. How to discover QCD Instantons at the LHC. Eur. Phys. J. C, 81(7):624, 2021. arXiv:2012.09120, doi:10.1140/epjc/s10052-021-09412-1.

  • Andrei Angelescu, Damir Bečirević, Darius A. Faroughy, Florentin Jaffredo, and Olcyr Sumensari. On the single leptoquark solutions to the $B$-physics anomalies. 3 2021. arXiv:2103.12504.

  • Andrei Angelescu, Darius A. Faroughy, and Olcyr Sumensari. Lepton Flavor Violation and Dilepton Tails at the LHC. Eur. Phys. J. C, 80(7):641, 2020. arXiv:2002.05684, doi:10.1140/epjc/s10052-020-8210-5.

  • Jack Y. Araz and others. Proceedings of the second MadAnalysis 5 workshop on LHC recasting in Korea. Mod. Phys. Lett. A, 36(01):2102001, 2021. arXiv:2101.02245, doi:10.1142/S0217732321020016.

  • G. Brooijmans and others. Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report. In 2020. arXiv:2002.12220.

  • Rodolfo Capdevilla, Federico Meloni, Rosa Simoniello, and Jose Zurita. Hunting wino and higgsino dark matter at the muon collider with disappearing tracks. 2 2021. arXiv:2102.11292.

  • Vincenzo Cirigliano, Kaori Fuyuto, Christopher Lee, Emanuele Mereghetti, and Bin Yan. Charged Lepton Flavor Violation at the EIC. JHEP, 03:256, 2021. arXiv:2102.06176, doi:10.1007/JHEP03(2021)256.

  • ATLAS Collaboration. Search for chargino–neutralino pair production in final states with three leptons and missing transverse momentum in $\sqrt s = 13$ TeV $pp$ collisions with the ATLAS detector. 6 2021. arXiv:2106.01676.

  • Belle II Collaboration. Search for $B^+ \to K^+ \nu \bar \nu $ decays with an inclusive tagging method at the Belle II experiment. In 55th Rencontres de Moriond on Electroweak Interactions and Unified Theories. 5 2021. arXiv:2105.05754.

  • Belle II Collaboration. Search for $B^+\to K^+\nu \bar \nu $ decays using an inclusive tagging method at Belle II. 4 2021. arXiv:2104.12624.

  • Kyle Cranmer and Alexander Held. Building and steering binned template fits with cabinetry. EPJ Web Conf., 251:03067, 2021. doi:10.1051/epjconf/202125103067.

  • Kyle Cranmer and others. Publishing statistical models: Getting the most out of particle physics experiments. 9 2021. arXiv:2109.04981.

  • Matthew Feickert, Lukas Heinrich, and Giordon Stark. Likelihood preservation and statistical reproduction of searches for new physics. EPJ Web Conf., 2020. doi:10.1051/epjconf/202024506017.

  • Matthew Feickert, Lukas Heinrich, Giordon Stark, and Ben Galewsky. Distributed statistical inference with pyhf enabled through funcX. EPJ Web Conf., 251:02070, 2021. arXiv:2103.02182, doi:10.1051/epjconf/202125102070.

  • Lukas Heinrich, Holger Schulz, Jessica Turner, and Ye-Ling Zhou. Constraining A₄ Leptonic Flavour Model Parameters at Colliders and Beyond. 2018. arXiv:1810.05648.

  • Charanjit K. Khosa, Sabine Kraml, Andre Lessa, Philipp Neuhuber, and Wolfgang Waltenberger. SModelS database update v1.2.3. LHEP, 158:2020, 5 2020. arXiv:2005.00555, doi:10.31526/lhep.2020.158.

  • Wolfgang Waltenberger, André Lessa, and Sabine Kraml. Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results. 12 2020. arXiv:2012.12246.

  • ATLAS Collaboration. Reproducing searches for new physics with the ATLAS experiment through publication of full statistical likelihoods. Geneva, Aug 2019. URL: https://cds.cern.ch/record/2684863.

  • ATLAS Collaboration. Search for new phenomena in events with two opposite-charge leptons, jets and missing transverse momentum in $pp$ collisions at $\sqrt s = 13$ TeV with the ATLAS detector. 2 2021. arXiv:2102.01444.

General Citations

  • Waleed Abdallah and others. Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2. SciPost Phys., 9(2):022, 2020. arXiv:2003.07868, doi:10.21468/SciPostPhys.9.2.022.

  • J. Alison and others. Higgs boson potential at colliders: Status and perspectives. Rev. Phys., 5:100045, 2020. arXiv:1910.00012, doi:10.1016/j.revip.2020.100045.

  • Johann Brehmer, Felix Kling, Irina Espejo, and Kyle Cranmer. MadMiner: Machine learning-based inference for particle physics. Comput. Softw. Big Sci., 4(1):3, 2020. arXiv:1907.10621, doi:10.1007/s41781-020-0035-2.

  • Jeffrey Krupa and others. GPU coprocessors as a service for deep learning inference in high energy physics. 7 2020. arXiv:2007.10359.

  • Jean-Loup Tastet, Oleg Ruchayskiy, and Inar Timiryasov. Reinterpreting the ATLAS bounds on heavy neutral leptons in a realistic neutrino oscillation model. 7 2021. arXiv:2107.12980.

Published Statistical Models

Updating list of HEPData entries for publications using HistFactory JSON statistical models: