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: v0.6.1}",
version = {0.6.1},
doi = {10.5281/zenodo.1169739},
url = {https://github.com/scikit-hep/pyhf},
}
@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¶
Updating list of citations and use cases of pyhf
:
Waleed Abdallah and others. Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2. 2020. arXiv:2003.07868.
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.
J. Alison and others. Higgs Boson Pair Production at Colliders: Status and Perspectives. In B. Di Micco, M. Gouzevitch, J. Mazzitelli, and C. Vernieri, editors, Double Higgs Production at Colliders. 9 2019. arXiv:1910.00012.
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. In Topological Effects in the Standard Model: Instantons, Sphalerons and Beyond at LHC. 12 2020. arXiv:2012.09120.
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.
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.
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. 2 2021. arXiv:2102.06176.
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.
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.
Jeffrey Krupa and others. GPU coprocessors as a service for deep learning inference in high energy physics. 7 2020. arXiv:2007.10359.
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.
Published Likelihoods¶
Updating list of HEPData entries for publications using HistFactory
JSON likelihoods:
Search for bottom-squark pair production with the ATLAS detector in final states containing Higgs bosons, $b$-jets and missing transverse momentum. 2019. URL: https://doi.org/10.17182/hepdata.89408, doi:10.17182/hepdata.89408.
Search for chargino-neutralino production with mass splittings near the electroweak scale in three-lepton final states in $\sqrt s$ = 13 TeV $pp$ collisions with the ATLAS detector. 2019. URL: https://doi.org/10.17182/hepdata.91127, doi:10.17182/hepdata.91127.
Search for direct stau production in events with two hadronic τ-leptons in $\sqrt s = 13$ TeV $pp$ collisions with the ATLAS detector. 2019. URL: https://doi.org/10.17182/hepdata.92006, doi:10.17182/hepdata.92006.
Search for direct production of electroweakinos in final states with one lepton, missing transverse momentum and a Higgs boson decaying into two $b$-jets in (pp) collisions at $\sqrt s=13$ TeV with the ATLAS detector. 2020. URL: https://doi.org/10.17182/hepdata.90607.v2, doi:10.17182/hepdata.90607.v2.
Search for displaced leptons in $\sqrt s = 13$ TeV $pp$ collisions with the ATLAS detector. 2020. URL: https://doi.org/10.17182/hepdata.98796, doi:10.17182/hepdata.98796.
Search for squarks and gluinos in final states with same-sign leptons and jets using 139 fb$^-1$ of data collected with the ATLAS detector. 2020. URL: https://doi.org/10.17182/hepdata.91214.v3, doi:10.17182/hepdata.91214.v3.
Search for trilepton resonances from chargino and neutralino pair production in $\sqrt s$ = 13 TeV $pp$ collisions with the ATLAS detector. 2020. URL: https://doi.org/10.17182/hepdata.99806, doi:10.17182/hepdata.99806.