Umami: A Python toolkit for jet flavour tagging

Python Submitted 22 August 2023Published 08 October 2024
Review

Editor: @matthewfeickert (all papers)
Reviewers: @jpata (all reviews), @hqucms (all reviews)

Authors

Jackson Barr (0000-0002-9752-9204), Joschka Birk (0000-0002-1931-0127), Maxence Draguet (0000-0003-1530-0519), Stefano Franchellucci (0000-0003-0695-0798), Alexander Froch (0000-0002-8259-2622), Philipp Gadow (0000-0003-4475-6734), Daniel Hay Guest (0000-0002-4305-2295), Manuel Guth (0000-0002-6647-1433), Nicole Michelle Hartman (0000-0001-9111-4916), Michael Kagan (0000-0002-3386-6869), Osama Karkout (0000-0002-4907-9499), Dmitrii Kobylianskii (0009-0002-0070-5900), Ivan Oleksiyuk (0000-0002-4784-6340), Nikita Ivvan Pond (0000-0002-5966-0332), Frederic Renner (0000-0002-9475-3075), Sebastien Rettie (0000-0002-7092-3893), Victor Hugo Ruelas Rivera (0000-0002-2116-048X), Tomke Schröer (0000-0001-7967-6385), Martino Tanasini (0000-0002-6313-4175), Samuel Van Stroud (0000-0002-7969-0301), Janik Von Ahnen (0000-0003-4032-0079)

Citation

Barr et al., (2024). Umami: A Python toolkit for jet flavour tagging. Journal of Open Source Software, 9(102), 5833, https://doi.org/10.21105/joss.05833

@article{Barr2024, doi = {10.21105/joss.05833}, url = {https://doi.org/10.21105/joss.05833}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {102}, pages = {5833}, author = {Barr, Jackson and Birk, Joschka and Draguet, Maxence and Franchellucci, Stefano and Froch, Alexander and Gadow, Philipp and Guest, Daniel Hay and Guth, Manuel and Hartman, Nicole Michelle and Kagan, Michael and Karkout, Osama and Kobylianskii, Dmitrii and Oleksiyuk, Ivan and Pond, Nikita Ivvan and Renner, Frederic and Rettie, Sebastien and Rivera, Victor Hugo Ruelas and Schröer, Tomke and Tanasini, Martino and Van Stroud, Samuel and Von Ahnen, Janik}, title = {Umami: A Python toolkit for jet flavour tagging}, journal = {Journal of Open Source Software} }
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Dockerfile high energy physics jet physics flavour tagging machine learning

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ISSN 2475-9066