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 = {Jackson Barr and Joschka Birk and Maxence Draguet and Stefano Franchellucci and Alexander Froch and Philipp Gadow and Daniel Hay Guest and Manuel Guth and Nicole Michelle Hartman and Michael Kagan and Osama Karkout and Dmitrii Kobylianskii and Ivan Oleksiyuk and Nikita Ivvan Pond and Frederic Renner and Sebastien Rettie and Victor Hugo Ruelas Rivera and Tomke Schröer and Martino Tanasini and Samuel Van Stroud and Janik Von Ahnen}, title = {Umami: A Python toolkit for jet flavour tagging}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Dockerfile high energy physics jet physics flavour tagging machine learning

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066