https://doi.org/10.1140/epjc/s10052-022-10221-3
Regular Article - Theoretical Physics
Taming modeling uncertainties with mass unspecific supervised tagging
Instituto de Física Teórica UAM-CSIC, Campus de Cantoblanco, 28049, Madrid, Spain
Received:
8
February
2022
Accepted:
13
March
2022
Published online:
29
March
2022
We address the modeling dependence of jet taggers built using the method of mass unspecific supervised tagging, by using two different parton showering and hadronisation schemes. We find that the modeling dependence of the results – estimated by using different schemes in the design of the taggers and applying them to the same type of data – is rather small, even if the jet substructure varies significantly between the two schemes. These results add great value to the use of generic supervised taggers for new physics searches.
© The Author(s) 2022
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Funded by SCOAP3
