Journal article icon

Journal article

Flavoured jet algorithms: a comparative study

Abstract:
The accurate identification of heavy-flavour jets — those which originate from bottom or charm quarks — is crucial for precision studies of the Standard Model and searches for new physics. However, assigning flavour to jets presents significant challenges, primarily due to issues with infrared and collinear (IRC) safety. This paper aims to address these challenges by evaluating recently-proposed jet algorithms designed to be IRC-safe and applicable in high-precision measurements. We compare these algorithms across benchmark heavy-flavour production processes and kinematic regimes that are relevant for LHC phenomenology. Exploiting both fixed-order calculations in QCD as well as parton shower simulations, we analyse the infrared sensitivity of these new algorithms at different stages of the event evolution and compare to flavour labelling strategies currently adopted by LHC collaborations. The results highlight that, while all algorithms lead to more robust flavour assignments compared to current techniques, they vary in performance depending on the observable and energy regime. The study lays groundwork for robust, flavour-aware jet analyses in current and future collider experiments to maximise the physics potential of experimental data by reducing discrepancies between theoretical and experimental methods.
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1007/jhep09(2025)149

Authors


More by this author
Role:
Author
ORCID:
0000-0002-9092-0841
More by this author
Role:
Author
ORCID:
0000-0002-2051-0361
More by this author
Role:
Author
ORCID:
0000-0002-8506-274X
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Theoretical Physics
Role:
Author
ORCID:
0009-0007-1845-0762
More by this author
Role:
Author
ORCID:
0000-0002-2633-4696


Publisher:
Springer
Journal:
Journal of High Energy Physics More from this journal
Volume:
2025
Issue:
9
Article number:
149
Publication date:
2025-09-17
Acceptance date:
2025-08-19
DOI:
EISSN:
1029-8479
ISSN:
1126-6708


Language:
English
Keywords:
Source identifiers:
3300531
Deposit date:
2025-09-20
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

Terms of use



Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP