Journal article
The Lund jet plane
- Abstract:
- Lund diagrams, a theoretical representation of the phase space within jets, have long been used in discussing parton showers and resummations. We point out that they can be created for individual jets through repeated Cambridge/Aachen declustering, providing a powerful visual representation of the radiation within any given jet. Concentrating here on the primary Lund plane, we outline some of its analytical properties, highlight its scope for constraining Monte Carlo simulations and comment on its relation with existing observables such as the zg variable and the iterated soft-drop multiplicity. We then examine its use for boosted electroweak boson tagging at high momenta. It provides good performance when used as an input to machine learning. Much of this performance can be reproduced also within a transparent log-likelihood method, whose underlying assumption is that different regions of the primary Lund plane are largely decorrelated. This suggests a potential for unique insight and experimental validation of the features being used by machine-learning approaches.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 2.0MB, Terms of use)
-
- Publisher copy:
- 10.1007/JHEP12(2018)064
Authors
+ French Agence Nationale de la Recherche
More from this funder
- Funding agency for:
- Salam, G
- Grant:
- ANR-15-CE31-0016
+ Office of
High Energy Physics, U.S. Department of Energy
More from this funder
- Funding agency for:
- Dreyer, F
- Grant:
- DE-SC-0012567
- Publisher:
- Springer Verlag
- Journal:
- Journal of High Energy Physics More from this journal
- Volume:
- 2018
- Issue:
- 64
- Publication date:
- 2018-12-11
- Acceptance date:
- 2018-11-29
- DOI:
- EISSN:
-
1029-8479
- ISSN:
-
1126-6708
- Keywords:
- Pubs id:
-
pubs:948507
- UUID:
-
uuid:0d972a26-2c4e-46bf-a1c4-143d62105108
- Local pid:
-
pubs:948507
- Source identifiers:
-
948507
- Deposit date:
-
2018-11-30
Terms of use
- Copyright holder:
- Dreyer et al
- Copyright date:
- 2018
- Notes:
- © The Authors. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record