The Lund jet plane
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13130_2018_Article_9578.pdf
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1.98 MB
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18e53af1b077e13ec33be732c0a1225a
Author(s) • •
Soyez, Grégory
Salam, Gavin P.
Dreyer, Frederic
Date Issued
December 2018
Journal
Journal of High Energy Physics
Publisher
Springer Berlin Heidelberg
Citation
Dreyer, Frédéric A., et al. “The Lund Jet Plane.” Journal of High Energy Physics, vol. 2018, no. 12, Dec. 2018. © 2018 The Authors
Version
Final published version
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. Keywords: Jets, QCD Phenomenology
MIT Department
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/JHEP12(2018)064