Fat b-jet analyses using old and new clustering algorithms in new Higgs boson searches at the LHC

Autor: A. Chakraborty, S. Dasmahapatra, H. A. Day-Hall, B. Ford, S. Jain, S. Moretti
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: European Physical Journal C: Particles and Fields, Vol 83, Iss 4, Pp 1-10 (2023)
Druh dokumentu: article
ISSN: 1434-6052
DOI: 10.1140/epjc/s10052-023-11537-4
Popis: Abstract We compare different jet-clustering algorithms in establishing fully hadronic final states stemming from the chain decay of a heavy Higgs state into a pair of the 125 GeV Higgs boson that decays into bottom-antibottom quark pairs. Such 4b events typically give rise to boosted topologies, wherein $$b{\bar{b}}$$ b b ¯ pairs emerging from each 125 GeV Higgs boson tend to merge into a single, fat b-jet. Assuming large hadron collider (LHC) settings, we illustrate how both the efficiency of selecting the multi-jet final state and the ability to reconstruct from it the masses of all Higgs bosons depend on the choice of jet-clustering algorithm and its parameter settings. We indicate the optimal choice of clustering method for the purpose of establishing such a ubiquitous beyond the SM (BSM) signal, illustrated via a Type-II 2-Higgs Doublet Model (2HDM).
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