Unsupervised hadronic SUEP at the LHC

• Verfasst von: Barron, Jared [VerfasserIn]
• Verfasst von: Curtin, David [VerfasserIn]
• Verfasst von: Kasieczka, Gregor [VerfasserIn]
• Verfasst von: Plehn, Tilman [VerfasserIn]
• Verfasst von: Spourdalakis, Aris [VerfasserIn]
• Titel: Unsupervised hadronic SUEP at the LHC
• Verf.angabe: Jared Barron, David Curtin, Gregor Kasieczka, Tilman Plehn, Aris Spourdalakis
• E-Jahr: 2021
• Jahr: December 20, 2021
• Umfang: 29 S.
• Fussnoten: Gesehen am 20.01.2021
• Titel Quelle: Enthalten in: Journal of high energy physics
• Ort Quelle: Berlin : Springer, 1997
• Jahr Quelle: 2021
• Band/Heft Quelle: (2021), 12, Artikel-ID 129, Seite 1-29
• ISSN Quelle: 1029-8479
• DOI: doi:10.1007/JHEP12(2021)129
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1786600579

Abstract

Confining dark sectors with pseudo-conformal dynamics produce SUEPs, or Soft Unclustered Energy Patterns, at colliders: isotropic dark hadrons with soft and democratic energies. We target the experimental nightmare scenario, SUEPs in exotic Higgs decays, where all dark hadrons decay promptly to SM hadrons. First, we identify three promising observables: the charged particle multiplicity, the event ring isotropy, and the matrix of geometric distances between charged tracks. Their patterns can be exploited through a cut-and-count search, supervised machine learning, or an unsupervised autoencoder. We find that the HL-LHC will probe exotic Higgs branching ratios at the per-cent level, even without a detailed knowledge of the signal features. Our techniques can be applied to other SUEP searches, especially the unsupervised strategy, which is independent of overly specific model assumptions and the corresponding precision simulations.