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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-22 1:56 |
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Conference: Bucharest University Faculty of Physics 2024 Meeting
Section: Theoretical and Computational Physics, High-Energy Physics, Applied Mathematics
Title:
Resonant production of vectorlike quarks at the HL-LHC
Authors:
Ioan M. DINU (1), Ioana DUMINICA (1,2), Adam JINARU (1), Bogdan DOBRESCU (3), Calin ALEXA (1)
*
Affiliation:
1) Particle Physics Department, IFIN-HH, Măgurele, IF 077125, Romania
2) Faculty of Physics, University of Bucharest, Atomiștilor 405, RO-077125, Măgurele, Romania
3) Theoretical Physics Department, Fermilab, Batavia, IL 60510, USA
E-mail
ioana.duminica@cern.ch
Keywords:
Diquark Scalar, Monte Carlo, Machine Learning, HL-LHC
Abstract:
We investigate the potentially observable consequences of resonant production of vectorlike quarks through a diquark scalar, Suu, in proton-proton collisions at the LHC energy. For this study, we consider the vectorlike quark decay into a W+ boson and a b quark, leading to a 6-jet final state. We focus on studying the 7 and 8.5 TeV mass Suu, for 13 and 13.6 TeV LHC, analyzing its signature particularly through the ATLAS and CMS detectors. Based on comprehensive Monte Carlo (MC) simulations, we developed a dedicated Machine Learning (ML) algorithm for separating signal events from the associated background. Three different models are described (Boosted Decision Tree, Random Forest and Neural Networks), choosing the most efficient one. We show that the background can be reduced to a negligible level by choosing high-purity working points. A signal-background discriminant is defined based on all variables used in the ML algorithm.
References:
[1] Bogdan A. Dobrescu, Robert M. Harris, Joshua Isaacson, Ultraheavy resonances at the LHC: beyond the QCD background, (2018) arXiv:1810.09429v1 [hep-ph].
[2] Bogdan A. Dobrescu, LHC probes of the 10 TeV scale, (2019) arXiv:1912.13155v1 [hep-ph].
[3] The CMS Collaboration, Search for resonant and nonresonant production of pairs of dijet resonances in proton-proton collisions at s=13 TeV, (2022) arXiv:2206.09997v1 [hep-ex].
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