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A ternary approach to the four top quark discovery at LHC

A ternary approach to the four top quark discovery at LHC

Robert Schöfbeck (ORCID: 0000-0002-2332-8784)
  • Grant DOI 10.55776/I5687
  • Funding program Principal Investigator Projects International
  • Status ongoing
  • Start September 1, 2022
  • End August 31, 2026
  • Funding amount € 325,693
  • Project website

Weave: Österreich - Belgien - Deutschland - Luxemburg - Polen - Schweiz - Slowenien - Tschechien

Disciplines

Physics, Astronomy (100%)

Keywords

    LHC, CMS, Top Quark, Four Top, Effective field theory, Machine Learning

Abstract

Since the start of the Large Hadron Collider (LHC) at 13 TeV, the CMS experiment recorded a proton- proton collisions data set amounting to 150/fb. The heaviest known elementary particle of the standard model, the top quark, has been observed again, and first measurements of its properties enter the precision regime. With the next run of the LHC the data set will at least double, allowing for the discovery of an extremely rare process, the production of four top quarks. For this extraordinary opportunity, three teams join forces to tackle the formidable challenges. Two experimental teams focus on extracting every last bit of information from the events using novel machine learning tools. The goal is to optimally reduce fiendishly difficult backgrounds that can mimic the signal events. Building on year-long expertise, the HEPHY team (ÖAW) targets the events with up to one lepton, while the UGent (BE) team focuses on events with two or more leptons. But events with four top quarks have further peculiar properties. They depend sensitively on many hypothetical deviations from the standard model of particle physics. Exploiting this dependence is the goal of the third team at UNIGE (CH). Small deviations in the decay products` kinematic properties are used to confront the big questions of particle physics. Is the standard model valid after all, or do we have to replace it with something new? Beyond this, a discovery of the four-top process with more than 5 sigma, the conventional gold standard in particle physics, will be a landmark achievement for the CMS experiment and the LHC.

Research institution(s)
  • Österreichische Akademie der Wissenschaften - 100%

Research Output

  • 31 Citations
  • 10 Publications
  • 1 Software
  • 1 Disseminations
  • 1 Scientific Awards
  • 1 Fundings
Publications
  • 2025
    Title Review of top quark mass measurements in CMS
    DOI 10.1016/j.physrep.2024.12.002
    Type Journal Article
    Author Collaboration C
    Journal Physics Reports
    Pages 116-218
    Link Publication
  • 2025
    Title Using the W Boson as a Standard Candle to Reach the Top: Calibrating Energy-Correlator-Based Top Mass Measurements
    DOI 10.1103/j4sp-fcmd
    Type Journal Article
    Author Holguin J
    Journal Physical Review Letters
    Pages 231903
    Link Publication
  • 2025
    Title Top quark mass extractions from energy correlators: a feasibility study
    DOI 10.1007/jhep04(2025)072
    Type Journal Article
    Author Holguin J
    Journal Journal of High Energy Physics
    Pages 72
    Link Publication
  • 2025
    Title Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties
    DOI 10.1103/zwzt-1rrw
    Type Journal Article
    Author Benato L
    Journal Physical Review D
    Pages 052006
    Link Publication
  • 2025
    Title Probing the flavour structure of dimension-6 EFT operators in multilepton final states
    Type Journal Article
    Author Cms Collaboration
    Journal CERN CDS
    Link Publication
  • 2022
    Title Tree boosting for learning EFT parameters
    DOI 10.1016/j.cpc.2022.108385
    Type Journal Article
    Author Chatterjee S
    Journal Computer Physics Communications
    Pages 108385
    Link Publication
  • 2024
    Title Systematic Analysis of a Top Quark Mass Measurement using Energy Correlators
    DOI 10.34726/hss.2024.124666
    Type Other
    Author Kettner M
    Link Publication
  • 2024
    Title Rotation-equivariant graph neural network for learning hadronic SMEFT effects
    DOI 10.1103/physrevd.109.076012
    Type Journal Article
    Author Chatterjee S
    Journal Physical Review D
    Pages 076012
    Link Publication
  • 2024
    Title A rotation-equivariant graph neural network for learning hadronic SMEFT effects
    DOI 10.48550/arxiv.2401.10323
    Type Preprint
    Author Chatterjee S
  • 2023
    Title Measurement of the differential tt production cross section as a function of the jet mass and extraction of the top quark mass in hadronic decays of boosted top quarks.
    DOI 10.1140/epjc/s10052-023-11587-8
    Type Journal Article
    Author Adam W
    Journal The European physical journal. C, Particles and fields
    Pages 560
Software
  • 2025 Link
    Title GOLLUM
    Link Link
Disseminations
  • 2025 Link
    Title The flavour of new physics
    Type Engagement focused website, blog or social media channel
    Link Link
Scientific Awards
  • 2025
    Title Winner of the FAIR Universe - HiggsML Uncertainty Challenge (USD2000)
    Type Research prize
    Level of Recognition Continental/International
Fundings
  • 2025
    Title Hochpräzise Top Quark Masse mit Energiekorrelatoren
    Type Research grant (including intramural programme)
    DOI 10.55776/pat2312224
    Start of Funding 2025

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