Göttingen 2025 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 86: Searches/BSM V (Misc.)
T 86.2: Vortrag
Freitag, 4. April 2025, 09:15–09:30, ZHG010
Hunting coloured scalars with machine learning — Thomas Flacke1, Jeong Han Kim2, •Manuel Kunkel3, Jun Seung Pi2, and Werner Porod3 — 1Center for AI and Natural Sciences, KIAS, Seoul, Republic of Korea — 2Department of Physics, Chungbuk National University, Republic of Korea — 3Institut für Theoretische Physik und Astrophysik, Julius-Maximilians-Universität Würzburg, Germany
Composite Higgs models with an underlying fermionic description predict an extended scalar sector featuring also QCD coloured states. We study an electrically neutral colour octet and a colour sextet with charge 4/3. Both states couple to top quarks such that pair production leads to a four top quark signature. We train neural networks to separate these signal processes from their SM backgrounds and derive the discovery reach and expected exclusion limits at the HL-LHC. Since both states may be present simultaneously, we also assess how well the respective events can be separated by our networks.
Keywords: BSM Phenomenology; Composite Higgs; Machine Learning; Search proposal