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@INPROCEEDINGS{Sanjrani:642404,
      author       = {Sanjrani, Muhammad Shahzad and Blekman, Freya and
                      Goldstein, Joel},
      title        = {{S}earch for new physics in all-hadronic tttt using {ML}
                      with the {CMS} experiment},
      reportid     = {PUBDB-2025-05555},
      year         = {2025},
      abstract     = {There is current interest in searching for beyond the
                      standard model particles produced in association with a top
                      quark pair, tt + X(X→ t t). This project focuses on a
                      top-philic Z* resonance model that may significantly enhance
                      the tttt cross section. The all-hadronic channel is explored
                      in the resolved regime using a novel machine learning
                      algorithm, SPA-Net, which performs permutation-invariant
                      jet-parton assignment to reconstruct events. This talk
                      presents initial limits using this network to discriminate
                      signal against large QCD multijet- and tt-dominated
                      backgrounds. Studies shown use Monte Carlo simulations of
                      proton-proton collision data gathered by the CMS detector at
                      the LHC.},
      month         = {Mar},
      date          = {2025-03-31},
      organization  = {DPG Spring Meeting (German Physical
                       Society), Göttingen (Germany), 31 Mar
                       2025 - 4 Apr 2025},
      cin          = {CMS},
      cid          = {I:(DE-H253)CMS-20120731},
      pnm          = {611 - Fundamental Particles and Forces (POF4-611)},
      pid          = {G:(DE-HGF)POF4-611},
      experiment   = {EXP:(DE-H253)LHC-Exp-CMS-20150101},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://bib-pubdb1.desy.de/record/642404},
}