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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},
}