TY  - CONF
AU  - Sanjrani, Muhammad Shahzad
AU  - Blekman, Freya
AU  - Goldstein, Joel
TI  - Search for new physics in all-hadronic tttt using ML with the CMS experiment
M1  - PUBDB-2025-05555
PY  - 2025
AB  - 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. 
T2  - DPG Spring Meeting (German Physical Society)
CY  - 31 Mar 2025 - 4 Apr 2025, Göttingen (Germany)
Y2  - 31 Mar 2025 - 4 Apr 2025
M2  - Göttingen, Germany
LB  - PUB:(DE-HGF)6
UR  - https://bib-pubdb1.desy.de/record/642404
ER  -