Speaker
Description
A search is presented for new physics beyond the standard model, including versions of Supersymmetry characterized by R-parity Violating (RPV) and Stealth SUSY. The result of this search is in events with two top quarks, no extra transverse momentum, and many light flavor jets as a final state of the top squark. The Run2 data used were collected with the CMS detector at the LHC in 2016 to 2018, and correspond to a total integrated luminosity of 137 fb$^{−1}$. The search is performed using events with at least seven jets and exactly one electron or muon. A neural network based on event shape and kinematical variables is used for background discrimination. The method of gradient reversal is used to ensure that the neural network score is independent of jet multiplicity as required by the primary background estimation method. Top squark masses up to 670 (870) GeV are excluded at 95% confidence level for the RPV (stealth) scenario, and the maximum observed local significance is 2.8 standard deviations for the RPV scenario with top squark mass of 400 GeV.
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