19–23 Dec 2024
Swatantrata Bhavan, Banaras Hindu University, Varanasi
Asia/Kolkata timezone

Boosting Electroweakino Searches at the LHC in Baryon Number Violating MSSM using Machine Learning

Not scheduled
20m
Swatantrata Bhavan, Banaras Hindu University, Varanasi

Swatantrata Bhavan, Banaras Hindu University, Varanasi

Department of Physics, I.Sc., Banaras Hindu University, 221005 Varanasi, India
Postar Beyond the standard model

Speaker

Mr Subhadeep Sarkar (Indian Institute of Technology Patna)

Description

Data from LHC Run-I and Run-II have placed strong constraints on the electroweakino masses in R-parity conserved supersymmetric scenarios. However, in R-parity violating (RPV) scenarios, these constraints can vary depending on the specific RPV decay modes of the lightest supersymmetric particles (LSP). In this work, we explore the potential implications of the baryon-number-violating $\lambda_{ijk}^{\prime\prime}U_i^cD_j^cD_k^c$ RPV coupling, that allows the LSP to decay into three quarks, on the chargino-neutralino pair production processes at the High Luminosity LHC ($\sqrt{s}=14$ TeV, $\mathcal{L}=3000~\rm{fb^{-1}}$). We employ Machine Learning techniques to enhance the sensitivity of the search.

Field of contribution Phenomenology

Authors

Dr Rahool Barman (Kavli IPMU (WPI), UTIAS, The University of Tokyo) Dr Arghya Choudhury (Indian Institute of Technology Patna) Mr Subhadeep Sarkar (Indian Institute of Technology Patna)

Presentation materials

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