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arXiv:2602.06957·v1·High Energy Physics — Phenomenology

Revisiting the Electroweakino Sector of the Baryon Number Violating MSSM at the HL-LHC with Deep Neural Networks

Rahool Kumar Barman🇯🇵 · Arghya Choudhury🇮🇳 · Subhadeep Sarkar🇮🇳

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Abstract

We study the projected sensitivity of direct electroweakino production at the HL-LHC in a simplified framework with wino-like, mass degenerate and , and a bino-like lightest neutralino , assuming R-parity violating~(RPV) through the baryon number violating and operators. We consider three channels with the RPV operator: mediated , mediated , and mediated . In each channel, we train benchmark-specific multi-layer perceptrons (MLPs), analogous to signal-region classifiers, on the four-momenta of the final state particles along with a small set of higher-level observables to distinguish the signal from the dominant SM backgrounds. We find that the HL-LHC will be able to probe winos up to GeV, GeV, and GeV in the mediated , mediated , and mediated channels, respectively, for GeV, in the presence of couplings, at sensitivity. In case the operator is solely switched on, the projected sensitivity for winos reach up to GeV for mediated and GeV for the mediated channel.

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