activity
20232026
most citedSearches for the BSM scenarios at the LHC using decision tree based machine learning algorithms: A comparative study and review of Random Forest, Adaboost, XGboost and LightGBM frameworks

66 citations · 72 across the 4 of their papers we have counts for

collaborators
Showing 2026Show all

1 paper · 1 filter

hep-ph2026

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

We study the projected sensitivity of direct electroweakino production at the HL-LHC in a simplified framework with wino-like, mass degenerate…