activity
20162026
most citedMachine Learning and LHC Event Generation

113 citations · 510 across the 31 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

hep-ph2020★ 26 cited

Status of low mass LSP in SUSY

Rahool Kumar Barman, Genevieve Belanger, Rohini M. Godbole

In this article we review the case for a light () neutralino and sneutrino being a viable Dark Matter (DM) candidate in Supersymmetry(SUSY). To that end we recapit…

hep-ph2020★ 14 cited

Di-Higgs resonance searches in weak boson fusion

Rahool Kumar Barman, Christoph Englert, Dorival Gonçalves +1

The search for di-Higgs final states is typically limited at the LHC to the dominant gluon fusion channels, with weak boson fusion only assuming a spectator role. In this work, we…

hep-ph2020★ 13 cited

Prospects of non-resonant di-Higgs searches and Higgs boson self-coupling measurement at the HE-LHC using machine learning techniques

Amit Adhikary, Rahool Kumar Barman, Biplob Bhattacherjee

The prospects of observing the non-resonant di-Higgs production in the Standard Model at the proposed high energy upgrade of the LHC, the HE-LHC( a…

hep-ph2020★ 18 cited

Current bounds and future prospects of light neutralino dark matter in NMSSM

Rahool Kumar Barman, Genevieve Bélanger, Biplob Bhattacherjee +3

Unlike its minimal counterpart, the Next to Minimal supersymmetric Standard Model (NMSSM) allows the possibility that the lightest neutralino could have a mass as small as $\sim 1…

hep-ph2020★ 15 cited

Electroweakino searches at the HL-LHC in the baryon number violating MSSM

Rahool Kumar Barman, Biplob Bhattacherjee, Indrani Chakraborty +2

The projected reach of direct electroweakino searches at the HL-LHC ( LHC) in the framework of simplified models with R-parity violating…