activity
20162026
most citedMachine Learning and LHC Event Generation

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

collaborators

31 papers

nucl-th2026★ 2 cited

Deformation, halo, and bubble structure: A paradigm shift of exotic phenomena in light to medium mass nuclei

R. Barman, R. Chatterjee, W. Horiuchi +4

The emergence of exotic nuclear structures, such as deformation, one- and two-neutron halos, and bubble configurations, marks a paradigm shift in our understanding of light- to med…

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…

hep-ph2025

Lepton Number Violation at the LHC in Radiative Neutrino Mass Models with Leptoquarks

K. S. Babu, Rahool Kumar Barman, Dorival Gonçalves

We investigate the prospects for observing lepton number violation (LNV) by two units, , at the LHC within the leptoquark variant of the Zee Model, where Majorana neutrin…

hep-ph2025★ 1 cited

Reconstructing Sparticle masses at the LHC using Generative Machine Learning

Rahool Kumar Barman, Arghya Choudhury, Subhadeep Sarkar

We explore a generative model framework to infer the masses of heavy particles from detector-level data over a broad parameter space. Our model combines a transformer-based detecto…

hep-ph2024

Exploring the Singlino-dominated Thermal Neutralino Dark Matter in the invariant NMSSM

Amit Adhikary, Rahool Kumar Barman, Biplob Bhattacherjee +2

We examine the parameter space of the Next to Minimal Supersymmetric Standard Model (NMSSM) with Singlino-dominated neutralino as the lightest supersymmetric part…

hep-ph2024★ 3 cited

Top-philic Machine Learning

Rahool Kumar Barman, Sumit Biswas

In this article, we review the application of modern machine-learning (ML) techniques to boost the search for processes involving the top quarks at the LHC. We revisit the formalis…

hep-ph2024★ 4 cited

Current status of the light neutralino thermal dark matter in the phenomenological MSSM

Rahool Kumar Barman, Genevieve Bélanger, Biplob Bhattacherjee +2

In a previous publication, we studied the parameter space of the phenomenological Minimal Supersymmetric Standard Model (pMSSM) with a light neutralino thermal dark matter ($M_{\ti…

hep-ph2023★ 26 cited

Returning CP-Observables to The Frames They Belong

Jona Ackerschott, Rahool Kumar Barman, Dorival Gonçalves +2

Optimal kinematic observables are often defined in specific frames and then approximated at the reconstruction level. We show how multi-dimensional unfolding methods allow us to re…

hep-ph2022★ 1 cited

Probing Lepton Number Violation and Majorana Nature of Neutrinos at the LHC

K. S. Babu, Rahool Kumar Barman, Dorival Gonçalves +1

Observation of lepton number () violation by two units at colliders would provide evidence for the Majorana nature of neutrinos. We study signals of -violation in the context…

hep-ph2022★ 2 cited

Prospects for exotic decays in single and di-Higgs boson production at the LHC and future hadron colliders

Amit Adhikary, Shankha Banerjee, Rahool Kumar Barman +5

We study the prospects for observing exotic decays of the Standard Model Higgs boson into light beyond the Standard Model scalars with mass in the…

hep-ph2022★ 13 cited

Constraining Lepton Flavor Violating Higgs Couplings at the HL-LHC in the Vector Boson Fusion Channel

Rahool Kumar Barman, P. S. Bhupal Dev, Anil Thapa

We explore the parameter space of lepton flavor violating (LFV) neutral Higgs Yukawa couplings with the muon and tau leptons that can be probed at the high-luminosity Large Hadron…

hep-ph2022★ 20 cited

Report of the Topical Group on Higgs Physics for Snowmass 2021: The Case for Precision Higgs Physics

Sally Dawson, Patrick Meade, Isobel Ojalvo +78

A future Higgs Factory will provide improved precision on measurements of Higgs couplings beyond those obtained by the LHC, and will enable a broad range of investigations across t…

hep-ph2022★ 9 cited

Long live The NMSSM!

Amit Adhikary, Rahool Kumar Barman, Biplob Bhattacherjee +3

We analyze the scenario within the Next to Minimal Supersymmetric Standard Model (NMSSM), where the lightest supersymmetric particle (LSP) is singlino-like neutralino. By systemati…

hep-ph2022★ 3 cited

Is the light neutralino thermal dark matter in the pMSSM ruled out?

Rahool Kumar Barman, Geneviève Bélanger, Biplob Bhattacherjee +2

We explore the parameter space of the phenomenological Minimal Supersymmetric Standard Model (pMSSM) with a light neutralino thermal dark matter () that…

hep-ph2022★ 2 cited

Constraining the top electroweak sector of the SMEFT through associated top pair and single top production at the HL-LHC

Rahool Kumar Barman, Ahmed Ismail

We study the processes and in the framework of Standard Model Effective Field Theory (SMEFT), employing conventional cut-and-count as well as machin…

hep-ex2022★ 7 cited

Snowmass White Paper: Prospects of CP-violation measurements with the Higgs boson at future experiments

A. V. Gritsan, H. Bahl, R. K. Barman +15

The search for CP violation in interactions of the Higgs boson with either fermions or bosons provides attractive reference measurements in the Particle Physics Community Planning…

hep-ph2022★ 4 cited

Directly Probing the CP-structure of the Higgs-Top Yukawa at HL-LHC and Future Colliders

Rahool Kumar Barman, Morgan E. Cassidy, Zhongtian Dong +8

Constraining the Higgs boson properties is a cornerstone of the LHC program and future colliders. In this Snowmass contribution, we study the potential to directly probe the Higgs-…

hep-ph2022★ 113 cited

Machine Learning and LHC Event Generation

Anja Butter, Tilman Plehn, Steffen Schumann +48

First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predicti…

hep-ph2021★ 20 cited

Neutrino masses and magnetic moments of electron and muon in the Zee Model

Rahool Kumar Barman, Ritu Dcruz, Anil Thapa

We explore parameter space in the Zee Model to resolve the long-standing tension of the electron and muon anomalous magnetic moment (AMM). The model comprises a second Higgs double…

hep-ph2021★ 43 cited

Machine learning the Higgs boson-top quark CP phase

Rahool Kumar Barman, Dorival Gonçalves, Felix Kling

We explore the direct Higgs-top CP measurement via the channel at the high-luminosity LHC. We show that a combination of machine learning techniques and efficient…

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…