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20222026
most citedLow-mass doubly-charged Higgs bosons at LHC

18 citations · 33 across the 14 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

hep-ph2024★ 3 cited

Probing sub-TeV Higgsinos aided by a ML-based top tagger in the context of Trilinear RPV SUSY

Rajneil Baruah, Arghya Choudhury, Kirtiman Ghosh +2

Probing higgsinos remains a challenge at the LHC owing to their small production cross-sections and the complexity of the decay modes of the nearly mass degenerate higgsino states.…

hep-ph2024

Revisiting Universal Extra-Dimension Model with Gravity Mediated Decays

Kirtiman Ghosh, Katri Huitu, Rameswar Sahu

We explore the collider phenomenology of the fat-brane realization of the Minimal Universal Extra Dimension (mUED) model, where Standard Model (SM) fields propagate in a small extr…

hep-ph2024

Revisiting the LHC Constraints on Gauge-Mediated Supersymmetry Breaking Scenarios

Kirtiman Ghosh, Katri Huitu, Rameswar Sahu

Supersymmetry (SUSY) addresses several problems of the Standard Model, such as the naturalness problem and gauge coupling unification, and can provide cosmologically viable dark ma…

hep-ph2024★ 5 cited

Unveiling the Secrets of New Physics Through Top Quark Tagging

Rameswar Sahu, Saiyad Ashanujjaman, Kirtiman Ghosh

The ubiquity of top-rich final states in the context of beyond the Standard Model (BSM) searches has led to their status as extensively studied signatures at the LHC. Over the past…

hep-ph2024★ 5 cited

Singlet-Doublet Fermionic Dark Matter in Gauge Theory of Baryons

Taramati, Rameswar Sahu, Utkarsh Patel +2

We are considering a minimal extension of the Standard Model (SM) by promoting the baryon number as a local gauge symmetry to accommodate a stable dark matter (DM) candida…

hep-ph2024

Integrating Physics Inspired Features with Graph Convolution

Rameswar Sahu

With the advent of advanced machine learning techniques, boosted object tagging has witnessed significant progress. In this article, we take this field further by introducing novel…