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

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

collaborators

14 papers

hep-ph2026

A relook at a low reheating temperature: Freeze-in versus Freeze-out

Debajyoti Choudhury, Vineet K. Jha, Rameswar Sahu

A lowering of the post-inflation reheating temperature has attracted much attention as a means to facilitate obtaining the correct Dark Matter (DM) relic abundance. We…

hep-ph2026

Probing the Inert Doublet Dark Matter with Stellar-Mass Black Hole Mini-Spikes

Rameswar Sahu

The nature of dark matter remains a central unresolved problem in contemporary physics, motivating the exploration of well-defined extensions of the Standard Model. Among these, th…

hep-ph2026

Resurrecting Kaluza-Klein Dark Matter with Low-Temperature Reheating

Kirtiman Ghosh, Abhishek Roy, Rameswar Sahu

In Universal Extra Dimension (UED) scenarios, the lightest Kaluza-Klein (KK) particle is naturally stable due to a remnant discrete symmetry, KK parity, arising from extra-dimensio…

hep-ph2025★ 2 cited

Scrutinizing Fermionic Dark Matter in Scotogenic Model with Low Reheating Temperature

Abhishek Roy, Rameswar Sahu

The scotogenic model provides a minimal and elegant framework that simultaneously explains neutrino masses and accommodates a viable dark matter (DM) candidate. In this work, we in…

hep-ph2025

A Comprehensive Search for Leptoquarks Decaying into Top- Final States at the Future LHC

Debabrata Sahoo, Rameswar Sahu, Kirtiman Ghosh

We studied the collider phenomenology of third-generation scalar leptoquarks at the Large Hadron Collider (LHC) with a 14 TeV center-of-mass energy. The analysis focuses on leptoqu…

hep-ph2025

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection

Rameswar Sahu, Debabrata Sahoo, Kirtiman Ghosh

Higgsinos near the TeV mass range are highly motivated as they offer an elegant solution to the naturalness problem in the Standard Model. Extensive searches for such higgsinos wit…

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…

hep-ph2023

ML-Based Top Taggers: Performance, Uncertainty and Impact of Tower & Tracker Data Integration

Rameswar Sahu, Kirtiman Ghosh

Machine learning algorithms have the capacity to discern intricate features directly from raw data. We demonstrated the performance of top taggers built upon three machine learning…

hep-ph2022★ 18 cited

Low-mass doubly-charged Higgs bosons at LHC

Saiyad Ashanujjaman, Kirtiman Ghosh, Rameswar Sahu

Search for light (within the mass range 84-200 GeV) doubly-charged Higgs bosons decaying into a pair of W-bosons has been deemed challenging using the conventional LHC searches wit…