activity
20232026
most citedSinglet-Doublet Fermionic Dark Matter in Gauge Theory of Baryons

5 citations · 13 across the 13 of their papers we have counts for

collaborators

13 papers

hep-ph2026

Light Leptoquarks in a Dark Sector: Scalar Dark Matter, Neutrino Mass, and Collider Signatures

Priyotosh Bandyopadhyay, Kirtiman Ghosh, Anirban Karan +2

We investigate the dark matter (DM) phenomenology and subsequent collider signatures of a dark leptoquark (LQ) model containing dark vector-like quarks (VLQs) and a scalar singlet.…

hep-ph2026

Revised exclusion limits on doubly charged Higgs bosons from a reanalysis of the ATLAS multi-lepton search at ,TeV

Kirtiman Ghosh, Arun Kumar Nayak, Debabrata Sahoo

The ATLAS search for pair-produced doubly charged Higgs bosons in multi-lepton final states using the full Run 2 dataset [Eur. Phys. J. C 83 (2023) 605] reports the strongest limit…

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

Reinterpretation and preservation of data and analyses in HEP

Jon Butterworth, Sabine Kraml, Harrison Prosper +145

Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes…

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

Multipartite dark matter in a gauge theory of leptons

Utkarsh Patel, Avnish, Sudhanwa Patra +1

The classical conservation of the lepton number is an accidental symmetry present in the Standard Model (SM). Thus, we consider here a scenario where the SM is extended with a U(1)…

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…