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most citedDark Matter Particle Spectroscopy at the LHC: Generalizing MT2 to Asymmetric Event Topologies

121 citations · 1.6k across the 71 of their papers we have counts for

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hep-ph2026

Probing Boosted Light Scalars in the Type-I 2HDM

Partha Konar, Tanmoy Mondal, Chandrima Sen

In the Type-I two-Higgs Doublet Model (2HDM), the additional scalars may be light ( GeV) without conflicting with experimental constraints from LHC searches or from f…

hep-ph2025

Unveiling a Hidden Epoch: Impact of Mediator Induced Matter Domination in Freeze-in Dark Matter

Partha Konar, Sudipta Show

Freeze-in dark matter has recently garnered significant attention as a promising framework due to its feeble interactions, which are consistent with the null results from dark matt…

hep-ph2025

Stable and Interpretable Jet Physics with IRC-Safe Equivariant Feature Extraction

Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky +1

Deep learning has achieved remarkable success in jet classification tasks, yet a key challenge remains: understanding what these models learn and how their features relate to known…

hep-ph2025

Illuminating Degenerate Dark Sector of Inert Doublet Model at Muon Collider

Anupam Ghosh, Partha Konar, Chandrima Sen +1

The Inert scalar Doublet Model (IDM) presents a simple yet elegant framework for a scalar dark sector where the lightest mode functions as a viable dark matter candidate under a $\…

hep-ph2025

Unraveling Freeze-in Dark matter through the echoes of gravitational waves

Partha Konar, Sudipta Show

In the quest to unravel the dark sector, feebly interacting freeze-in dark matter presents an intriguing possibility, plausibly explaining the consistent null results from various…

hep-ph2025★ 4 cited

Jet Substructure Probe on Scalar Leptoquark Models via Top Polarization

Anupam Ghosh, Partha Konar, Tousik Samui +1

The study of leptoquarks and their couplings to fermions with different chiralities provides a powerful tool for distinguishing among different leptoquark models. As a case study,…

hep-ph2024★ 4 cited

Collider fingerprints of freeze-in dark matter produced during the fast expansion phase of Universe

Anupam Ghosh, Partha Konar, Sudipta Show

We examine a simple dark sector extension where the observed dark matter (DM) abundance arises from a freeze-in process through the decay of heavy vector-like quarks into a scalar…

hep-ph2024★ 13 cited

Unveiling desert region in inert doublet model assisted by Peccei-Quinn symmetry

Anupam Ghosh, Partha Konar

The Inert Higgs Doublet model (IDM), assisted by Peccei-Quinn (PQ) symmetry, offers a simple but natural framework of a dark sector that accommodates Weakly Interacting Massive Par…

hep-ph2024★ 3 cited

Foundations of automatic feature extraction at LHC--point clouds and graphs

Akanksha Bhardwaj, Partha Konar, Vishal S. Ngairangbam

Deep learning algorithms will play a key role in the upcoming runs of the Large Hadron Collider (LHC), helping bolster various fronts ranging from fast and accurate detector simula…

hep-ph2023★ 16 cited

Unitarity Bound on Dark Matter in Low-temperature Reheating Scenarios

Nicolás Bernal, Partha Konar, Sudipta Show

Model-independent theoretical upper bound on the thermal dark matter (DM) mass can be derived from the maximum inelastic DM cross-section featuring the whole observed DM abundance.…

hep-ph2023★ 8 cited

Hypergraphs in LHC Phenomenology -- The Next Frontier of IRC-Safe Feature Extraction

Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky

In this study, we critically evaluate the approximation capabilities of existing infra-red and collinear (IRC) safe feature extraction algorithms, namely Energy Flow Networks (EFNs…

hep-ph2023★ 4 cited

LLPNet: Graph Autoencoder for Triggering Light Long-Lived Particles at HL-LHC

Biplob Bhattacherjee, Partha Konar, Vishal Singh Ngairangbam +1

In the search for exotic events involving displaced particles at HL-LHC, the triggering at the level-1 (L1) system will pose a significant challenge. This is particularly relevant…

hep-ph2023★ 17 cited

Precision prediction of a democratic up-family philic KSVZ axion model at the LHC

Anupam Ghosh, Partha Konar

In this work, we study the singlet complex scalar extended KSVZ model that, in addition to providing a natural solution to the strong-CP problem, furnishes two components…

hep-ph2023★ 12 cited

Precise probing and discrimination of third-generation scalar leptoquarks

Anupam Ghosh, Partha Konar, Debashis Saha +1

We explore the pair production of third-generation scalar leptoquark at the Large Hadron Collider to next-to-leading order accuracy in QCD, matched to parton shower for a precise p…

hep-ph2023★ 9 cited

Jet substructure probe to unfold singlet-doublet dark matter in the presence of non-standard cosmology

Prasanta Kumar Das, Partha Konar, Saumyen Kundu +1

We examine the singlet-doublet fermionic dark matter model, where the non-thermal production of the dark matter in light of a non-standard cosmology demands a significantly large i…

hep-ph2022★ 19 cited

Top-philic Dark Matter in a Hybrid KSVZ axion framework

Anupam Ghosh, Partha Konar, Rishav Roshan

We explore a two-component dark matter scenario in an extended Kim-Shifman-Vainshtein-Zakharov (KSVZ) axion framework. This hybrid setup incorporates an extra complex sin…

hep-ph2022★ 11 cited

Thermally corrected masses and freeze-in dark matter: a case study

Nabarun Chakrabarty, Partha Konar, Rishav Roshan and +1

If coupled \emph{feebly} to the Standard Model bath, a dark matter can evade the severe constraints from the direct search experiments. At the same time, such interactions help pro…

hep-ph2022★ 24 cited

IRC-safe Graph Autoencoder for unsupervised anomaly detection

Oliver Atkinson, Akanksha Bhardwaj, Christoph Englert +3

Anomaly detection through employing machine learning techniques has emerged as a novel powerful tool in the search for new physics beyond the Standard Model. Historically similar t…

hep-ph2022★ 4 cited

Influence of QCD parton shower in deep learning invisible Higgs through vector boson fusion

Partha Konar, Vishal S. Ngairangbam

Vector boson fusion established itself as a highly reliable channel to probe the Higgs boson and an avenue to uncover new physics at the Large Hadron Collider. This channel provide…

hep-ph2021★ 27 cited

Self-interacting freeze-in dark matter in a singlet doublet scenario

Purusottam Ghosh, Partha Konar, Abhijit Kumar Saha +1

We examine the non-thermal production of dark matter in a scalar extended singlet doublet fermion model where the lightest admixture of the fermions constitutes a suitable dark mat…

hep-ph2021★ 19 cited

Precise probing of the inert Higgs-doublet model at the LHC

Anupam Ghosh, Partha Konar, Satyajit Seth

The inert Higgs-doublet model provides a simple framework to accommodate a viable Higgs portal scalar dark matter candidate, together with other heavier scalars of mass 100 GeV or…

hep-ph2021★ 16 cited

Freeze-in Dark Matter Through Forbidden Channel in

Partha Konar, Rishav Roshan, Sudipta Show

We examine a scenario for freeze-in production of dark matter, which occurs due to the large thermal correction to the mass of a decaying mediator particle present in the thermal b…

hep-ph2021★ 36 cited

Energy-weighted Message Passing: an infra-red and collinear safe graph neural network algorithm

Partha Konar, Vishal S. Ngairangbam, Michael Spannowsky

Hadronic signals of new-physics origin at the Large Hadron Collider can remain hidden within the copiously produced hadronic jets. Unveiling such signatures require highly performa…

hep-ph2021★ 5 cited

Probing non-standard interaction at the LHC at TeV

Partha Konar, Biswarup Mukhopadhyaya, Rafiqul Rahaman +1

In the detailed probe of Higgs boson properties at the Large Hadron Collider, and in looking for new physics signatures in the electroweak symmetry breaking sector, the bottom quar…