most citedExploring the BSM parameter space with Neural Network aided Simulation-Based Inference

1 citations · 1 across the 2 of their papers we have counts for

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5 papers

hep-ph2026

Complementary probes of Bilinear RPV SUSY models with a wino-like LSP via Neutrino Oscillation and LHC

Arghya Choudhury, Arpita Mondal

In this work, we explore the bilinear R-parity violating Supersymmetry model's parameter space by performing a Markov Chain Monte Carlo scan with neutrino oscillation data, Higgs m…

hep-ph20251 cited

Exploring the BSM parameter space with Neural Network aided Simulation-Based Inference

Atrideb Chatterjee, Arghya Choudhury, Sourav Mitra +2

Some of the issues that make sampling parameter spaces of various beyond the Standard Model (BSM) scenarios computationally expensive are the high dimensionality of the input param…

hep-ph2025

Markov Chain Monte Carlo analysis to probe trilinear -parity violating SUSY scenarios and possible LHC signatures

Arghya Choudhury, Sourav Mitra, Arpita Mondal +1

In this article, we probe the trilinear -parity violating (RPV) supersymmetric (SUSY) scenarios with specific nonzero interactions in the light of neutrino oscillation, Higgs, a…

hep-ph2025

Searches for the BSM scenarios at the LHC using decision tree based machine learning algorithms: A comparative study and review of Random Forest, Adaboost, XGboost and LightGBM frameworks

Arghya Choudhury, Arpita Mondal, Subhadeep Sarkar

Machine learning algorithms are now being extensively used in our daily lives, spanning across diverse industries as well as academia. In the field of high energy physics (HEP), th…

hep-ph2025

Status of R-parity violating SUSY

Arghya Choudhury, Arpita Mondal, Subhadeep Mondal

In this article, we discuss various phenomenological implications of possible R-parity violating (RPV) supersymmetric scenarios. In this context, the implications of both bilinear…