5 papers
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…
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…
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…
Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model
Rajneil Baruah, Subhadeep Mondal, Sunando Kumar Patra +1
We propose a novel technique for sampling particle physics model parameter space. The main sampling method applied is Nested Sampling (NS), which is boosted by the application of m…
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.…