6 citations · 11 across the 8 of their papers we have counts for
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Signatures of Invisible Fermions in Decays
Shantanu Sahoo, Soumitra Nandi
We investigate the effects of a massive invisible fermion in decays using a model-independent weak effective theory. Through a comprehens…
Precision Study of Semileptonic and Non-Leptonic Decays to and P Wave Charmonia
Aritra Biswas, Soumitra Nandi, Shantanu Sahoo
We analyse semileptonic and non-leptonic decays of the meson into P wave charmonium states. The analytic expressions for the transition form factors are taken from NRQCD, whi…
A Comprehensive Analysis of Decays Within and Beyond the Standard Model
Karthik Jain, Tarun Kumar, Barilang Mawlong +1
We examine the exclusive semileptonic decays , with , within the Standard Model and beyo…
Probing Invisible Fermions in via Angular Observables
Lipika Kolay, Soumitra Nandi, Shantanu Sahoo
Semileptonic decays provide a sensitive probe of light invisible particles, such as sterile neutrinos or dark-sector fermions. Within a general we…
Probing Light Dark Fermions in via Rate Distributions
Lipika Kolay, Soumitra Nandi, Shantanu Sahoo +1
Experimental analyses of the semileptonic decays typically rely on the assumption that the missing energy originates from a massless neutrino, as predic…
An Imperative study of the angular observables in decay and probing the footprint of new physics
Soumitra Nandi, Shantanu Sahoo, Ria Sain
We study the four-fold angular distribution of the semileptonic decay and find out analytical expressions for various asymmetric an…
Analyzing the semileptonic and nonleptonic decays
Aritra Biswas, Soumitra Nandi, Shantanu Sahoo
This study focuses on the decay of the meson to S-wave charmonia. Starting with lattice inputs on form factors, we have obtained the form factors usi…
'Deep' Dive into Anomalies: Standardized and Future-proof Model Selection Using Self-normalizing Neural Networks
Srimoy Bhattacharya, Soumitra Nandi, Sunando Kumar Patra +1
Noting the erroneous proclivity of information-theoretic approaches, like the Akaike information criterion (AIC), to select simpler models while performing model selection with a s…