activity
20142020
most citedA robust anomaly finder based on autoencoders

68 citations · 168 across the 6 of their papers we have counts for

collaborators

6 papers

hep-ph2020★ 14 cited

Boosted top quark tagging and polarization measurement using machine learning

Soham Bhattacharya, Monoranjan Guchait, Aravind H. Vijay

Machine learning techniques are used for treating jets as images to explore the performance of boosted top quark tagging. Tagging performances are studied in both hadronic and lept…

hep-ph2019★ 68 cited

A robust anomaly finder based on autoencoders

Tuhin S. Roy, Aravind H. Vijay

We propose a robust method to identify anomalous jets by vetoing QCD-jets. The robustness of this method ensures that the distribution of the proposed discriminating variable (whic…

hep-ph2019★ 12 cited

Boosted Top quark polarization

Rohini Godbole, Monoranjan Guchait, Charanjit K. Khosa +3

In top quark production, the polarization of top quarks, decided by the chiral structure of couplings, is likely to be modified in the presence of any new physics contribution to t…

hep-ph2018★ 17 cited

Probing Heavy Charged Higgs Boson at the LHC

Monoranjan Guchait, Aravind H. Vijay

Signature of heavier charged Higgs boson, much above the top quark mass, is investigated at the LHC Run 2 experiments, following its decay mode via top and bottom quark focusing on…

hep-ph2017★ 5 cited

Detection prospects of light pseudoscalar Higgs boson at the LHC

Monoranjan Guchait, Aravind H. Vijay, Jacky Kumar

The discovery potential of light pseudo scalar Higgs boson for the mass range 10-60 GeV is explored. In the context of the next-to-minimal supersymmetric standard(NMSSM) model, the…

quant-ph2014★ 52 cited

On the superposition principle in interference experiments

Aninda Sinha, Aravind H. Vijay, Urbasi Sinha

The superposition principle is usually incorrectly applied in interference experiments. This has recently been investigated through numerics based on Finite Difference Time Domain…