5 citations · 5 across the 5 of their papers we have counts for
5 papers · 1 filter
Machine Learning Enhanced Detection of Higgs Chain Decays in Vector Boson Fusion
Shreecheta Chowdhury, Amit Chakraborty, Stefano Moretti
Over the years, Vector Boson Fusion (VBF) has established itself as one of the most robust production channels for studying the Higgs boson, while also serving as a promising pathw…
Search for Quadruplet Scalars using Boosted Decision Trees at the LHC
Amit Chakraborty, Shreecheta Chowdhury, Nilanjana Kumar +1
Beyond the Standard Model scenarios introduce additional scalar and fermion multiplets, which influence neutrino mass generation mechanisms and yield distinctive collider signature…
Probes of Anomalous Events at LHC with Self-Organizing Maps
Shreecheta Chowdhury, Amit Chakraborty, Saunak Dutta
We propose an Unsupervised Learning Algorithm, Self-Organizing Maps (SOM), built on a neural network architecture, for the probe of a rare top decay, mediated by Flavor Changing Ne…
Interplay of Traditional Methods and Machine Learning Algorithms for Tagging Boosted Objects
Camellia Bose, Amit Chakraborty, Shreecheta Chowdhury +1
Interest in deep learning in collider physics has been growing in recent years, specifically in applying these methods in jet classification, anomaly detection, particle identifica…
Boosted Top Tagging through Flavour-violating interactions at the LHC
Shreecheta Chowdhury, Amit Chakraborty, Saunak Dutta
This paper describes a method for detecting a rare top quark decay into a charm quark and a Higgs boson (H), which decays further into b quarks, at the Large Hadron Collider (LHC),…