4 citations · 7 across the 6 of their papers we have counts for
5 papers · 1 filter
Distinguishing Higgs portal and neutralino dark matter via vector boson fusion
Amit Chakraborty, Tathagata Ghosh, Rafiqul Rahaman
Understanding the nature of dark matter (DM) is a fundamental challenge in particle physics. In this paper, we investigate the potential of vector boson fusion (VBF) processes at t…
Explaining Data Anomalies over the NMSSM Parameter Space with Deep Learning Techniques
A. Hammad, Raymundo Ramos, Amit Chakraborty +2
Motivated by recent results from particle physics analyses, we investigate the Next-to-Minimal Supersymmetric Standard Model (NMSSM) as a framework capable of accommodating a range…
Exploring the Dark Sector of the inspired FNSM at the LHC
Amit Chakraborty, Dilip Kumar Ghosh, Najimuddin Khan +1
We establish the possibility of having a pseudo-Nambu-Goldstone boson (pNGB) Dark Matter (DM) candidate in the inspired Froggatt-Nielsen Singlet Model (iFNSM) wherein a direct conn…
Fat -Jet Analyses Using Old and New Clustering Algorithms in New Higgs Boson Searches at the LHC
Amit Chakraborty, Srinandan Dasmahapatra, Henry Day-Hall +3
We compare different jet-clustering algorithms in establishing fully hadronic final states stemming from the chain decay of a heavy Higgs state into a pair of the 125 GeV Higgs bos…
Revisiting Jet Clustering Algorithms for New Higgs Boson Searches in Hadronic Final States
Amit Chakraborty, Srinandan Dasmahapatra, Henry Day-Hall +5
We assess the performance of different jet-clustering algorithms, in the presence of different resolution parameters and reconstruction procedures, in resolving fully hadronic fina…