4 citations · 7 across the 6 of their papers we have counts for
6 papers
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…
GW240925 and GW250207: Astrophysical Calibration of Gravitational-wave Detectors
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1839
GW240925 and GW250207 are two loud gravitational-wave signals from binary black hole coalescences observed with network signal-to-noise ratios and , respectively…
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…