3 papers
hep-ph2026
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…
hep-ph2025
Interference Effects in Resonant Standard Model di-Higgs Production and Decay into Final States: the Role of Machine Learning Analysis
A. Hammad, S. Moretti, A. P. Przybyl +1
The final state with four -quarks has generally the largest event rate in Standard Model (SM)-like Higgs () pair production, but also the largest backgrounds. We stu…
hep-ph2025
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…