2 papers
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…
hep-ph2024
DLScanner: A parameter space scanner package assisted by deep learning methods
A. Hammad, Raymundo Ramos
In this paper, we introduce a scanner package enhanced by deep learning (DL) techniques. The proposed package addresses two significant challenges associated with previously develo…