5 papers · 1 filter
Hunting the Unseen: Deep Learning Analysis for Semi-Visible Jet Tagging
Miguel A. Avendaño-Bernal, Srinandan Dasmahapatra, Ahmed Hammad +4
Semi-Visible Jets (SVJs) constitute a distinctive collider signature of strongly interacting dark sectors, embedding Dark Matter candidates, wherein jets contain both visible Stand…
Language-Guided Hypotheses Generation for Sparse SMEFT Analyses
Ahmed Hammad, Veronica Sanz
Global fits of the Standard Model Effective Field Theory are challenged by the large number of operators, while any given database constrains only a small subset. Selecting relevan…
Predicting Three Generations of Fermions: Discovery Prospects of the Bilepton Model
Andreas Crivellin, Paul H. Frampton, Ahmed Hammad
We study the production of pairs of doubly-charged bileptons and assess their discovery potential in light of the integrated luminosities available at the High-Luminosity LHC. The…
Transformer networks for Heavy flavor jet tagging
A. Hammad, Mihoko M Nojiri
In this article, we review recent machine learning methods used in challenging particle identification of heavy-boosted particles at high-energy colliders. Our primary focus is on…
Quantum similarity learning for anomaly detection
A. Hammad, Mihoko M. Nojiri, Masahito Yamazaki
Anomaly detection is a vital technique for exploring signatures of new physics Beyond the Standard Model (BSM) at the Large Hadron Collider (LHC). The vast number of collisions gen…