240 citations · 327 across the 8 of their papers we have counts for
3 papers · 1 filter
On-Detector Machine Learning for Beam-Induced Background Rejection at a 10 TeV Muon Collider
Daniel Abadjiev, Eliza Howard, Tsz Ngong You +35
A 10 TeV Muon Collider is a compelling candidate for a future energy-frontier facility, offering unprecedented opportunities to explore the fundamental laws of particle physics. Mu…
Long Short-Term Memory (LSTM) networks with jet constituents for boosted top tagging at the LHC
Shannon Egan, Wojciech Fedorko, Alison Lister +2
Multivariate techniques based on engineered features have found wide adoption in the identification of jets resulting from hadronic top decays at the Large Hadron Collider (LHC). R…
Jet Constituents for Deep Neural Network Based Top Quark Tagging
Jannicke Pearkes, Wojciech Fedorko, Alison Lister +1
Recent literature on deep neural networks for tagging of highly energetic jets resulting from top quark decays has focused on image based techniques or multivariate approaches usin…