Showing hep-phShow all
2 papers · 1 filter
hep-ph2026
Analytical and Machine Learning Methods for Model Discernment at CENS Experiments
Iain A. Bisset, Bhaskar Dutta, Doojin Kim +2
Neutrino experiments are often limited by low statistics, sizable systematic uncertainties, and coarse observable binning, which can hinder discrimination among competing beyond-th…
hep-ph2024
Machine Learning Techniques for Intermediate Mass Gap Lepton Partner Searches at the Large Hadron Collider
Bhaskar Dutta, Tathagata Ghosh, Alyssa Horne +6
We consider machine learning techniques associated with the application of a Boosted Decision Tree (BDT) to searches at the Large Hadron Collider (LHC) for pair-produced lepton par…