most citedMachine Learning Techniques for Intermediate Mass Gap Lepton Partner Searches at the Large Hadron Collider

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

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-ph2023★ 3 cited

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…