3 papers
hep-ex2025★ 1 cited
Identification of tau leptons using a convolutional neural network with domain adaptation
CMS Collaboration
A tau lepton identification algorithm, DeepTau, based on convolutional neural network techniques, has been developed in the CMS experiment to discriminate reconstructed hadronic de…
physics.ins-det2024
Improving tracking algorithms with machine learning: a case for line-segment tracking at the High Luminosity LHC
Jonathan Guiang, Slava Krutelyov, Manos Vourliotis +10
In this work, we present a study on ways that tracking algorithms can be improved with machine learning (ML). We base this study on the line segment tracking (LST) algorithm that w…
physics.ins-det2022
Line Segment Tracking in the HL-LHC
Gavin Niendorf, Tres Reid, Peter Wittich +9
The major challenge posed by the high instantaneous luminosity in the High Luminosity LHC (HL-LHC) motivates efficient and fast reconstruction of charged particle tracks in a high…