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19982026
most citedMachine Learning in Nuclear Physics

255 citations

Showing hep-exShow all

6 papers · 1 filter

hep-ex2020★ 57 cited

First Measurement of Differential Charged Current Quasielastic-like -Argon Scattering Cross Sections with the MicroBooNE Detector

P. Abratenko, M. Alrashed, R. An +181

We report on the first measurement of flux-integrated single differential cross sections for charged-current (CC) muon neutrino () scattering on argon with a muon and a proton…

hep-ex2019★ 51 cited

Search for heavy neutral leptons decaying into muon-pion pairs in the MicroBooNE detector

P. Abratenko, M. Alrashed, R. An +181

We present upper limits on the production of heavy neutral leptons (HNLs) decaying to pairs using data collected with the MicroBooNE liquid-argon time projection chamber (TPC)…

hep-ex2019★ 35 cited

Reconstruction and Measurement of (100) MeV Energy Electromagnetic Activity from Decays in the MicroBooNE LArTPC

MicroBooNE collaboration, C. Adams, M. Alrashed +186

We present results on the reconstruction of electromagnetic (EM) activity from photons produced in charged current interactions with final state s. We employ a fully-aut…

hep-ex2019★ 79 cited

First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at GeV with the MicroBooNE Detector

P. Abratenko, C. Adams, M. Alrashed +178

We report the first measurement of the double-differential and total muon neutrino charged current inclusive cross sections on argon at a mean neutrino energy of 0.8 GeV. Data were…

hep-ex2018★ 39 cited

First Measurement of Charged-Current Production on Argon with a LArTPC

MicroBooNE collaboration, C. Adams, M. Alrashed +172

We report the first measurement of the flux-integrated cross section of charged-current single production on argon. This measurement is performed with the MicroBooNE…

hep-ex2018★ 83 cited

A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

MicroBooNE collaboration, C. Adams, M. Alrashed +170

We have developed a convolutional neural network (CNN) that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) f…