activity
19992021
most citedDirect Evidence for Neutrino Flavor Transformation from Neutral-Current Interactions in the Sudbury Neutrino Observatory

3k citations · 13.6k across the 106 of their papers we have counts for

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71 papers · 1 filter

hep-ex2021★ 51 cited

Search for a Higgs portal scalar decaying to electron-positron pairs in the MicroBooNE detector

MicroBooNE collaboration, P. Abratenko, R. An +181

We present a search for the decays of a neutral scalar boson produced by kaons decaying at rest, in the context of the Higgs portal model, using the MicroBooNE detector. We analyze…

hep-ex2021★ 1 cited

Measurement of the Flux-Averaged Inclusive Charged-Current Electron Neutrino and Antineutrino Cross Section on Argon using the NuMI Beam and the MicroBooNE Detector

MicroBooNE collaboration, P. Abratenko, M. Alrashed +185

We present a measurement of the combined + flux-averaged charged-current inclusive cross section on argon using data from the MicroBooNE liquid argon time projectio…

hep-ex2020★ 30 cited

High-performance Generic Neutrino Detection in a LArTPC near the Earth's Surface with the MicroBooNE Detector

MicroBooNE collaboration, P. Abratenko, M. Alrashed +186

Large Liquid Argon Time Projection Chambers (LArTPCs) are being increasingly adopted in neutrino oscillation experiments because of their superb imaging capabilities through the co…

hep-ex2020★ 66 cited

Measurement of Differential Cross Sections for -Ar Charged-Current Interactions with Protons and no Pions in the Final State with the MicroBooNE Detector

MicroBooNE collaboration, P. Abratenko, M. Alrashed +182

We present an analysis of MicroBooNE data with a signature of one muon, no pions, and at least one proton above a momentum threshold of 300 MeV/c (CC0Np). This is the first diff…

hep-ex2020★ 35 cited

A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

MicroBooNE collaboration, P. Abratenko, M. Alrashed +184

We present the multiple particle identification (MPID) network, a convolutional neural network (CNN) for multiple object classification, developed by MicroBooNE. MPID provides the…

hep-ex2020★ 62 cited

Precision constraints for three-flavor neutrino oscillations from the full MINOS+ and MINOS data set

MINOS+ Collaboration, :, P. Adamson +70

We report the final measurement of the neutrino oscillation parameters and using all data from the MINOS and MINOS+ experiments. These data were collecte…