activity
20192022
most citedSemantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE

46 citations · 63 across the 4 of their papers we have counts for

collaborators

16 papers

hep-ex20224 cited

Precision measurement of reactor antineutrino oscillation at kilometer-scale baselines by Daya Bay

Daya Bay collaboration, F. P. An, W. D. Bai +197

We present a new determination of the smallest neutrino mixing angle and the mass-squared difference using a final sample of inver…

physics.ins-det20224 cited

Low-Energy Physics in Neutrino LArTPCs

D. Caratelli, W. Foreman, A. Friedland +285

In this white paper, we outline some of the scientific opportunities and challenges related to detection and reconstruction of low-energy (less than 100 MeV) signatures in liquid a…

hep-ex2021

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…

physics.ins-det2021

Cosmic Ray Background Rejection with Wire-Cell LArTPC Event Reconstruction in the MicroBooNE Detector

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

For a large liquid argon time projection chamber (LArTPC) operating on or near the Earth's surface to detect neutrino interactions, the rejection of cosmogenic background is a crit…

physics.ins-det20209 cited

Measurement of the Atmospheric Muon Rate with the MicroBooNE Liquid Argon TPC

MicroBooNE collaboration, C. Adams, M. Alrashed +187

MicroBooNE is a near-surface liquid argon (LAr) time projection chamber (TPC) located at Fermilab. We measure the characterisation of muons originating from cosmic interactions in…

physics.ins-det202046 cited

Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE

MicroBooNE collaboration, P. Abratenko, M. Alrashed +180

We present the performance of a semantic segmentation network, SparseSSNet, that provides pixel-level classification of MicroBooNE data. The MicroBooNE experiment employs a liquid…