activity
19942023
most citedEvidence for Neutrino Oscillations from the Observation of Electron Anti-neutrinos in a Muon Anti-Neutrino Beam

1.5k citations · 8.1k across the 117 of their papers we have counts for

collaborators
Showing 2020Show all

20 papers · 1 filter

physics.ins-det2020★ 9 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-det2020★ 46 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…

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…

cs.LG2020

Adversarial Training for EM Classification Networks

Tom Grimes, Eric Church, William Pitts +4

We present a novel variant of Domain Adversarial Networks with impactful improvements to the loss functions, training paradigm, and hyperparameter optimization. New loss functions…

physics.ins-det2020★ 1 cited

Neutrino Event Selection in the MicroBooNE Liquid Argon Time Projection Chamber using Wire-Cell 3-D Imaging, Clustering, and Charge-Light Matching

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

An accurate and efficient event reconstruction is required to realize the full scientific capability of liquid argon time projection chambers (LArTPCs). The current and future neut…

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…