activity
20112021
most citedA Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

83 citations · 1.1k across the 36 of their papers we have counts for

collaborators
Showing 2020Show all

10 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…

physics.data-an2020★ 7 cited

Cosmic Background Removal with Deep Neural Networks in SBND

SBND Collaboration, R. Acciarri, C. Adams +128

In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons and other cosmic particles are incident on the detectors whil…

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…