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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…
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…
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…
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…
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…
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…
The Continuous Readout Stream of the MicroBooNE Liquid Argon Time Projection Chamber for Detection of Supernova Burst Neutrinos
MicroBooNE collaboration, P. Abratenko, M. Alrashed +185
The MicroBooNE continuous readout stream is a parallel readout of the MicroBooNE liquid argon time projection chamber (LArTPC) which enables detection of non-beam events such as th…
Measurement of Space Charge Effects in the MicroBooNE LArTPC Using Cosmic Muons
MicroBooNE collaboration, P. Abratenko, M. Alrashed +184
Large liquid argon time projection chambers (LArTPCs), especially those operating near the surface, are susceptible to space charge effects. In the context of LArTPCs, the space ch…
Point Proposal Network for Reconstructing 3D Particle Endpoints with Sub-Pixel Precision in Liquid Argon Time Projection Chambers
Laura Dominé, Pierre Côte de Soux, François Drielsma +6
Liquid Argon Time Projection Chambers (LArTPC) are particle imaging detectors recording 2D or 3D images of trajectories of charged particles. Identifying points of interest in thes…
Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers
Dae Heun Koh, Pierre Côte de Soux, Laura Dominé +6
Liquid Argon Time Projection Chambers (LArTPCs) are high resolution particle imaging detectors, employed by accelerator-based neutrino oscillation experiments for high precision ph…
Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data
Francois Drielsma, Qing Lin, Pierre Côte de Soux +7
Liquid Argon Time Projection Chambers (LArTPCs) are a class of detectors that produce high resolution images of charged particles within their sensitive volume. In these images, th…
Track Seeding and Labelling with Embedded-space Graph Neural Networks
Nicholas Choma, Daniel Murnane, Xiangyang Ju +16
To address the unprecedented scale of HL-LHC data, the Exa.TrkX project is investigating a variety of machine learning approaches to particle track reconstruction. The most promisi…
PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics
Corey Adams, Kazuhiro Terao, Taritree Wongjirad
Rapid advancement of machine learning solutions has often coincided with the production of a test public data set. Such datasets reduce the largest barrier to entry for tackling a…
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…
Vertex-Finding and Reconstruction of Contained Two-track Neutrino Events in the MicroBooNE Detector
MicroBooNE collaboration, P. Abratenko, M. Alrashed +186
We describe algorithms developed to isolate and accurately reconstruct two-track events that are contained within the MicroBooNE detector. This method is optimized to reconstruct t…