429 citations · 1.7k across the 31 of their papers we have counts for
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Experiment Simulation Configurations Approximating DUNE TDR
DUNE Collaboration, B. Abi, R. Acciarri +966
The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment consisting of a high-power, broadband neutrino beam, a highly cap…
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…
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…
Prospects for Beyond the Standard Model Physics Searches at the Deep Underground Neutrino Experiment
DUNE Collaboration, B. Abi, R. Acciarri +970
The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a…
Long-baseline neutrino oscillation physics potential of the DUNE experiment
DUNE Collaboration, B. Abi, R. Acciarri +966
The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far…
First Measurement of Charged-Current Production on Argon with a LArTPC
MicroBooNE collaboration, C. Adams, M. Alrashed +172
We report the first measurement of the flux-integrated cross section of charged-current single production on argon. This measurement is performed with the MicroBooNE…
A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber
MicroBooNE collaboration, C. Adams, M. Alrashed +170
We have developed a convolutional neural network (CNN) that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) f…
Comparison of νμ-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions
C. Adams, R. An, J. Anthony +162
We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab.…
The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector
MicroBooNE collaboration, R. Acciarri, C. Adams +145
The development and operation of Liquid-Argon Time-Projection Chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit t…
Measurement of cosmic-ray reconstruction efficiencies in the MicroBooNE LArTPC using a small external cosmic-ray counter
MicroBooNE collaboration, R. Acciarri, C. Adams +148
The MicroBooNE detector is a liquid argon time projection chamber at Fermilab designed to study short-baseline neutrino oscillations and neutrino-argon interaction cross-section. D…