83 citations · 1.1k across the 36 of their papers we have counts for
18 papers · 1 filter
Novel Approach for Evaluating Detector-Related Uncertainties in a LArTPC Using MicroBooNE Data
MicroBooNE collaboration, P. Abratenko, R. An +183
Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifyin…
Search for an anomalous excess of charged-current quasi-elastic interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction
MicroBooNE collaboration, P. Abratenko, R. An +185
We present a measurement of the -interaction rate in the MicroBooNE detector that addresses the observed MiniBooNE anomalous low-energy excess (LEE). The approach taken isolat…
Search for an anomalous excess of charged-current interactions without pions in the final state with the MicroBooNE experiment
MicroBooNE collaboration, P. Abratenko, R. An +188
This article presents a measurement of interactions without pions in the final state using the MicroBooNE experiment and an investigation into the excess of low-energy electr…
Search for an Excess of Electron Neutrino Interactions in MicroBooNE Using Multiple Final State Topologies
MicroBooNE collaboration, P. Abratenko, R. An +192
We present a measurement of electron neutrino interactions from the Fermilab Booster Neutrino Beam using the MicroBooNE liquid argon time projection chamber to address the nature o…
First Measurement of Energy-Dependent Inclusive Muon Neutrino Charged-Current Cross Sections on Argon with the MicroBooNE Detector
MicroBooNE Collaboration, P. Abratenko, R. An +185
We report a measurement of the energy-dependent total charged-current cross section for inclusive muon neutrinos scattering on argon, as well as measurements of…
Search for an anomalous excess of inclusive charged-current interactions in the MicroBooNE experiment using Wire-Cell reconstruction
MicroBooNE collaboration, P. Abratenko, R. An +184
We report a search for an anomalous excess of inclusive charged-current (CC) interactions using the Wire-Cell event reconstruction package in the MicroBooNE experiment, which…
Electromagnetic Shower Reconstruction and Energy Validation with Michel Electrons and Samples for the Deep-Learning-Based Analyses in MicroBooNE
MicroBooNE collaboration, P. Abratenko, R. An +183
This article presents the reconstruction of the electromagnetic activity from electrons and photons (showers) used in the MicroBooNE deep learning-based low energy electron search.…
First Measurement of Inclusive Electron-Neutrino and Antineutrino Charged Current Differential Cross Sections in Charged Lepton Energy on Argon in MicroBooNE
MicroBooNE collaboration, P. Abratenko, R. An +185
We present the first measurement of the single-differential charged-current inclusive cross sections on argon in electron or positron energy and in electron or posi…
Search for a Higgs portal scalar decaying to electron-positron pairs in the MicroBooNE detector
MicroBooNE collaboration, P. Abratenko, R. An +181
We present a search for the decays of a neutral scalar boson produced by kaons decaying at rest, in the context of the Higgs portal model, using the MicroBooNE detector. We analyze…
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…
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…
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…
Search for heavy neutral leptons decaying into muon-pion pairs in the MicroBooNE detector
P. Abratenko, M. Alrashed, R. An +181
We present upper limits on the production of heavy neutral leptons (HNLs) decaying to pairs using data collected with the MicroBooNE liquid-argon time projection chamber (TPC)…
Reconstruction and Measurement of (100) MeV Energy Electromagnetic Activity from Decays in the MicroBooNE LArTPC
MicroBooNE collaboration, C. Adams, M. Alrashed +186
We present results on the reconstruction of electromagnetic (EM) activity from photons produced in charged current interactions with final state s. We employ a fully-aut…
First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at GeV with the MicroBooNE Detector
P. Abratenko, C. Adams, M. Alrashed +178
We report the first measurement of the double-differential and total muon neutrino charged current inclusive cross sections on argon at a mean neutrino energy of 0.8 GeV. Data were…
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…