TM
T. Mettler
hep-exphysics.ins-dethep-phnucl-exnucl-thphysics.data-ancs.CVdeep learningliquid Ar detectorsneutrino physics
On Valency
published · living versionsW_kxhpyqjq·v1 · currentpublished
Search for Neutrino-Produced Long-Lived Particles Using the SBND Cosmic Ray Tagger Beam Telescope
with R. Acciarri, L. Aliaga-Soplin, D. Andrade Aldana, C. Andreopoulos +186
1 version
Preprints & journals
35 papers in the corpus · 2017–2022First Measurement of Energy-Dependent Inclusive Muon Neutrino Charged-Current Cross Sections on Argon with the MicroBooNE Detector.35499871 · Abratenko, P, An, R, Anthony, J et al.2022 · 42 citationsPhysical review letters. 2022;128(15):151801
Observation of Radon Mitigation in MicroBooNE by a Liquid Argon Filtration System2203.10147v2 · P. Abratenko, J. Anthony, L. Arellano et al.2022 · 7 citationsJINST 17 P11022 (2022)
Cosmic ray muon clustering for the MicroBooNE liquid argon time projection chamber using sMask-RCNN2201.05705v3 · P. Abratenko, R. An, J. Anthony et al.2022 · 6 citationsarXiv
Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC.35859696 · Abud, A Abed, Abi, B, Acciarri, R et al.2025 · 20 citationsThe European physical journal. C, Particles and fields. 2022;82(7):618
Novel Approach for Evaluating Detector-Related Uncertainties in a LArTPC Using MicroBooNE Data2111.03556v2 · P. Abratenko, R. An, J. Anthony et al.2021 · 45 citationsEur. Phys. J. C 82, 454 (2022)
Wire-Cell 3D Pattern Recognition Techniques for Neutrino Event Reconstruction in Large LArTPCs: Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation2110.13961v3 · P. Abratenko, R. An, J. Anthony et al.2021 · 27 citationsarXiv
Search for an anomalous excess of inclusive charged-current interactions in the MicroBooNE experiment using Wire-Cell reconstruction2110.13978v5 · P. Abratenko, R. An, J. Anthony et al.2021 · 43 citationsPhys.Rev. D 105 (2022) 11, 112005
New CC0\pi\ GENIE Model Tune for MicroBooNE2110.14028v5 · P. Abratenko, R. An, J. Anthony et al.2021 · 60 citationsPhys. Rev. D 105, 072001 (2022)
Search for an anomalous excess of charged-current quasi-elastic interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction2110.14080v3 · P. Abratenko, R. An, J. Anthony et al.2021 · 44 citationsPhys.Rev.D 105 (2022) 11, 112003
Electromagnetic Shower Reconstruction and Energy Validation with Michel Electrons and Samples for the Deep-Learning-Based Analyses in MicroBooNE2110.11874v3 · P. Abratenko, R. An, J. Anthony et al.2021 · 5 citationsJINST 16 (2021) 12, T12017
Search for a Higgs Portal Scalar Decaying to Electron-Positron Pairs in the MicroBooNE Detector.34678031 · Abratenko, P, An, R, Anthony, J et al.2021 · 49 citationsPhysical review letters. 2021;127(15):151803
First Measurement of Inclusive Electron-Neutrino and Antineutrino Charged Current Differential Cross Sections in Charged Lepton Energy on Argon in MicroBooNE2109.06832v2 · P. Abratenko, R. An, J. Anthony et al.2021 · 25 citationsPhys. Rev. D 105, L051102 (2022)
Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data2109.02460v3 · P. Abratenko, R. An, J. Anthony et al.2021 · 38 citationsJournal of High Energy Physics volume 2021, Article number: 153 (2021)
Cosmic Ray Background Removal With Deep Neural Networks in SBND.34505055 · Acciarri, R, Adams, C, Andreopoulos, C et al.2023 · 10 citationsFrontiers in artificial intelligence. 2021;4:649917
Measurement of the Longitudinal Diffusion of Ionization Electrons in the MicroBooNE Detector2104.06551v2 · P. Abratenko, R. An, J. Anthony et al.2021 · 19 citationsarXiv
Measurement of the Atmospheric Muon Rate with the MicroBooNE Liquid Argon TPC2012.14324v2 · C. Adams, M. Alrashed, R. An et al.2020 · 10 citationsMicroBooNE et al 2021 JINST 16 P04004
Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE2012.08513v2 · P. Abratenko, M. Alrashed, R. An et al.2020 · 47 citationsPhys. Rev. D 103, 052012 (2021)
Cosmic Background Removal with Deep Neural Networks in SBND2012.01301v3 · R. Acciarri, C. Adams, C. Andreopoulos et al.2020 · 7 citationsarXiv
First Measurement of Differential Charged Current Quasielasticlike ν_μ-Argon Scattering Cross Sections with the MicroBooNE Detector.33258649 · Abratenko, P, Alrashed, M, An, R et al.2020 · 52 citationsPhysical review letters. 2020;125(20):201803
Neutrino Event Selection in the MicroBooNE Liquid Argon Time Projection Chamber using Wire-Cell 3-D Imaging, Clustering, and Charge-Light Matching2011.01375v4 · P. Abratenko, M. Alrashed, R. An et al.2020 · 35 citationsJINST 16 P06043 (2021)
A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber2010.08653v4 · P. Abratenko, M. Alrashed, R. An et al.2020 · 36 citationsPhys. Rev. D 103, 092003 (2021)
Measurement of Differential Cross Sections for -Ar Charged-Current Interactions with Protons and no Pions in the Final State with the MicroBooNE Detector2010.02390v1 · P. Abratenko, M. Alrashed, R. An et al.2020 · 59 citationsPhys. Rev. D 102, 112013 (2020)
Vertex-Finding and Reconstruction of Contained Two-track Neutrino Events in the MicroBooNE Detector2002.09375v5 · P. Abratenko, M. Alrashed, R. An et al.2020 · 20 citationsarXiv
Construction of precision wire readout planes for the Short-Baseline Near Detector (SBND)2002.08424v2 · R. Acciarri, C. Adams, C. Andreopoulos et al.2020 · 31 citationsarXiv
Search for heavy neutral leptons decaying into muon-pion pairs in the MicroBooNE detector1911.10545v2 · P. Abratenko, M. Alrashed, R. An et al.2019 · 50 citationsPhys. Rev. D 101, 052001 (2020)
Reconstruction and Measurement of (100) MeV Energy Electromagnetic Activity from Decays in the MicroBooNE LArTPC1910.02166v1 · C. Adams, M. Alrashed, R. An et al.2019 · 35 citationsarXiv
A Method to Determine the Electric Field of Liquid Argon Time Projection Chambers Using a UV Laser System and its Application in MicroBooNE1910.01430v2 · C. Adams, M. Alrashed, R. An et al.2019 · 62 citationsarXiv
First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at E_ν∼0.8 GeV with the MicroBooNE Detector.31697542 · Abratenko, P, Adams, C, Alrashed, M et al.2019 · 77 citationsPhysical review letters. 2019;123(13):131801
A New Concept for Kilotonne Scale Liquid Argon Time Projection Chambers1908.10956v3 · M. Auger, R. Berner, Y. Chen et al.2019 · 11 citationsarXiv
Calibration of the charge and energy loss per unit length of the MicroBooNE liquid argon time projection chamber using muons and protons1907.11736v2 · C. Adams, M. Alrashed, R. An et al.2019 · 75 citationsJINST 15, P03022 (2020)
First Operation of a Resistive Shell Liquid Argon Time Projection Chamber -- A new Approach to Electric-Field Shaping1903.11858v2 · Roman Berner, Yifan Chen, Antonio Ereditato et al.2019 · 5 citationsarXiv
First Measurement of Charged-Current Production on Argon with a LArTPC1811.02700v1 · C. Adams, M. Alrashed, R. An et al.2018 · 38 citationsPhys. Rev. D 99, 091102 (2019)
A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber1808.07269v1 · C. Adams, M. Alrashed, R. An et al.2018 · 83 citationsPhys. Rev. D 99, 092001 (2019)
Comparison of \nu\mu-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions1805.06887v3 · C. Adams, R. An, J. Anthony et al.2018 · 17 citationsEur. Phys. J. C (2019) 79:248
ArCLight - a Compact Dielectric Large-Area Photon Detector1711.11409v2 · M. Auger, Y. Chen, A. Ereditato et al.2017 · 26 citationsarXiv
Career total: 66 works. 35 are in this corpus.
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