Showing 21–40 of 85 results
/ Date/ Name
Feb 10, 2025Neutrino Interaction Vertex Reconstruction in DUNE with Pandora Deep LearningFeb 10, 2025Euclid: A complete Einstein ring in NGC 6505Jan 6, 2025Design and Implementation of the Cosmic Ray Tagger System for the ICARUS detector at FNALSep 26, 2024The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP dataAug 22, 2024DUNE Phase II: Scientific Opportunities, Detector Concepts, Technological SolutionsAug 1, 2024First Measurement of the Total Inelastic Cross-Section of Positively-Charged Kaons on Argon at Energies Between 5.0 and 7.5 GeVJul 16, 2024Calibration and simulation of ionization signal and electronics noise in the ICARUS liquid argon time projection chamberJul 14, 2024Supernova Pointing Capabilities of DUNEMay 22, 2024Euclid: Early Release Observations -- Programme overview and pipeline for compact- and diffuse-emission photometryMar 5, 2024Performance of a modular ton-scale pixel-readout liquid argon time projection chamberFeb 2, 2024Doping Liquid Argon with Xenon in ProtoDUNE Single-Phase: Effects on Scintillation LightDec 5, 2023The DUNE Far Detector Vertical Drift Technology, Technical Design ReportDec 1, 2023Euclid preparation. XLI. Galaxy power spectrum modelling in real spaceOct 24, 2023Euclid preparation. LII. Forecast impact of super-sample covariance on 3x2pt analysis with EuclidMar 29, 2023Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino ExperimentDec 19, 2022Highly-parallelized simulation of a pixelated LArTPC on a GPUNov 9, 2022Updated constraints on sterile neutrino mixing in the OPERA experiment using a new $ν_e$ identification methodNov 2, 2022Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detectorJun 29, 2022Reconstruction of interactions in the ProtoDUNE-SP detector with PandoraMar 31, 2022Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network