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7 papers · 2 filters
Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment
NEXT Collaboration, M. Kekic, C. Adams +88
Convolutional neural networks (CNNs) are widely used state-of-the-art computer vision tools that are becoming increasingly popular in high energy physics. In this paper, we attempt…
First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform
DUNE Collaboration, B. Abi, A. Abed Abud +987
The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber with an active volume of m. It is installed at the CERN Neutrino Plat…
Dependence of polytetrafluoroethylene reflectance on thickness at visible and ultraviolet wavelengths in air
S. Ghosh, J. Haefner, J. Martín-Albo +88
Polytetrafluoroethylene (PTFE) is an excellent diffuse reflector widely used in light collection systems for particle physics experiments. However, the reflectance of PTFE is a fun…
Neutrino interaction classification with a convolutional neural network in the DUNE far detector
DUNE Collaboration, B. Abi, R. Acciarri +968
The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure -violation in the neutrino sector as part of a wider physics…
Performance of the upgraded PreProcessor of the ATLAS Level-1 Calorimeter Trigger
ATLAS Collaboration
The PreProcessor of the ATLAS Level-1 Calorimeter Trigger prepares the analogue trigger signals sent from the ATLAS calorimeters by digitising, synchronising, and calibrating them…
Performance of the ATLAS muon triggers in Run 2
ATLAS Collaboration
The performance of the ATLAS muon trigger system is evaluated with proton-proton () and heavy-ion (HI) collision data collected in Run 2 during 2015-2018 at the Large Hadron Co…