17 citations · 60 across the 31 of their papers we have counts for
10 papers · 1 filter
Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)
Julia Gonski, Jennifer Ott, Jenni Ott +129
The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…
Rapid Inference of Logic Gate Neural Networks for Anomaly Detection in High Energy Physics
Lino Gerlach, Elliott Kauffman, Liv Helen Våge +1
The increasing data rates and complexity of detectors at the Large Hadron Collider (LHC) necessitate fast and efficient machine learning models, particularly for rapid selection of…
Operation of a Modular 3D-Pixelated Liquid Argon Time-Projection Chamber in a Neutrino Beam
DUNE Collaboration, S. Abbaslu, A. Abed Abud +1318
The 2x2 Demonstrator, a prototype for the Deep Underground Neutrino Experiment (DUNE) liquid argon (LAr) Near Detector, was exposed to the Neutrinos from the Main Injector (NuMI) n…
Spatial and Temporal Evaluations of the Liquid Argon Purity in ProtoDUNE-SP
DUNE Collaboration, S. Abbaslu, A. Abed Abud +1320
Liquid argon time projection chambers (LArTPCs) rely on highly pure argon to ensure that ionization electrons produced by charged particles reach readout arrays. ProtoDUNE Single-P…
The DUNE Phase II Detectors
DUNE Collaboration, A. Abed Abud, R. Acciarri +1340
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase s…
The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data
DUNE Collaboration, A. Abed Abud, B. Abi +1366
This paper introduces a novel track-length extension fitting algorithm for measuring the kinetic energies of inelastically interacting particles in liquid argon time projection cha…
DUNE Phase II: Scientific Opportunities, Detector Concepts, Technological Solutions
DUNE Collaboration, A. Abed Abud, B. Abi +1366
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase s…
AI-Assisted Detector Design for the EIC (AID(2)E)
M. Diefenthaler, C. Fanelli, L. O. Gerlach +11
Artificial Intelligence is poised to transform the design of complex, large-scale detectors like the ePIC at the future Electron Ion Collider. Featuring a central detector with add…
Performance of a modular ton-scale pixel-readout liquid argon time projection chamber
DUNE Collaboration, A. Abed Abud, B. Abi +1360
The Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube desi…
Doping Liquid Argon with Xenon in ProtoDUNE Single-Phase: Effects on Scintillation Light
DUNE Collaboration, A. Abed Abud, B. Abi +1317
Doping of liquid argon TPCs (LArTPCs) with a small concentration of xenon is a technique for light-shifting and facilitates the detection of the liquid argon scintillation light. I…