Results 1 to 10 of about 157,065 (210)
Lattice field theory applications in high energy physics [PDF]
Journal of Physics: Conference Series, 2016 8 pages, 5 figures, to appear in the Proceedings of the XXVII IUPAP Conference on Computational Physics (CCP2015), Indian Institute of Technology Guwahati, Assam, India, published in Journal of Physics: Conference Series (JPCS), published by ...
Steven Gottlieb
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Lattice computations for high energy and nuclear physics [PDF]
Journal of Physics: Conference Series, 2013 An overview is given on present lattice field theory computations. We demonstrate the progress obtained in the field due to algorithmic, conceptual and supercomputer advances. We discuss as particular examples Higgs boson mass bounds in lattice Higgs-Yukawa models and the baryon spectrum, the anomalous magnetic moment of the muon and nuclear physics ...
Karl Jansen
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Machine Learning for High Energy Physics on and off the Lattice
, 2020 A colloquium for ECT*Abstract: The field of machine learning and artificial intelligence has seen enormous progress in the last few years, and much of this progress has come in the form of Deep Learning. There have been dramatic improvements in performance on several challenging problems, an extension of the types of tasks that are being addressed, and
Kyle Cranmer
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Quantum data learning for quantum simulations in high-energy physics [PDF]
Physical Review Research, 2023 Quantum machine learning with parametrised quantum circuits has attracted significant attention over the past years as an early application for the era of noisy quantum processors.
Lento Nagano +5 more
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Bent Crystal Design and Characterization for High-Energy Physics Experiments [PDF]
Crystals, 2022 Bent crystal are widely used as optics for X-rays, but via the phenomenon of planar channeling they may act as waveguide for relativistic charged particles beam as well, outperforming some of the traditional technologies currently employed.
M. Romagnoni +8 more
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Loop-free tensor networks for high-energy physics [PDF]
Philosophical Transactions of the Royal Society A, 2021 This brief review introduces the reader to tensor network methods, a powerful theoretical and numerical paradigm spawning from condensed matter physics and quantum information science and increasingly exploited in different fields of research, from ...
S. Montangero, E. Rico, P. Silvi
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waLBerla‐wind: A lattice‐Boltzmann‐based high‐performance flow solver for wind energy applications [PDF]
Concurrency and Computation, 2023 This article presents the development of a new wind turbine simulation software to study wake flow physics. To this end, the design and development of waLBerla‐wind, a new simulator based on the lattice‐Boltzmann method that is known for its excellent ...
Helen Schottenhamml +4 more
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Blaze: A High performance Big Data Computing System for High Energy Physics
Journal of Physics: Conference Series, 2023 High energy physics (HEP) is moving towards extremely high statistical experiments and super-large-scale simulation of theory. In order to handle the challenge of rapid growth of data volumes, distributed computing and storage frameworks in Big Data area
Libin Xia +4 more
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Approaching the Topological Low-Energy Physics of the F Model in a Two-Dimensional Magnetic Lattice.
Physical Review Letters, 2022 We demonstrate that the physics of the F model can be approached very closely in a two-dimensional artificial magnetic system. Faraday lines spanning across the lattice and carrying a net polarization, together with chiral Faraday loops characterized by ...
V. Schánilec +7 more
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