Frontiers in Physics | |
BUQEYE guide to projection-based emulators in nuclear physics | |
Physics | |
C. Drischler1  A. J. Garcia2  J. A. Melendez2  R. J. Furnstahl2  Xilin Zhang3  | |
[1] Department of Physics and Astronomy & Institute of Nuclear and Particle Physics, Ohio University, Athens, OH, United States;Facility for Rare Isotope Beams, Michigan State University, East Lansing, MI, United States;Department of Physics, The Ohio State University, Columbus, OH, United States;Facility for Rare Isotope Beams, Michigan State University, East Lansing, MI, United States; | |
关键词: emulators; reduced-order models; model order reduction; nuclear scattering; uncertainty quantification; effective field theory; variational principles; Galerkin projection; | |
DOI : 10.3389/fphy.2022.1092931 | |
received in 2022-11-08, accepted in 2022-12-15, 发布年份 2023 | |
来源: Frontiers | |
【 摘 要 】
The BUQEYE collaboration (Bayesian Uncertainty Quantification: Errors in Your effective field theory) presents a pedagogical introduction to projection-based, reduced-order emulators for applications in low-energy nuclear physics. The term emulator refers here to a fast surrogate model capable of reliably approximating high-fidelity models. As the general tools employed by these emulators are not yet well-known in the nuclear physics community, we discuss variational and Galerkin projection methods, emphasize the benefits of offline-online decompositions, and explore how these concepts lead to emulators for bound and scattering systems that enable fast and accurate calculations using many different model parameter sets. We also point to future extensions and applications of these emulators for nuclear physics, guided by the mature field of model (order) reduction. All examples discussed here and more are available as interactive, open-source Python code so that practitioners can readily adapt projection-based emulators for their own work.
【 授权许可】
Unknown
Copyright © 2023 Drischler, Melendez, Furnstahl, Garcia and Zhang.
【 预 览 】
Files | Size | Format | View |
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RO202310108335002ZK.pdf | 2264KB | download |