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Flow-based sampling in the lattice Schwinger model at criticality

Recent results suggest that flow-based algorithms may provide efficient sampling of field distributions for lattice field theory applications, such as studies of quantum chromodynamics and the Schwinger model. In this work, we provide a numerical demonstration of robust flow-based sampling in the Sc...

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Main Authors: Albergo, Michael S. (Author) , Boyda, Denis (Author) , Cranmer, Kyle (Author) , Hackett, Daniel C. (Author) , Kanwar, Gurtej (Author) , Racanière, Sébastien (Author) , Rezende, Danilo J. (Author) , Romero-López, Fernando (Author) , Shanahan, Phiala E. (Author) , Urban, Julian M. (Author)
Format: Article (Journal)
Language:English
Published: 1 July 2022
In: Physical review
Year: 2022, Volume: 106, Issue: 1, Pages: 1-6
ISSN:2470-0029
DOI:10.1103/PhysRevD.106.014514
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1103/PhysRevD.106.014514
Verlag, kostenfrei, Volltext: https://link.aps.org/doi/10.1103/PhysRevD.106.014514
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Author Notes:Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Fernando Romero-López, Phiala E. Shanahan, and Julian M. Urban
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Summary:Recent results suggest that flow-based algorithms may provide efficient sampling of field distributions for lattice field theory applications, such as studies of quantum chromodynamics and the Schwinger model. In this work, we provide a numerical demonstration of robust flow-based sampling in the Schwinger model at the critical value of the fermion mass. In contrast, at the same parameters, conventional methods fail to sample all parts of configuration space, leading to severely underestimated uncertainties.
Item Description:Online veröffentlicht am 29. Juli 2022
Gesehen am 10.01.2022
Physical Description:Online Resource
ISSN:2470-0029
DOI:10.1103/PhysRevD.106.014514

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