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Title: Sampling using SU ( N ) gauge equivariant flows

Abstract

We develop a flow-based sampling algorithm for SU(N) lattice gauge theories that is gauge invariant by construction. Our key contribution is constructing a class of flows on an SU(N) variable [or on a U(N) variable by a simple alternative] that respects matrix conjugation symmetry. We apply this technique to sample distributions of single SU(N) variables and to construct flow-based samplers for SU(2) and SU(3) lattice gauge theory in two dimensions.

Authors:
ORCiD logo; ORCiD logo; ; ORCiD logo; ORCiD logo; ; ORCiD logo;
Publication Date:
Research Org.:
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Nuclear Physics (NP); National Science Foundation (NSF); NEC; Carl G and Shirley Sontheimer; Moore-Sloan Data Science; Carl Feinberg Fellowship in Theoretical Physics
OSTI Identifier:
1779319
Alternate Identifier(s):
OSTI ID: 1851472; OSTI ID: 1991371
Grant/Contract Number:  
SC0011090; AC02-06CH11357; SC0021006; 1841699; 2035015; ACI-1450310; OAC1836650; OAC-1841471; PHY-2019786
Resource Type:
Published Article
Journal Name:
Physical Review D
Additional Journal Information:
Journal Name: Physical Review D Journal Volume: 103 Journal Issue: 7; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; astronomy & astrophysics; physics; lattice QCD; strong interaction; quantum chromodynamics; lattice field theory; quantum field theory; symmetries in condensed matter; gauge symmetries; Monte Carlo methods

Citation Formats

Boyda, Denis, Kanwar, Gurtej, Racanière, Sébastien, Rezende, Danilo Jimenez, Albergo, Michael S., Cranmer, Kyle, Hackett, Daniel C., and Shanahan, Phiala E. Sampling using SU ( N ) gauge equivariant flows. United States: N. p., 2021. Web. doi:10.1103/PhysRevD.103.074504.
Boyda, Denis, Kanwar, Gurtej, Racanière, Sébastien, Rezende, Danilo Jimenez, Albergo, Michael S., Cranmer, Kyle, Hackett, Daniel C., & Shanahan, Phiala E. Sampling using SU ( N ) gauge equivariant flows. United States. https://doi.org/10.1103/PhysRevD.103.074504
Boyda, Denis, Kanwar, Gurtej, Racanière, Sébastien, Rezende, Danilo Jimenez, Albergo, Michael S., Cranmer, Kyle, Hackett, Daniel C., and Shanahan, Phiala E. Tue . "Sampling using SU ( N ) gauge equivariant flows". United States. https://doi.org/10.1103/PhysRevD.103.074504.
@article{osti_1779319,
title = {Sampling using SU ( N ) gauge equivariant flows},
author = {Boyda, Denis and Kanwar, Gurtej and Racanière, Sébastien and Rezende, Danilo Jimenez and Albergo, Michael S. and Cranmer, Kyle and Hackett, Daniel C. and Shanahan, Phiala E.},
abstractNote = {We develop a flow-based sampling algorithm for SU(N) lattice gauge theories that is gauge invariant by construction. Our key contribution is constructing a class of flows on an SU(N) variable [or on a U(N) variable by a simple alternative] that respects matrix conjugation symmetry. We apply this technique to sample distributions of single SU(N) variables and to construct flow-based samplers for SU(2) and SU(3) lattice gauge theory in two dimensions.},
doi = {10.1103/PhysRevD.103.074504},
journal = {Physical Review D},
number = 7,
volume = 103,
place = {United States},
year = {Tue Apr 20 00:00:00 EDT 2021},
month = {Tue Apr 20 00:00:00 EDT 2021}
}

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