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Sampling using $SU(N)$ gauge equivariant flows

Authors :
Boyda, Denis
Kanwar, Gurtej
Racanière, Sébastien
Rezende, Danilo Jimenez
Albergo, Michael S.
Cranmer, Kyle
Hackett, Daniel C.
Shanahan, Phiala E.
Source :
Phys. Rev. D 103, 074504 (2021)
Publication Year :
2020

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 respect 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.<br />Comment: 24 pages, 19 figures

Details

Database :
arXiv
Journal :
Phys. Rev. D 103, 074504 (2021)
Publication Type :
Report
Accession number :
edsarx.2008.05456
Document Type :
Working Paper
Full Text :
https://doi.org/10.1103/PhysRevD.103.074504