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Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions

Authors :
Abbott, Ryan
Albergo, Michael S.
Boyda, Denis
Cranmer, Kyle
Hackett, Daniel C.
Kanwar, Gurtej
Racanière, Sébastien
Rezende, Danilo J.
Romero-López, Fernando
Shanahan, Phiala E.
Tian, Betsy
Urban, Julian M.
Abbott, Ryan
Albergo, Michael S.
Boyda, Denis
Cranmer, Kyle
Hackett, Daniel C.
Kanwar, Gurtej
Racanière, Sébastien
Rezende, Danilo J.
Romero-López, Fernando
Shanahan, Phiala E.
Tian, Betsy
Urban, Julian M.
Publication Year :
2022

Abstract

This work presents gauge-equivariant architectures for flow-based sampling in fermionic lattice field theories using pseudofermions as stochastic estimators for the fermionic determinant. This is the default approach in state-of-the-art lattice field theory calculations, making this development critical to the practical application of flow models to theories such as QCD. Methods by which flow-based sampling approaches can be improved via standard techniques such as even/odd preconditioning and the Hasenbusch factorization are also outlined. Numerical demonstrations in two-dimensional U(1) and SU(3) gauge theories with $N_f=2$ flavors of fermions are provided.<br />Comment: 15 pages, 7 figures. v3: accepted version for publication. New appendix C

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1417125308
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1103.PhysRevD.106.074506