1. Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions
- Author
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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, and Urban, Julian M.
- Subjects
High Energy Physics - Lattice ,Computer Science - Machine Learning - 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., Comment: 15 pages, 7 figures. v3: accepted version for publication. New appendix C
- Published
- 2022
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