Flow-based sampling in the lattice Schwinger model at criticality

Albergo, Michael S.; Boyda, Denis; Cranmer, Kyle; Hackett, Daniel C.; Kanwar, Gurtej; Racanière, Sébastien; Rezende, Danilo J.; Romero-López, Fernando; Shanahan, Phiala E.; Urban, Julian M.

doi:10.1103/PhysRevD.106.014514

Flow-based sampling in the lattice Schwinger model at criticality

Michael S. Albergo
(
- New York U., CCPP
)
,
Denis Boyda
(
- Argonne, ALCF and
- MIT, Cambridge, CTP and
- IAIFI, Cambridge
)
,
Kyle Cranmer
(
- New York U., CCPP
)
,
Daniel C. Hackett
(
- MIT, Cambridge, CTP and
- Harvard U. and
- IAIFI, Cambridge
)
,
Gurtej Kanwar
(
- MIT, Cambridge, CTP and
- IAIFI, Cambridge and
- U. Bern, AEC and
- Bern U.
)

Feb 23, 2022

8 pages

Published in:

Phys.Rev.D 106 (2022) 1, 014514

Published: Jul 1, 2022

e-Print:

2202.11712 [hep-lat]

DOI:

10.1103/PhysRevD.106.014514 (publication)

Report number:

MIT-CTP/5409

View in:

ADS Abstract Service

pdf

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Abstract: (APS)

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.

Note:

8pages main text, 3 pages supplementary material. 4 figures

fermion: mass
Schwinger model
lattice
quantum chromodynamics
lattice field theory

References(68)

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