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DOE OSTI · 2311220

Control variates for lattice field theory

Bhattacharya, Tanmoy (ORCID:000000021060652X)·Lawrence, Scott (ORCID:0000000278447000)·Yoo, Jun-Sik (ORCID:0000000162724790)
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Abstract

In most lattice field theories, correlators are plagued by a signal-to-noise problem of exponential difficulty in the time separation. We propose a method for improving the signal-to-noise ratio, in which control variates are systematically constructed from lattice Schwinger-Dyson relations. The method is demonstrated on various two-dimensional lattices in scalar field theory, and a strategy for scaling to larger systems is explored. Published by the American Physical Society 2024

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73 NUCLEAR PHYSICS AND RADIATION PHYSICSlattice field theorymachine learning

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Bhattacharya, Tanmoy (ORCID:000000021060652X), Lawrence, Scott (ORCID:0000000278447000), Yoo, Jun-Sik (ORCID:0000000162724790). 2024-02-23. Control variates for lattice field theory. https://doi.org/10.1103/physrevd.109.l031505

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