Hybrid RBRC seminar

"Mitigating noise in Green's function Monte Carlo using contour deformations"

Presented by Gurtej Kanwar, University of Bern

Thursday, June 8, 2023, 12:30 pm — Bldg. 510, Room 2-160

Abstract: The Green's function Monte Carlo (GFMC) method provides accurate solutions to the nuclear many-body problem and predicts properties of light nuclei starting from realistic two- and three-body interactions. Controlling the GFMC fermion-sign problem is crucial, as the signal-to-noise ratio decreases exponentially with Euclidean time. I will discuss recent work applying contour deformations to treat this sign problem and improve the GFMC signal-to-noise ratio. Proof-of-principle results include achieving an order of magnitude improvement in the variance of Euclidean density response functions of the deuteron, paving the way for computing electron- and neutrino-nucleus cross-sections of larger nuclei.

Hosted by: Nobuyuki Matsumoto

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