New Noise Subtraction Methods in Lattice QCD

TL;DR

This paper introduces innovative noise subtraction techniques for Lattice QCD, focusing on disconnected diagram evaluations to enhance computational efficiency and reduce statistical uncertainties.

Contribution

It presents new combined polynomial and Hermitian deflation methods for noise suppression in Lattice QCD calculations.

Findings

Improved noise reduction in disconnected diagram evaluations.

Enhanced efficiency of Lattice QCD noise algorithms.

Potential for more accurate signal extraction.

Abstract

Noise subtraction techniques can help reduce the statistical uncertainty in the extraction of hard to detect signals. We describe new noise subtraction methods in Lattice QCD which apply to disconnected diagram evaluations. Some of the noise suppression techniques include polynomial quark matrix methods, eigenspectrum deflation methods, and combination methods. Our most promising technique combines polynomial and Hermitian deflation subtraction methods. The overall goal is to improve the efficiency of Lattice QCD noise method algorithms.