Controlling Excited-State Contamination in Nucleon Matrix Elements
Boram Yoon, Rajan Gupta, Tanmoy Bhattacharya, Michael Engelhardt,, Jeremy Green, B\'alint Jo\'o, Huey-Wen Lin, John Negele, Kostas Orginos,, Andrew Pochinsky, David Richards, Sergey Syritsyn, Frank Winter

TL;DR
This paper compares methods to reduce excited-state contamination and statistical errors in nucleon matrix element calculations using lattice QCD, demonstrating effective tuning of techniques like variational analysis and two-state fits.
Contribution
It provides a detailed comparison of variational and two-state fit methods for excited-state suppression in nucleon matrix element calculations.
Findings
Both methods effectively reduce excited-state contamination.
Optimal source smearing and source-sink separation are crucial for convergence.
The study offers guidance on cost-effective strategies for lattice QCD calculations.
Abstract
We present a detailed analysis of methods to reduce statistical errors and excited-state contamination in the calculation of matrix elements of quark bilinear operators in nucleon states. All the calculations were done on a 2+1 flavor ensemble with lattices of size generated using the rational hybrid Monte Carlo algorithm at ~fm and with MeV. The statistical precision of the data is improved using the all-mode-averaging method. We compare two methods for reducing excited-state contamination: a variational analysis and a two-state fit to data at multiple values of the source-sink separation . We show that both methods can be tuned to significantly reduce excited-state contamination and discuss their relative advantages and cost-effectiveness. A detailed analysis of the size of source smearing used in the calculation of quark propagators…
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Taxonomy
TopicsNuclear physics research studies · High-Energy Particle Collisions Research · Nuclear reactor physics and engineering
