4.7 Article

Statistics of baryon correlation functions in lattice QCD

期刊

PHYSICAL REVIEW D
卷 96, 期 11, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.96.114508

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资金

  1. National Science Foundation [NSF PHY11-25915]
  2. U.S. National Science Foundation [0922770]
  3. UW Student Technology Fee (STF)
  4. U.S. Department of Energy [DE-AC02-05CH11231, DE-SC00-10337]
  5. Office of Science of the U.S. Department of Energy [DE-AC05-00OR22725]
  6. DOE [DE-FG02-00ER41132]
  7. USQCD SciDAC project
  8. Direct For Mathematical & Physical Scien
  9. Division Of Physics [0922770] Funding Source: National Science Foundation

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A systematic analysis of the structure of single-baryon correlation functions calculated with lattice QCD is performed, with a particular focus on characterizing the structure of the noise associated with quantum fluctuations. The signal-to-noise problem in these correlation functions is shown, as long suspected, to result from a sign problem. The log-magnitude and complex phase are found to be approximately described by normal and wrapped normal distributions respectively. Properties of circular statistics are used to understand the emergence of a large time noise region where standard energy measurements are unreliable. Power-law tails in the distribution of baryon correlation functions, associated with stable distributions and Levy flights, are found to play a central role in their time evolution. A new method of analyzing correlation functions is considered for which the signal-to-noise ratio of energy measurements is constant, rather than exponentially degrading, with increasing source-sink separation time. This new method includes an additional systematic uncertainty that can be removed by performing an extrapolation, and the signal-to-noise problem reemerges in the statistics of this extrapolation. It is demonstrated that this new method allows accurate results for the nucleon mass to be extracted from the large-time noise region inaccessible to standard methods. The observations presented here are expected to apply to quantum Monte Carlo calculations more generally. Similar methods to those introduced here may lead to practical improvements in analysis of noisier systems.

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