Maximum Entropy Analysis of the Spectral Functions in Lattice QCD
M. Asakawa, T. Hatsuda, Y. Nakahara

TL;DR
This paper reviews the use of the Maximum Entropy Method for extracting spectral functions from lattice QCD data, highlighting its advantages and demonstrating its effectiveness with mock and real data.
Contribution
It introduces and explains the application of MEM to lattice QCD spectral functions, emphasizing its non-parametric nature and quantitative analysis capabilities.
Findings
MEM accurately reproduces low-energy resonances
It reveals the high-energy continuum in hadronic correlators
Demonstrates MEM's effectiveness with mock and lattice data
Abstract
First principle calculation of the QCD spectral functions (SPFs) based on the lattice QCD simulations is reviewed. Special emphasis is placed on the Bayesian inference theory and the Maximum Entropy Method (MEM), which is a useful tool to extract SPFs from the imaginary-time correlation functions numerically obtained by the Monte Carlo method. Three important aspects of MEM are (i) it does not require a priori assumptions or parametrizations of SPFs, (ii) for given data, a unique solution is obtained if it exists, and (iii) the statistical significance of the solution can be quantitatively analyzed. The ability of MEM is explicitly demonstrated by using mock data as well as lattice QCD data. When applied to lattice data, MEM correctly reproduces the low-energy resonances and shows the existence of high-energy continuum in hadronic correlation functions. This opens up various…
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