Table of Contents
Fetching ...

Non-perturbative quark mass renormalization in quenched lattice QCD

Stefano Capitani, Martin Lüscher, Rainer Sommer, Hartmut Wittig

Abstract

The renormalization factor relating the bare to the renormalization group invariant quark masses is accurately calculated in quenched lattice QCD using a recursive finite-size technique. The result is presented in the form of a product of a universal factor times another factor, which depends on the details of the lattice theory but is easy to compute, since it does not involve any large scale differences. As a byproduct the Lambda-parameter of the theory is obtained with a total error of 8%.

Non-perturbative quark mass renormalization in quenched lattice QCD

Abstract

The renormalization factor relating the bare to the renormalization group invariant quark masses is accurately calculated in quenched lattice QCD using a recursive finite-size technique. The result is presented in the form of a product of a universal factor times another factor, which depends on the details of the lattice theory but is easy to compute, since it does not involve any large scale differences. As a byproduct the Lambda-parameter of the theory is obtained with a total error of 8%.

Paper Structure

This paper contains 23 sections, 54 equations, 8 figures, 10 tables.

Figures (8)

  • Figure 1: Running coupling $\alpha_{{\rm \overline{MS}}}=\bar{g}^2_{{\rm \overline{MS}}}/4\pi$ in quenched QCD. From the dotted to the full curve, the perturbative accuracy increases from two to four loops.
  • Figure 2: Running quark mass in quenched QCD. The flavour index has been omitted, since the entire graph is independent of which quark flavour is considered.
  • Figure 3: Polynomial fit of the data for the step scaling function $\sigma(u)$. The errors on the data are about equal to the symbol size.
  • Figure 4: Comparison of the numerically computed values of the running coupling in the SF scheme with perturbation theory. The dotted and dashed curves are obtained from eq. (\ref{['f_Lambda_def']}) using the $2$- and $3$-loop expressions for the $\beta$-function. The errors on the data are smaller than the symbol size.
  • Figure 5: Polynomial fit of the data for the step scaling function $\sigma_{\rm P}(u)$.
  • ...and 3 more figures