Because of the mass gap, lattice QCD simulations exhibit stochastic locality: distant regions of the lattice fluctuate independently. There is a long history of exploiting this to increase statistics by obtaining multiple spatially-separated samples from each gauge field; in the extreme case, we arrive at the master-field approach in which a single gauge field is used. Here we develop techniques for studying hadronic observables using position-space correlators, which are more localized, and compare with the standard time-momentum representation. We also adapt methods for estimating the variance of an observable from autocorrelated Monte Carlo samples to the case of correlated spatially-separated samples.Comment: 45 pages, 16 figures, 3 tab...
We use the stochastic series expansion quantum Monte Carlo method, together with the eigenstate-to-H...
Journal ArticleWe have extended our program of QCD simulations with an improved Kogut-Susskind quark...
Among the wide range of their potential uses, Markov Chain Monte Carlo algorithms are an essential t...
Because of the mass gap, lattice QCD simulations exhibit stochastic locality: distant regions of the...
Because of the mass gap, lattice QCD simulations exhibit stochastic locality: distant regions of the...
In lattice QCD and other field theories with a mass gap, the field variables in distant regions of a...
We discuss the recently proposed multiboson domain-decomposed factorization of the gauge-field depen...
The cost for stochastic sampling of quantum chromodynamics (QCD) vacuum configurations outweighs by ...
Lattice gauge theory is a special regularization of continuum gauge theories and the numerical simul...
We extract pion parton distribution functions (PDFs) in a Monte Carlo global QCD analysis of experim...
Numerical methods are used to investigate some of the non-perturbative properties of lattice QCD. Wi...
Calculations of topological observables in lattice gauge theories with traditional Monte Carlo algor...
The results of several numerical simulations of QCD by Monte Carlo lattice gauge theory are presente...
In this thesis we discuss two methods for calculating the mass-spectrum in field theories using Mont...
Journal ArticleThe recently developed Symanzik-improved staggered-quark discretization allows unque...
We use the stochastic series expansion quantum Monte Carlo method, together with the eigenstate-to-H...
Journal ArticleWe have extended our program of QCD simulations with an improved Kogut-Susskind quark...
Among the wide range of their potential uses, Markov Chain Monte Carlo algorithms are an essential t...
Because of the mass gap, lattice QCD simulations exhibit stochastic locality: distant regions of the...
Because of the mass gap, lattice QCD simulations exhibit stochastic locality: distant regions of the...
In lattice QCD and other field theories with a mass gap, the field variables in distant regions of a...
We discuss the recently proposed multiboson domain-decomposed factorization of the gauge-field depen...
The cost for stochastic sampling of quantum chromodynamics (QCD) vacuum configurations outweighs by ...
Lattice gauge theory is a special regularization of continuum gauge theories and the numerical simul...
We extract pion parton distribution functions (PDFs) in a Monte Carlo global QCD analysis of experim...
Numerical methods are used to investigate some of the non-perturbative properties of lattice QCD. Wi...
Calculations of topological observables in lattice gauge theories with traditional Monte Carlo algor...
The results of several numerical simulations of QCD by Monte Carlo lattice gauge theory are presente...
In this thesis we discuss two methods for calculating the mass-spectrum in field theories using Mont...
Journal ArticleThe recently developed Symanzik-improved staggered-quark discretization allows unque...
We use the stochastic series expansion quantum Monte Carlo method, together with the eigenstate-to-H...
Journal ArticleWe have extended our program of QCD simulations with an improved Kogut-Susskind quark...
Among the wide range of their potential uses, Markov Chain Monte Carlo algorithms are an essential t...