We study autocorrelation times of physical observables in lattice QCD as a function of the molecular dynamics trajectory length in the hybrid Monte-Carlo algorithm. In an interval of trajectory lengths where energy and reversibility violations can be kept under control, we find a variation of the integrated autocorrelation times by a factor of about two in the quantities of interest. Trajectories longer than conventionally used are found to be superior both in the Nf=0 and Nf=2 examples considered here. We also provide evidence that they lead to faster thermalization of systems with light quarks
ABSTRACT: We perform an extensive study of autocorrelation of several observables in lattice QCD wit...
We present the preliminary tests on two modifications of the Hybrid Monte Carlo (HMC) algorithm. Bot...
We present the preliminary tests on two modifications of the Hybrid Monte Carlo (HMC) algorithm. Bot...
We study the non-reversibility of molecular dynamics trajectories arising from the amplification of ...
We describe a Fourier Accelerated Hybrid Monte Carlo algorithm suitable for dynamical fermion simula...
We compare the performance of the Kramers Equation Monte Carlo (KMC) Algorithm with that of the Hybr...
We investigate the lattice spacing dependence of the equilibration time for a recently proposed mult...
The theoretical justification of the Hybrid Monte Carlo algorithm depends upon the molecular dynamic...
The enormous computing resources that large-scale simulations in Lattice QCD require will continue ...
Markov chain Monte Carlo sampling propagators, including numerical integrators for stochastic dynami...
Markov chain Monte Carlo sampling propagators, including numerical integrators for stochastic dynami...
We investigate instability and reversibility within Hybrid Monte Carlo simulations using a non-pertu...
AbstractWe describe a Fourier-accelerated hybrid Monte Carlo algorithm suitable for dynamical fermio...
The cost for stochastic sampling of quantum chromodynamics (QCD) vacuum configurations outweighs by ...
We address a long standing issue and determine the decorrelation efficiency of the Hybrid Monte Carl...
ABSTRACT: We perform an extensive study of autocorrelation of several observables in lattice QCD wit...
We present the preliminary tests on two modifications of the Hybrid Monte Carlo (HMC) algorithm. Bot...
We present the preliminary tests on two modifications of the Hybrid Monte Carlo (HMC) algorithm. Bot...
We study the non-reversibility of molecular dynamics trajectories arising from the amplification of ...
We describe a Fourier Accelerated Hybrid Monte Carlo algorithm suitable for dynamical fermion simula...
We compare the performance of the Kramers Equation Monte Carlo (KMC) Algorithm with that of the Hybr...
We investigate the lattice spacing dependence of the equilibration time for a recently proposed mult...
The theoretical justification of the Hybrid Monte Carlo algorithm depends upon the molecular dynamic...
The enormous computing resources that large-scale simulations in Lattice QCD require will continue ...
Markov chain Monte Carlo sampling propagators, including numerical integrators for stochastic dynami...
Markov chain Monte Carlo sampling propagators, including numerical integrators for stochastic dynami...
We investigate instability and reversibility within Hybrid Monte Carlo simulations using a non-pertu...
AbstractWe describe a Fourier-accelerated hybrid Monte Carlo algorithm suitable for dynamical fermio...
The cost for stochastic sampling of quantum chromodynamics (QCD) vacuum configurations outweighs by ...
We address a long standing issue and determine the decorrelation efficiency of the Hybrid Monte Carl...
ABSTRACT: We perform an extensive study of autocorrelation of several observables in lattice QCD wit...
We present the preliminary tests on two modifications of the Hybrid Monte Carlo (HMC) algorithm. Bot...
We present the preliminary tests on two modifications of the Hybrid Monte Carlo (HMC) algorithm. Bot...