Autocorrelations and subseries averages in Monte Carlo Simulations

Abstract

The process of averages over consecutive sufficiently long subseries of data obtained from Monte Carlo or, with some restrictions, from molecular dynamics simulations of statistical systems is analysed with respect to decay of autocorrelations with increasing lag. A simple expression for the error of the total average is derived the tested on a model system. Comparison is made with other approaches.