A Python program for the implementation of the Γ-method for Monte Carlo simulations

Abstract

We present a modular analysis program written in Python devoted to the estimation of autocorrelation times for Monte Carlo simulations by means of the $\Gamma$-method algorithm. We give a brief review of this method and describe the main features of the program. The latter is characterized by a user-friendly interface and an open source environment which, along with its modularity, make it a versatile tool. Finally we present a simple application as an operational test for the program.

arXiv commentNew simulations, extended statistics, improved results and fits. 23 pages, 3 figures, 3 tables. Link of the program UNEW: http://bitbucket.org/betocollaboration/unew/

References in corpus (2)

• Monte Carlo errors with less errors
• Schwarz-preconditioned HMC algorithm for two-flavour lattice QCD

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