A Python program for the implementation of the $\Gamma$-method for Monte Carlo simulations

Dataset

DOI PID

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.

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Identifier
DOI	https://doi.org/10.17632/hvtvnjsg3h.1
PID	https://nbn-resolving.org/urn:nbn:nl:ui:13-1f-byxn
Metadata Access	https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:264414

Provenance
Creator	Ballantyne, J
Publisher	Data Archiving and Networked Services (DANS)
Contributor	John Ballantyne
Publication Year	2018
Rights	info:eu-repo/semantics/openAccess; License: http://opensource.org/licenses/MIT; http://opensource.org/licenses/MIT
OpenAccess	true

Representation
Resource Type	Dataset
Discipline	Other