Hi Patrick, Your response is indeed more useful that my previous answer and with interesting links
thank for the pointers Stephane ------------------------------ Message: 4 Date: Fri, 18 May 2012 10:51:35 +0200 From: Patrick Fuchs <[email protected]> Subject: Re: [gmx-users] What is the autocorrelation time To: Discussion list for GROMACS users <[email protected]> Message-ID: <[email protected]> Content-Type: text/plain; charset=ISO-8859-1; format=flowed Hi Chris, I understand your question, this autocorrelation time puzzled me for a long time as well. Not far from the interpretation you give, Scott Feller defines it (http://dx.doi.org/10.1007/978-1-59745-519-0_7) as the time a given observable takes to lose the memory of its previous state, or in other words the time it takes to relax (that's why it's sometimes called relaxation time). He also discusses it as a tool to choose the block size for calculating an error estimate of an observable (one single simulation can be used as independant samples if each block size is >> autocorrelation time). We also had a nice discussion some years ago on the mailing list on free energy calculation and error estimate: http://lists.gromacs.org/pipermail/gmx-users/2007-May/027281.html. John Chodera pointed me to a useful article from Wolfhard Janke (the link in the discussion is broken, here's the new one: http://www2.fz-juelich.de/nic-series/volume10/janke2.pdf). There you'll find a rigorous mathematical definition of autocorrelation time. Quoting this paper "This shows more clearly that only every 2 tau_int iterations the measurements are approximately uncorrelated and gives a better idea of the relevant effective size of the statistical sample" (tau_int is the integrated autocorrelation time; as you said the autocorrelation function is usually a single exponential, but sometimes it's more complex and one needs to evaluate it by integration of the autocorrelation function). After all these considerations, the autocorrelation time can be seen as a tool to assess the time that is needed to have a good estimate of an observable: the simulation must be many many times longer than the autocorrelation time. And sometimes it's directly related to experimental observables (i.e. NMR relaxation experiments). Hope it's useful, Patrick Le 16/05/2012 23:39, Christopher Neale a ?crit : > Thank you Stephane. > > Unfortunately, neither of those links contains the information that I am > seeking. Those links contain some example plots of autocorrelation > functions including a discussion of time-spans over which the example > time-series is autocorrelated and when it is not, but neither link > defines the (exponential or integral) autocorrelation time except to > show a plot and indicate when it is non-zero and when it fluctuates > about zero. > > For example, I already know that the autocorrelation time describes the > exponential decay of the correlation and that two values drawn from the > same simulation are statistically independent if they are separated by a > sufficient number of (accurate) autocorrelation times, but this > information is not exactly a definition of the autocorrelation time. > > I am hoping to find a definition of the autocorrelation time in terms of > the probability of drawing uncorrelated samples, although any complete > definition will do. > > If anybody else has the time, I would appreciate it. > > Thank you, > Chris. > > -- original message -- > > Probably these links give you simple and clear response for your > question > http://idlastro.gsfc.nasa.gov/idl_html_help/Time-Series_Analysis.html > and http://www.statsoft.com/textbook/time-series-analysis/ HTH Stephane > > -- _______________________________________________________________________ Patrick FUCHS Dynamique des Structures et Interactions des Macromol?cules Biologiques INTS, INSERM UMR-S665, Universit? Paris Diderot, 6 rue Alexandre Cabanel, 75015 Paris Tel : +33 (0)1-44-49-30-57 - Fax : +33 (0)1-43-06-50-19 E-mail address: [email protected] Web Site: http://www.dsimb.inserm.fr/~fuchs -- gmx-users mailing list [email protected] http://lists.gromacs.org/mailman/listinfo/gmx-users Please search the archive at http://www.gromacs.org/Support/Mailing_Lists/Search before posting! Please don't post (un)subscribe requests to the list. Use the www interface or send it to [email protected]. Can't post? Read http://www.gromacs.org/Support/Mailing_Lists
