Publication
Title
Inverse moment analysis of time dependent autocorrelation functions
Author
Abstract
We apply inverse moment techniques to analyse certain time dependent autocorrelation functions. The experimentally measured values are interpreted as moments of a probability distributionf(x) which is calculated numerically. For this purpose we use Chebychev's algorithm. By means of the inverse algorithm we can reproduce the original data within numerical precision. The ill-conditioning of the inverse moment problem is circumvented by making an ansatz for the unknown higher order moments. We discuss in particular exponentially and algebraically decaying correlation functions.
Language
English
Source (journal)
Zeitschrift für Physik : B : condensed matter. - Berlin
Publication
Berlin : 1990
ISSN
0722-3277 [print]
DOI
10.1007/BF01323525
Volume/pages
80 :3 (1990) , p. 423-427
ISI
A1990DW31300015
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 25.01.2019
Last edited 16.08.2024
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