Title of article :
Advanced fitting algorithms for analysing positron annihilation lifetime spectra
Author/Authors :
Pascual-Izarra، نويسنده , , Carlos and Dong، نويسنده , , Aurelia W. and Pas، نويسنده , , Steven J. and Hill، نويسنده , , Anita J. and Boyd، نويسنده , , Ben J. and Drummond، نويسنده , , Calum J.، نويسنده ,
Pages :
11
From page :
456
To page :
466
Abstract :
The most common way to analyse PALS spectra involves fitting a parameter-dependent model to the experimental data. Traditionally, this fit involves local non-linear optimisation routines that depend on a reasonable initial guess for the searched parameters. This, together with the fact that very different sets of parameters may yield indistinguishably good fits for a given experimental spectrum, gives rise to ambiguities in the data analysis in most but the simplest cases. In order to alleviate these difficulties, a computer program named PAScual was developed that incorporates 2 advanced algorithms to provide a robust fitting tool: on the one hand, it incorporates a global non-linear optimisation routine based on the Simulated Annealing algorithm and, on the other hand, it yields information on the reliability of the results by means of a Markov Chain Monte-Carlo Bayesian Inference method. In this work the methods used in PAScual are described and tested against both simulated and experimental spectra, comparing the results with those from the well-established program LTv9. The examples focus on the type of complex data that results from the study of self-assembled amphiphile materials containing co-existing aqueous and hydrocarbon regions.
Keywords :
Optimisation , PAScual , Bayesian inference , SIMULATED ANNEALING , Phytantriol
Journal title :
Astroparticle Physics
Record number :
2024866
Link To Document :
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