Return to search

A novel algorithm for analysing gravitational microlensing events

Includes abstract. / Includes bibliographical references. / This dissertation presents a new algorithm that was developed to perform autonomous fitting of gravitational microlensing lightcurves. The algorithm combines features of extant evolutionary algorithms with some novel ones, and fares well on the problem of fitting binary lens microlensing lightcurves, as well as on a number of other difficult optimisation problems. Furthermore, the new algorithm is conceptually simple, versatile and robust, and parallelises trivially.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uct/oai:localhost:11427/11219
Date January 2012
CreatorsRajpaul, Vinesh
ContributorsMenzies, John W, Stewart, I M, Woudt, Patrick Alan
PublisherUniversity of Cape Town, Faculty of Science, Department of Astronomy
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeMaster Thesis, Masters, MSc
Formatapplication/pdf

Page generated in 0.0021 seconds