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.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uct/oai:localhost:11427/11219 |
Date | January 2012 |
Creators | Rajpaul, Vinesh |
Contributors | Menzies, John W, Stewart, I M, Woudt, Patrick Alan |
Publisher | University of Cape Town, Faculty of Science, Department of Astronomy |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Master Thesis, Masters, MSc |
Format | application/pdf |
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