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dc.contributor.advisorHorne, K. (Keith)
dc.contributor.authorBajek, David J.
dc.description.abstractGravitational Microlensing, as a technique for detecting Extrasolar Planets, is recognised for its potential in discovering small-mass planets similar to Earth, at a distance of a few Astronomical Units from their host stars. However, analysing the data from microlensing events (which statistically rarely reveal planets) is complex and requires continued and intensive use of various networks of telescopes working together in order to observe the phenomenon. As such the techniques are constantly being developed and refined; this project outlines some steps of the careful analysis required to model an event and ensure the best quality data is used in the fitting. A quantitative investigation into increasing the quality of the original photometric data available from any microlensing event demonstrates that 'lucky imaging' can lead to a marked improvement in the signal to noise ratio of images over standard imaging techniques, which could result in more accurate models and thus the calculation of more accurate planetary parameters. In addition, a simulation illustrating the effects of atmospheric turbulence on exposures was created, and expanded upon to give an approximation of the lucky imaging technique. This further demonstrated the advantages of lucky images which are shown to potentially approach the quality of those expected from diffraction limited photometry. The simulation may be further developed for potential future use as a 'theoretical lucky imager' in our research group, capable of producing and analysing synthetic exposures through customisable conditions.en_US
dc.publisherUniversity of St Andrews
dc.rightsCreative Commons Attribution-ShareAlike 3.0 Unported
dc.subject.lcshMicrolensing (Astrophysics)en_US
dc.subject.lcshExtrasolar planetsen_US
dc.subject.lcshPhotometry, Astronomicalen_US
dc.titleMicrolensing for extrasolar planets : improving the photometryen_US
dc.type.qualificationnameMPhil Master of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US

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Creative Commons Attribution-ShareAlike 3.0 Unported
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