Automated Detection and Classification of Variable Stars

Matthew Alexander Thompson Missouri State University Advisors: Drs. Mike Reed and Lloyd Smith


Abstract
Automated processing of survey data is a vital aspect of any survey, large or small. It can save months of valuable time spent applying the same methods on every piece of incoming data. We present a simple suite of tools for detecting and classifying variable stars without human interaction. Such a process could make large surveys economically feasible and allow astronomers to focus on the most important stars for further study. Our goals include compatibility with preexisting tools and ease of use. This research is a work in progress but we will discuss features that will be implemented in the future.
Matthew Thompson is senior at Missouri State University. He is majoring in Computer Science with a minor in Math and Physics. He was born in Hardin, Montana. Currently, he lives and works in Springfield, Missouri. He studies computer graphics, programming languages and astronomy.
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