|
Matthew Alexander Thompson
Department of Physics, Astronomy, and Materials Science
Missouri State University
Advisors: Drs. Mike Reed and Lloyd Smith
Abstract
Astronomical surveys can generate massive amounts of data in a short amount of time. Processing and sifting useful information from this data can be a daunting task, especially as more observatories automate their hardware. A toolset for automatically processing data and detecting variable stars is presented. This toolset is being deployed as a part of the Baker Observatory Sub-minute Survey1. The primary focus of this study is detecting short-period variability, though methods for detecting long period variability were employed as well.
Matthew Thompson is graduate student at Missouri State University. He is majoring in Natural and Applied Science and holds a bachelor's in Computer Science. Matt was born in Hardin, Montana. Currently, he lives and works in Springfield, Missouri. He studies computer graphics, programming languages, and astronomy.
|
