Space Studies Master’s student, Katie McIntyre, will defend her thesis as follows. Please show your support by attending.
When: Tuesday, April 23rd at 2:00 p.m. (Central DST)
Where: Ryan Hall, Room 111
Title: “Applying Machine Learning to Asteroid Classification Utilizing Spectroscopically Derived Spectrophotometry”
About the topic: This thesis aims to further the understanding of the relationship between asteroid classification and observational properties by combining historical tools and perspectives with the computational capabilities of the present. To meet this objective, a machine learning algorithm was applied to derived spectrophotometric data in the visible and near-infrared wavelength regions and compared to classification efforts through the Bus-DeMeo taxonomy.
About the presenter: Katie McIntyre earned a B.S. in Astronomy and a B.A. in Physics from the University of Florida in 2011. Since then she has been teaching all ages from toddlers through undergraduate students. When she is not working, Katie loves to travel and volunteer at astronomy nights with local Girl and Boy Scouts. She hopes to earn her M.S. in Space Studies in order to further share her love of space and science through teaching.
******Those unable to attend in person may view the live webcast******
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