Date of Award
University Scholars Director
Dr. Christine Chaney
First Advisor/Committee Member
Dr. Lisa Goodhew
Second Advisor/Committee Member
Dr. John Lindberg
astronomy, deep neural networks, artificial intelligence, machine learning, classification
As the quantity of astronomical data available continues to exceed the resources available for analysis, recent advances in artificial intelligence encourage the development of automated classification tools. This paper lays out a framework for constructing a deep neural network capable of classifying individual astronomical images by describing techniques to extract and label these objects from large images.
Macpherson, Andrew D., "Using Deep Neural Networks to Classify Astronomical Images" (2023). Honors Projects. 181.
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