Date of Award

Spring 5-20-2023

Document Type

Honors Project

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.


A project submitted in partial fulfillment of the requirements of the University Scholars Honors Program.

Appendix C - NGC Catalog.csv (118 kB)
Appendix C - NGC Catalog

Appendix D - HD Catalog.csv (69 kB)
Appendix D - HD Catalog

Appendix E - IC Catalog.csv (87 kB)
Appendix E - IC Catalog

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