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
Keywords
astronomy, deep neural networks, artificial intelligence, machine learning, classification
Abstract
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.
Recommended Citation
Macpherson, Andrew D., "Using Deep Neural Networks to Classify Astronomical Images" (2023). Honors Projects. 181.
https://digitalcommons.spu.edu/honorsprojects/181
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
Copyright Status
http://rightsstatements.org/vocab/InC-EDU/1.0/
Additional Rights Information
Copyright held by author.
Included in
Analysis Commons, Artificial Intelligence and Robotics Commons, External Galaxies Commons, Other Astrophysics and Astronomy Commons, Other Physics Commons
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Comments
A project submitted in partial fulfillment of the requirements of the University Scholars Honors Program.