Date of Award
May 2024
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Aerospace Sciences
First Advisor
Ronald A. Fevig
Abstract
The Sloan Digital Sky Survey (SDSS) Moving Object Catalog (MOC) shows color variations between asteroid observations, which were observed multiple times. This is a surprising result that was not identified in the literature. Therefore, a data processing pipeline was built to extract the asteroid observations to analyze new data collected with the SMARTS 1.0m and 4m Blanco with DECam. The results appear to confirm the color variations on short timescales. However, there is still a long series of steps required before such a result can be proven, such as ensuring the level of photometric accuracy in the processing is smaller than the variation error and that an unknown photometry error is the source of the variation.
Recommended Citation
Linder, Tyler, "Exploring Ambiguous Asteroid Taxonomic Classification" (2024). Theses and Dissertations. 6376.
https://commons.und.edu/theses/6376