Dissertation/Thesis Abstract

Effect of Observational Cadence on Orbit Determination for Synthetic Near-Earth Objects
by Endicott, Thomas G., M.S., University of Massachusetts Boston, 2017, 78; 10617372
Abstract (Summary)

Near-Earth Objects (NEOs) are generally small, dark, and fast-moving. Multiple observations over time are necessary to constrain NEO orbits. Orbits based on observational data are inherently uncertain. Here we describe code written in Python and Fortran used to generate synthetic asteroids and compare calculated orbital fit based on noisy ephemeris using the a distance criteria, D-value. Observational sessions separated by more than one month produce very good orbital fits (low D-values) even at the highest noise level. Daily observational sessions show the highest D-values, as expected, since observed points on the orbital ellipse are not well separated. D-value is closely correlated to differences in the eccentricity and inclination of compared orbits.

Indexing (document details)
Advisor: Celli, Jonathan
Commitee: Sundaram, Bala, Yelleswarapu, Chandra
School: University of Massachusetts Boston
Department: Applied Physics
School Location: United States -- Massachusetts
Source: MAI 57/01M(E), Masters Abstracts International
Subjects: Astronomy
Keywords: Asteroids, Orbit, Python
Publication Number: 10617372
ISBN: 978-0-355-25261-3
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