Computer Science – Performance
Scientific paper
Sep 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007spie.6675e...8l&link_type=abstract
Optical Modeling and Performance Predictions III. Edited by Kahan, Mark A.. Proceedings of the SPIE, Volume 6675, pp. 66750A (2
Computer Science
Performance
Scientific paper
In this paper we investigate the effects of several key system parameters related to development of a space-based observatory for discovering near-earth objects (NEOs). The space-based mission is seen as complementary to ground-based observations for identifying objects with the potential to impact the Earth. A system model is developed from an articial data set of 1218 NEOs with initial orbital elements generated from a probability distribution model similar to that incorporated in the NASA NEO Science Definition Team Report. By running the model over a 7 year period, the statistics of NEO detection can be investigated as a function of changes to telescope parameters. This paper discusses the system model development of orbital models, radiometric calculations and some initial results from parameter studies on the engineering design.
Arentz Robert
Hardesty Chuck
Lieber Mike
Linfield Roger
Reitsema Harold
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