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Activity Number:
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37
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Type:
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Invited
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Date/Time:
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Sunday, August 3, 2008 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #300397 |
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Title:
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Tracking Space Junk
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Author(s):
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Dave Higdon*+ and Earl Lawrence
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Companies:
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Los Alamos National Laboratory and Los Alamos National Laboratory
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Address:
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, , ,
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Keywords:
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filtering ; Markov chain Monte Carlo ; model selection
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Abstract:
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There are currently thousands of resident space objects orbiting the planet, and this number will grow substantially over the coming years. The challenge is to track these objects with the help of physical observations as well as computational models for their trajectories. This task is made difficult by limited observational resources, and by external factors such as atmospheric conditions and space weather that can alter an object's trajectory. In this talk we develop a Bayesian modeling approach that combines these deterministic simulation models with observations to track multiple objects.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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