Computer Science – Performance
Scientific paper
Sep 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aas...208.7604l&link_type=abstract
American Astronomical Society, AAS Meeting #208, #76.04
Computer Science
Performance
Scientific paper
We have previously developed a Monte Carlo model to generate planet orbits consistent with permanent residency in a star's habitable zone in order to calculate optimum revisit time for a planet hunting program. We have further enhanced our abilities by adding the capability to characterize the orbit of an exoplanet based on a visual observation history. According to our analysis, an exoplanet's orbit can be completely determined with three positive detections. In most cases, two detections and a no-detection is sufficient to conclude whether or not the planet is a permanent habitable zone resident. We expect five visits (various combinations of detection and no detection) are necessary to characterize any exoplanetary system containing at least one planet and compute its orbital parameters. We have developed a tool that takes the inputs of up to five visits (detection or no-detection, time between observations, and apparent exoplanet position) and generates all possible orbits of an exoplanet. We expect this tool to augment planet-hunting payload simulations and aid in scheduling and performance analysis for these missions.
Arenberg Jonathon
Lo Amy
Schuman Todd
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