Computer Science – Performance
Scientific paper
Aug 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009spie.7440e...7s&link_type=abstract
Techniques and Instrumentation for Detection of Exoplanets IV. Edited by Shaklan, Stuart B. Proceedings of the SPIE, Volume 744
Computer Science
Performance
4
Scientific paper
We use our automated Design Reference Mission construction framework to evaluate the performance of multiple direct exoplanet imager mission concepts on a variety of metrics including: total number of planetary detections, number of unique planets found, number of target stars observed and number of successful spectral characterizations. We evaluate designs of self-contained coronagraphs and co-orbiting occulters. Performance is evaluated on simulated universes with differing frequencies of planets and varying expected occurrence rates of different planet types.
Kasdin Jeremy N.
Savransky Dmitry
Spergel David N.
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