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Proceedings Paper

Scheduling and target selection optimization for exoplanet imaging spacecraft
Author(s): Dean R. Keithly; Dmitry Savransky; Daniel Garrett; Christian Delacroix
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Paper Abstract

Space-based extrasolar planet imaging mission performance is dependent on selection of optimal targets, integration times, and scheduling each observation. We use the WFIRST space telescopes stellar coronagraphic instrument as a baseline to compare simulated exoplanet detection yield of multiple target selection and scheduling algorithms. Using completeness as a reward metric and integration time plus overhead time as a cost metric, we simultaneously optimize the observation list and integration times. To schedule these observations, we present different dynamic planning and static planning algorithms and validate their performance in “realistic” Monte Carlo simulations using the Exoplanet Open-Source Imaging Mission Simulator (EXOSIMS) software package. We test these algorithms with completeness generated from different assumed planet populations to demonstrate robustness in deviation of the actual planet population from the planned planet population.

Paper Details

Date Published: 16 July 2018
PDF: 17 pages
Proc. SPIE 10698, Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave, 106985I (16 July 2018); doi: 10.1117/12.2311717
Show Author Affiliations
Dean R. Keithly, Cornell Univ. (United States)
Dmitry Savransky, Cornell Univ. (United States)
Daniel Garrett, Cornell Univ. (United States)
Christian Delacroix, Princeton Univ. (United States)

Published in SPIE Proceedings Vol. 10698:
Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave
Makenzie Lystrup; Howard A. MacEwen; Giovanni G. Fazio; Natalie Batalha; Nicholas Siegler; Edward C. Tong, Editor(s)

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