Scheduling and target selection optimization for exoplanet imaging spacecraft

Dean R. Keithly; Dmitry Savransky; Daniel Garrett; Christian Delacroix

doi:10.1117/12.2311717

16 July 2018 Scheduling and target selection optimization for exoplanet imaging spacecraft

Dean R. Keithly, Dmitry Savransky, Daniel Garrett, Christian Delacroix

Proceedings Volume 10698, Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave; 106985I (2018) https://doi.org/10.1117/12.2311717
Event: SPIE Astronomical Telescopes + Instrumentation, 2018, Austin, Texas, United States

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.

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Dean R. Keithly, Dmitry Savransky, Daniel Garrett, and Christian Delacroix "Scheduling and target selection optimization for exoplanet imaging spacecraft", Proc. SPIE 10698, Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave, 106985I (16 July 2018); https://doi.org/10.1117/12.2311717

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KEYWORDS

Exoplanets

Space operations

Monte Carlo methods

Planets

Computer simulations

Detection and tracking algorithms

Space telescopes

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