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- W4387362458 abstract "NASA is currently responding to the recommendations of the astrophysics decadal survey via its Great Observatories Maturation Program and preparing for the maturation of the Habitable Worlds Observatory, which will have a key science goal of exoplanet detection and characterization. An important element of this process is the evaluation of the impact of mission design decisions on mission science outcomes. One approach to such science yield modeling is via Monte Carlo Mission Simulation (MCMS) - the generation of ensembles of simulated mission schedules from which performance metric statistics can be derived. MCMS requires the ability to automatically schedule such observing sequences based on a mission concept’s stated operating rules. However, inefficiencies in the scheduler can lead to suboptimal performance and decreases in expected science yield that are not driven by any design decisions. Here, we discuss approaches to quantifying the impacts of schedulability and scheduling inefficiencies on science yields, and present a new method for validating scheduler efficiency." @default.
- W4387362458 created "2023-10-06" @default.
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- W4387362458 date "2023-10-05" @default.
- W4387362458 modified "2023-10-06" @default.
- W4387362458 title "Quantifying the impacts of schedulability on science yield of exoplanet imaging missions" @default.
- W4387362458 doi "https://doi.org/10.1117/12.2677102" @default.
- W4387362458 hasPublicationYear "2023" @default.
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