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Optimal Observational Scheduling Framework for Binary and Multiple Stellar Systems
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DOI：10.1088/1538-3873/acaebc.png)
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Abstract
En 中文
The optimal instant of observation of astrophysical phenomena for objects that vary on human timescales is an important problem, as it bears on the cost-effective use of usually scarce observational facilities. In this paper, we address this problem in the case of tight visual binary systems through a Bayesian framework based on the maximum entropy sampling principle. Our proposed information-driven methodology exploits the periodic structure of binary systems to provide a computationally efficient estimation of the probability distribution of the optimal observation time. We show the optimality of the proposed sampling methodology in the Bayes sense and its effectiveness through direct numerical experiments. We successfully apply our scheme to the study of two visual-spectroscopic binaries and one purely astrometric triple hierarchical system. We note that our methodology can be applied to any time-evolving phenomena, a particularly interesting application in the era of dedicated surveys, where a definition of the cadence of observations can have a crucial impact on achieving the science goals.
Keywords:
OPTIMAL EXPERIMENTAL-DESIGN
LINE SPECTROSCOPIC BINARIES
VISUAL BINARIES
INFORMATION
SAMPLER
ORBITS
CODE
Journal
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