Poster + Paper
27 August 2022 Direct imaging mission planning with precursor radial velocity data: process and validation
Corey Spohn, Dmitry Savransky
Author Affiliations +
Conference Poster
Abstract
The National Academies’ Astronomy and Astrophysics 2020 decadal report gave high priority to a space-based flagship telescope that could directly image Earth-like exoplanets. The mission concept studies for such a mission suggested using the radial velocity exoplanet detection technique to inform when observations should be made. This idea shows promise but the exoplanet yield estimates thus far have not simulated the full process of fitting orbital parameters to an RV curve and attempting to make observations based on the fitted parameters. Current yield estimates assume what the final error on an exoplanet’s orbital parameters will be, which ignores potential relationships between fitted parameters. Here we show how to calculate the probability of directly imaging an exoplanet detected via radial velocity, explain how that metric can be validated through yield estimates, and demonstrate improvements to tools necessary for the yield calculations.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Corey Spohn and Dmitry Savransky "Direct imaging mission planning with precursor radial velocity data: process and validation", Proc. SPIE 12180, Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave, 121805C (27 August 2022); https://doi.org/10.1117/12.2627262
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KEYWORDS
Planets

Exoplanets

Stars

Data processing

Space telescopes

Visualization

Error analysis

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