A Community Exoplanet Imaging Data Challenge for Roman CGI and Starshade Rendezvous
Margaret C. Turnbull, Neil Zimmerman, Julien H. Girard, Sergi R., Hildebrandt, Zhexing Li, Ell Bogat, Junellie Gonzalez-Quiles, Christopher, Stark, Avi Mandell, Tiffany Meshkat, Stephen R. Kane

TL;DR
The paper evaluates the Roman Exoplanet Imaging Data Challenge, demonstrating how combining radial velocity data with coronagraph and starshade imaging improves exoplanet detection and characterization.
Contribution
It introduces a community challenge framework and shows that combining multiple observational methods enhances exoplanet detection and parameter estimation.
Findings
Starshade imaging improves signal-to-noise ratio by a factor of ~4 over HLC.
Two epochs of starshade imaging with RV data constrain exoplanet mass and orbit effectively.
Combining HLC, starshade, and RV data yields twice the accuracy in orbit and mass determinations.
Abstract
Operating in an unprecedented contrast regime ( to ), the Roman Coronagraph Instrument (CGI) will serve as a pathfinder for key technologies needed for future Earth-finding missions. The Roman Exoplanet Imaging Data Challenge (Roman EIDC) was a community engagement effort that tasked participants with extracting exoplanets and their orbits for a 47 UMa-like target star, given: (1) 15 years of simulated precursor radial velocity (RV) data, and (2) six epochs of simulated imaging taken over the course of the Roman mission. The Roman EIDC simulated images include 4 epochs with CGI's Hybrid Lyot Coronagraph (HLC) plus 2 epochs with a starshade (SS) assumed to arrive as part of a Starshade Rendezvous later in the mission. Here, we focus on our in-house analysis of the outermost planet, for which the starshade's higher throughput and lower noise floor present a factor of ~4…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astro and Planetary Science · Astronomy and Astrophysical Research
