Starshade Exoplanet Data Challenge
Renyu Hu, Sergi R. Hildebrandt, Mario Damiano, Stuart Shaklan, Stefan, Martin, Doug Lisman

TL;DR
The paper discusses the design and goals of a starshade exoplanet data challenge aimed at validating imaging models and understanding noise in the detection of small habitable-zone planets.
Contribution
It introduces a novel synthetic data challenge focusing on starshade-assisted imaging, including multiple noise sources, to improve exoplanet detection and characterization methods.
Findings
Development of synthetic images with realistic noise models
Validation of instrument performance requirements
Enhanced understanding of background calibration challenges
Abstract
Starshade in formation flight with a space telescope is a rapidly maturing technology that would enable imaging and spectral characterization of small planets orbiting nearby stars in the not-too-distant future. While performance models of the starshade-assisted exoplanet imaging have been developed and used to design future missions, their results have not been verified from the analyses of synthetic images. Following a rich history of using community data challenges to evaluate image-processing capabilities in astronomy and exoplanet fields, the Starshade Technology Development to TRL5 (S5), a focused technology development activity managed by the NASA Exoplanet Exploration Program, is organizing and implementing a starshade exoplanet data challenge. The purpose of the data challenge is to validate the flow down of requirements from science to key instrument performance parameters and…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astro and Planetary Science · Astronomy and Astrophysical Research
