Review of high-contrast imaging systems for current and future ground- and space-based telescopes I. Coronagraph design methods and optical performance metrics
G. Ruane, A. Riggs, J. Mazoyer, E. H. Por, M. N'Diaye, E. Huby, P., Baudoz, R. Galicher, E. Douglas, J. Knight, B. Carlomagno, K. Fogarty, L., Pueyo, N. Zimmerman, O. Absil, M. Beaulieu, E. Cady, A. Carlotti, D. Doelman,, O. Guyon, S. Haffert, J. Jewell, N. Jovanovic, C. Keller

TL;DR
This paper reviews design methods and performance metrics for coronagraphs used in ground- and space-based telescopes, highlighting recent advancements, tools, and the need for standardized metrics to evaluate exoplanet imaging capabilities.
Contribution
It provides a comprehensive overview of coronagraph design approaches, introduces optimization tools, and proposes standardized performance metrics for comparing coronagraph systems.
Findings
Development of various coronagraph design and optimization tools.
Proposal of standardized performance metrics for coronagraphs.
Enhanced understanding of how design choices impact exoplanet detection.
Abstract
The Optimal Optical Coronagraph (OOC) Workshop at the Lorentz Center in September 2017 in Leiden, the Netherlands gathered a diverse group of 25 researchers working on exoplanet instrumentation to stimulate the emergence and sharing of new ideas. In this first installment of a series of three papers summarizing the outcomes of the OOC workshop, we present an overview of design methods and optical performance metrics developed for coronagraph instruments. The design and optimization of coronagraphs for future telescopes has progressed rapidly over the past several years in the context of space mission studies for Exo-C, WFIRST, HabEx, and LUVOIR as well as ground-based telescopes. Design tools have been developed at several institutions to optimize a variety of coronagraph mask types. We aim to give a broad overview of the approaches used, examples of their utility, and provide the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
