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Published January 2018 | Published + Submitted
Journal Article Open

A New Standard for Assessing the Performance of High Contrast Imaging Systems

Abstract

As planning for the next generation of high contrast imaging instruments (e.g., WFIRST, HabEx, and LUVOIR, TMT-PFI, EELT-EPICS) matures and second-generation ground-based extreme adaptive optics facilities (e.g., VLT-SPHERE, Gemini-GPI) finish their principal surveys, it is imperative that the performance of different designs, post-processing algorithms, observing strategies, and survey results be compared in a consistent, statistically robust framework. In this paper, we argue that the current industry standard for such comparisons—the contrast curve—falls short of this mandate. We propose a new figure of merit, the "performance map," that incorporates three fundamental concepts in signal detection theory: the true positive fraction, the false positive fraction, and the detection threshold. By supplying a theoretical basis and recipe for generating the performance map, we hope to encourage the widespread adoption of this new metric across subfields in exoplanet imaging.

Additional Information

© 2017. The American Astronomical Society. Received 2017 February 12; revised 2017 October 31; accepted 2017 October 31; published 2017 December 15. This work has been supported by the Keck Institute for Space Studies and the NASA Exoplanet Exploration Program Study Analysis Group #19: Exoplanet Imaging Signal Detection Theory and Rigorous Contrast Metrics. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under grant No. DGE-1144469. G.R. is supported by an NSF Astronomy and Astrophysics Postdoctoral Fellowship under award AST-1602444. C.G.G. and O.A. acknowledge funding from the European Research Council Under the European Union's Seventh Framework Program (ERC Grant Agreement No. 337569) and from the French Community of Belgium through an ARC grant for Concerted Research Action. Software: Vortex Image Processing (Gomez Gonzalez et al. 2017).

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Published - Jensen-Clem_2018_AJ_155_19.pdf

Submitted - 1711.01215.pdf

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August 21, 2023
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