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

A New Standard for Assessing the Performance of High Contrast Imaging Systems
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评估高对比度成像系统性能的新标准

DOI:
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发表时间:
2017
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通讯作者:
F. Cantalloube
F. Cantalloube
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作者:
R. Jensen;D. Mawet;C. G. Gomez Gonzalez;O. Absil;R. Belikov;T. Currie;M. Kenworthy;C. Marois;J. Mazoyer;G. Ruane;A. Tanner;F. Cantalloube

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随着下一代高对比度成像仪器(例如WFIRST、HabEx和LUVOIR、TMT-PFI、EELT-EPICS)规划的成熟,以及第二代陆基极端自适应光学设备(例如VLT-SPHERE、GEMINI-GPI)完成其主要测量,必须在一致的、统计稳健的框架内比较不同设计、后处理算法、观测策略和测量结果的性能。在这篇文章中,我们认为目前的行业标准--对比曲线--不符合这一要求。我们提出了一个新的优值系数,“性能图”,它包含了信号检测理论中的三个基本概念:真阳性分数、假阳性分数和检测阈值。通过提供生成性能图的理论基础和配方,我们希望鼓励在系外行星成像的子场中广泛采用这种新的度量标准。
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.