OP: Collaborative Research: Active Speckle Control and Fast Speckle Statistics to Drastically Improve the Contrast Ratio of Exoplanet Direct Imaging

OP：协作研究：主动散斑控制和快速散斑统计显着提高系外行星直接成像的对比度

• 批准号: 1710210
• 负责人: Dimitri Mawet
• 金额: $ 25.55万
• 依托单位: California Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1710210&HistoricalAwards=false
• 关键词: OP; Collaborative; Research; Active; Speckle

Astronomers would like to image habitable planets around other stars. Turbulence in Earth's atmosphere is the main obstacle to achieving this goal. Such turbulence blurs and confuses light from bright stars with their nearby, dim planets. Adaptive optics can partially correct for turbulence. However, even adaptive optics pushed to its limits (Extreme Adaptive Optics, ExAO) is still insufficient to deliver the required high-contrast images. Mazin and collaborators will develop an innovative control algorithm that makes use of new, highly responsive detectors. This approach will enable ExAO images to separate exoplanets from their parent stars. The resulting algorithm will be tested and used at several observatories. This technology may enable breakthrough advances in ground-based astronomy and allow the discovery of habitable worlds outside our solar system.This proposal is a continuation of Microwave Kinetic Inductance Detector (MKID) research and development that was supported by previous NSF awards (1308556 and1654105). These previous awards supported the instrument development and deployment at Palomar Observatory. This award will develop algorithms and methodology to use the instrument to increase contrast in Extreme Adaptive Optics (ExAO) images of exoplanets. Increasing contrast is the main technical challenge for imaging exoplanets with ExAO. The greatest obstacle is short timescale atmospheric speckles that are uncorrected by the AO system. This proposal will use the fast time response of the MKID detectors to remove speckles from images ex post facto using the photon arrival time statistics. Direct detection and study of Earth-like exoplanets would realize a major goal of astronomy in the coming decade.

天文学家们想在其他恒星周围拍摄可居住的行星。 地球大气层中的湍流是实现这一目标的主要障碍。 这种湍流使明亮恒星发出的光与附近昏暗行星发出的光模糊不清。 自适应光学可以部分校正湍流。 然而，即使自适应光学被推到极限（极端自适应光学，ExAO）仍然不足以提供所需的高对比度图像。 Mazin和合作者将开发一种创新的控制算法，利用新的高度响应的探测器。 这种方法将使ExAO图像能够将系外行星与其母星分离。 由此产生的算法将在几个观测站进行测试和使用。 这项技术可能会使突破性的进展，在地基天文学，并允许我们的太阳系外的宜居世界的发现。这项建议是微波动力学电感探测器（MKID）的研究和发展，是由以前的NSF奖（1308556和1654105）的支持的延续。 这些先前的奖项支持了Palomar天文台的仪器开发和部署。 该奖项将开发算法和方法，使用该仪器来增加系外行星极端自适应光学（ExAO）图像的对比度。增加对比度是ExAO成像系外行星的主要技术挑战。 最大的障碍是短时间尺度的大气散斑，这是未经修正的AO系统。 该提案将使用MKID探测器的快速时间响应，使用光子到达时间统计来事后从图像中去除散斑。 直接探测和研究类地系外行星将在未来十年实现天文学的一个主要目标。

项目成果

Demonstration of an electric field conjugation algorithm for improved starlight rejection through a single mode optical fiber

• DOI: 10.1117/1.jatis.5.1.019004
• 发表时间: 2019-03
• 期刊: Journal of Astronomical Telescopes, Instruments, and Systems
• 作者: Jorge Llop Sayson;G. Ruane;D. Mawet;N. Jovanovic;B. Calvin;N. Levraud;M. Roberson;J. Delorme;D. Echeverri;N. Klimovich;Y. Xin