Point spread function determination for Keck adaptive optics: overview
Point spread function determination for Keck adaptive optics: overview
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Keck 自适应光学器件的点扩散函数确定：概述
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Shui Kwok
中科院分区：
文献类型：
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作者：
S. Ragland;L. Jolissaint;P. Wizinowich;G. Witzel;J. Chock;J. Mader;M. Morris;Shui Kwok
自适应光学（AO）的主要科学限制之一是对点扩散函数（PSF）的不完全了解，这使得它难以在拥挤和稀疏的领域中使用AO进行精确的测光和天体测量，提取内在形态和空间分辨运动学，以及在存在较亮光源的情况下检测微弱的光源。为了解决这个问题，我们启动了一个计划来确定和证明Keck AO获得的科学观测的PSF确定。本文旨在对凯克天文台科学观测实现这一能力所取得的进展作一概括性的介绍，并简要介绍其概念和实现方法。详细介绍了PSF自动重建原型操作工具的设计和开发。通过与NIRC 2科学相机的PSF进行比较，讨论了该技术的天空性能。该程序的PSF算法开发在本次会议的另一篇论文中介绍（Jolissaint et al. 2016）。
One of the primary scientific limitations of adaptive optics (AO) has been the incomplete knowledge of the point spread function (PSF), which has made it difficult to use AO for accurate photometry and astrometry in both crowded and sparse fields, for extracting intrinsic morphologies and spatially resolved kinematics, and for detecting faint sources in the presence of brighter sources. To address this we initiated a program to determine and demonstrate PSF determination for science observations obtained with Keck AO. This paper aims to give a broad view of the progress achieved in implementing this capability for Keck AO science observations.The concept and the implementation are briefly described. The design and development of prototype operational tools for automated PSF reconstruction is presented in detail. On-sky performance of the technique is discussed by comparing the reconstructed PSFs to the NIRC2 science camera’s PSFs. The PSF algorithm development for this program is presented in this conference in a separate paper (Jolissaint et al. 2016).