SGER: Adaptive Intelligent Interferometric Imaging Systems

摘要提案编号：0841334提案名称：SGER：自适应智能干涉成像系统名称：Suman ChakravortyPI机构：Texas a&m University - Texas工程实验站目标：PI将开发新技术，以提高我们对遥远天文目标（如太阳系外系统和原行星盘）进行高分辨率成像的能力（并降低成本）。这些高分辨率成像任务将通过使用多航天器干涉成像系统（MSIIS）来解决。这种系统通过干扰由这种系统的组件航天器携带的小孔径望远镜收集的光来合成一个大的光学孔径。这种系统的机动设计的最新技术试图均匀地填充图像的傅里叶/u-v平面。然而，由于任何图像的傅里叶平面都是非常稀疏的，因此这种操作会导致资源的极度浪费。本文提出的新方法旨在减少这种浪费，从而大大降低实现天文成像宏伟目标的成本。建议的智力优点：智能想象方法被表述为一个随机自适应控制问题。它包括：(a)基于Hanbury-Brown-Twiss （HB-T）量子光学效应的强度相关干涉测量；(b)利用组件航天器进行的噪声干涉测量形成图像的恒定概率估计；(c)利用该图像的概率估计来引导组件航天器的运动，使系统的大部分资源用于探索u-v平面的“信息丰富”区域。基于HB-T效应的强度相关干涉测量（ICI）使精度控制要求降低了几个数量级。图像估计问题将由一种基于频率统计的新方法来解决。提出了利用估计算法对图像内容的概率估计，采用近似动态规划（ADP）方法求解航天器运动规划问题。提案的广泛影响：这项新技术将允许开发迄今为止闻所未闻的具有有效孔径尺寸的高分辨率成像系统。例如，它可能使我们在距离地球100到100光年的地球大小的行星上探测植物的光谱特征变得更加可行和负担得起。作为该项目的一部分，招募研究生，本科生和高中生参加在TAMU地面天文台进行的研究，将为这些学生打开新的世界。在这些学生中，将有少数族裔学生，他们将积极从布莱恩高中（BHS）招募。

AbstractProposal Number: 0841334Proposal Title: SGER: Adaptive Intelligent Interferometric Imaging SystemPI Name: Suman ChakravortyPI Institution: Texas A&M University - Texas Engineering Experiment StationObjective: The PI will develop new technology to improve our ability (and reduce the cost) to perform high resolution imaging of distant astronomical targets such as exo-solar systems and protoplanetary disks. These high resolution imaging tasks will be addressed by using multi-spacecraft interferometric imaging systems (MSIIS). Such systems synthesize a large optical aperture by interfering the light collected by smaller aperture telescopes carried by the component spacecraft of such systems. The state of the art for the maneuver design of such systems attempts to uniformly fill the Fourier/u-v plane of the image. However, such maneuvers lead to an exceedingly wasteful expenditure of resources since the Fourier plane of any image is quite sparse. The new methodology proposed here is intended to reduce that waste, and thereby substantially reduce the cost of achieving ambitious goals in astronomical imaging. Intellectual merit of proposal: The intelligent imagining methodology is formulated as a stochastic adaptive control problem. It consists of: (a) intensity correlation interferometry based on the Hanbury-Brown-Twiss (HB-T) quantum optic effect; (b) forming a constant probabilistic estimate of the image using noisy interferometric measurements made by the component spacecraft; and (c) utilizing this probablilistic estimate of the image to guide the motion of the component spacecraft such that most of the resources of the system are utilized in exploring the "information rich" areas of the u-v plane. Intensity correlation interferometry (ICI) based on the HB-T effect results in relaxation of the precision control requirements by several orders of magnitude. The image estimation problem will be addressed by a new methodology grounded in frequentist statistics. The motion planning of the spacecraft is proposed to be solved using approximate dynamic programming (ADP) utilizing the probabilistic estimates of the image content from the estimation algorithm. Broad impact of proposal: This new technology should permit the development of high resolution imaging systems with effective aperture sizes that are heretofore unheard of. For example, it may make it far more feasible and affordable for us to detect the spectral signature of plant life in earth-sized planets within 100 to 100 light years of earth. The recruitment of graduate, undergraduate and high school students to participate in the research performed at the ground-based observatory in TAMU as part of this project will literally opn new worlds for these students. Among these students will be underrepresented minority students who will be actively recruited from Bryan High School (BHS).