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Sizing of a Raven-class telescope using performance sensitivities

机译:使用性能敏感性的乌鸦级望远镜的尺寸

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This work details the sizing and selection of components for a Raven-class telescope to be constructed at the Georgia Institute of Technology, and makes four main contributions. The first is the development of a novel performance metric that quantifies the accuracy of initial orbit estimates generated by the Raven. The second is the derivation of a limiting magnitude metric utilized to bound the detection capability of the Raven. The third is the computation of local sensitivity relationships, which identify the variables that have the greatest impact on Raven system performance metrics. The derived sensitivities can be used to assist the designer in evaluating performance tradeoffs and quantify the amount of improvement in system performance per unit cost. Finally, Raven system performance metrics are used to construct several Pareto frontiers for Ravens operating in different optical environments. The most important insight provided by these Pareto frontiers is that Raven-class telescopes located in optically noisy environments, such as Atlanta, should be designed to maximize the accuracy of initial orbit estimates rather than maximizing detection limit performance. These plots also highlight the diminishing return of increasingly large aperture diameters, demonstrating the value of the Raven design paradigm.
机译:这项工作详细介绍了乌鸦级望远镜的尺寸和选择,以便在佐治亚州理工学院建造,并进行四项主要贡献。首先是开发一种新颖性能指标,可以定量乌鸦产生的初始轨道估计的准确性。第二个是用于限制乌鸦的检测能力的限制幅度度量的推导。第三是计算局部灵敏度关系,该关系识别对乌黑系统性能指标具有最大影响的变量。衍生的敏感度可用于帮助设计师评估性能权衡,并量化每单位成本的系统性能的改善量。最后,Raven系统性能指标用于构造用于在不同光学环境中运行的乌鸦的几个帕累托前沿。这些帕累托前沿提供的最重要的见解是,位于光学嘈杂的环境(如亚特兰大)的Raven级望远镜应旨在最大限度地提高初始轨道估计的准确性,而不是最大化检测极限性能。这些绘图还突出了越来越大的光圈直径的递回递减,展示了乌鸦设计范式的价值。

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