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Recent Advances in Stray Light Modeling for Large Telescope/Observatory Systems

机译:大型望远镜/天文台系统的杂散光型近似进展

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Stray light analyses have been a serious consideration in the development of optomechanical instrumentation from the time of Galileo. In the late 1960's and 1970's, NASA and the US Air Force realized that software modeling was the key to predictive development and analysis of optical systems and funded the first efforts to automate the analysis process with the development of the GUERAP and APART computer software programs.. The development of multi-wavelength scatterometers in that same era made it possible to more fully characterize the scatter properties of paints and other surface treatments.. These two improvements advanced stray light modeling capabilities and a well-developed modeling approach. In the past twenty years demands for modeling complex structures (e.g., individual screws and small vanes edges) coupled with requirements for ever increasing sensitivity have placed a tremendous computational burden on the stray light analyst. In this paper, we discuss the approaches to modeling today's complex telescope systems that frequently include stray light artifacts traceable to the complete observatory. Scatter modeling and data reduction has become major components of the stray light analysis task and recent work has identified instances where scatter measurements performed by skilled technicians are inaccurate and useless without additional analysis and interpretation. Finally we discuss common metrics for stray light characterization of large systems and how distributed computing, cloud computing, and GPU-enabled software allow the analyst to compute levels and uniformity of stray light in these systems to levels heretofore considered impossible.
机译:流浪光分析是在伽利略时期开发光学力学仪器的认真考虑。在1960年代后期和1970年代,美国宇航局和美国空军意识到软件建模是预测性开发和对光学系统分析的关键,并资助第一项努力通过开发Guerap和Apart计算机软件程序自动化分析过程。 。相同时代的多波长散射计的发展使得可以更充分地表征涂料和其他表面处理的散射性能。这两种改进了先进的杂散光线建模能力和良好的建模方法。在过去的二十年里,对复杂结构(例如,单独的螺钉和小型叶片边缘)的需求加上越来越多的敏感性的要求,对杂散光学分析师施加了巨大的计算负担。在本文中,我们讨论了展示了当今复杂的望远镜系统的方法,这些系统经常包括可追溯到完整的观测台的杂散光伪像。分散建模和数据减少已成为杂散光分析任务的主要组成部分,最近的工作已经确定了通过熟练技术人员执行的散射测量的实例不准确,无需额外的分析和解释。最后,我们讨论了大型系统的杂散光刻的常见度量以及分布式计算,云计算和GPU的软件如何允许分析师计算这些系统中的杂散光的水平和均匀性,以至于迄今为止认为不可能的水平。

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