论文标题
APLC优化：一个荒谬的学生Lyot Coronagraph设计调查工具包
APLC-Optimization: an apodized pupil Lyot coronagraph design survey toolkit
论文作者
论文摘要
我们提出了一个公开可用的软件包，用于探索各种望远镜体系结构的Apodized Pupil Lyot Coronagraph（APLC）解决方案。特别是，该软件包优化了给定的焦点面膜和Lyot停止几何形状的APLC的插度分量，以满足给定焦点区域（即深色区域）中的冠状动脉强度上的一组约束（对比度，带宽等）。该软件包将高对比度成像仿真软件包HCIPY与第三方数学优化器（Gurobi）结合在一起，以计算最大化传输的线性优化二进制掩码。我们提供了该工具包在几种不同的望远镜几何形状上应用的示例，包括Gemini Planet Imager（GPI）和高对比度成像仪用于复杂的光圈望远镜（HICAT）测试台。最后，我们总结了2020年NASA年代际调查建议的6〜M光圈离轴空间望远镜的初步设计调查的结果，并探索了针对不同细分尺寸的APLC解决方案。然后，我们使用基于配对的分析模型从空间（Pastis）进行分割的望远镜成像，以对这些解决方案进行分段的波前误差分析。
We present a publicly available software package developed for exploring apodized pupil Lyot coronagraph (APLC) solutions for various telescope architectures. In particular, the package optimizes the apodizer component of the APLC for a given focal-plane mask and Lyot stop geometry to meet a set of constraints (contrast, bandwidth etc.) on the coronagraph intensity in a given focal-plane region (i.e. dark zone). The package combines a high-contrast imaging simulation package HCIPy with a third-party mathematical optimizer (Gurobi) to compute the linearly optimized binary mask that maximizes transmission. We provide examples of the application of this toolkit to several different telescope geometries, including the Gemini Planet Imager (GPI) and the High-contrast imager for Complex Aperture Telescopes (HiCAT) testbed. Finally, we summarize the results of a preliminary design survey for the case of a 6~m aperture off-axis space telescope, as recommended by the 2020 NASA Decadal Survey, exploring APLC solutions for different segment sizes. We then use the Pair-based Analytical model for Segmented Telescope Imaging from Space (PASTIS) to perform a segmented wavefront error tolerancing analysis on these solutions.
