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arXiv 1407.0980astro-ph.IMastro-ph.EP
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用于复杂孔径望远镜的高对比度成像仪(HiCAT):2.设计概述和第一盏灯的结果

High-contrast imager for Complex Aperture Telescopes (HiCAT): 2. Design overview and first light results

Mamadou N'Diaye, Elodie Choquet, Sylvain Egron, Laurent Pueyo, Lucie Leboulleux, Olivier Levecq, Marshall D. Perrin, Erin Elliot, J. Kent Wallace, Emmanuel Hugo… 展开作者

Mamadou N'Diaye, Elodie Choquet, Sylvain Egron, Laurent Pueyo, Lucie Leboulleux, Olivier Levecq, Marshall D. Perrin, Erin Elliot, J. Kent Wallace, Emmanuel Hugot, Michel Marcos, Marc Ferrari, Chris A. Long, Rachel Anderson, Audrey DiFelice, Rémi Soummer

摘要:

我们提出了一个新的高对比度成像测试平台,旨在提供完整的解决方案,波前传感,控制和星光抑制与复杂的孔径望远镜。该试验台的设计是为了能够对这种望远镜几何形状的影响进行广泛的研究,包括主镜分割,中心障碍和蜘蛛。点扩散函数中的相关衍射特征使得高对比度成像更具挑战性。特别是,该试验台将与AFTA和ATLAST孔径形状兼容,分别为轴上单片和轴上分段望远镜。测试台光学设计是使用一种新颖的方法来定义布局和表面误差要求,以最大限度地减少目标对比度水平性能下的振幅引起的误差。在本文中,我们将每个光学器件的竣工表面误差与基于测试台端到端菲涅尔建模的规格进行比较。我们还报告了测试平台的光学和光学机械对准性能,日冕的设计和制造,以及初步的第一光的结果。

英文摘要:

We present a new high-contrast imaging testbed designed to provide complete solutions in wavefront sensing, control and starlight suppression with complex aperture telescopes. The testbed was designed to enable a wide range of studies of the effects of such telescope geometries, with primary mirror segmentation, central obstruction, and spiders. The associated diffraction features in the point spread function make high-contrast imaging more challenging. In particular the testbed will be compatible with both AFTA-like and ATLAST-like aperture shapes, respectively on-axis monolithic, and on-axis segmented telescopes. The testbed optical design was developed using a novel approach to define the layout and surface error requirements to minimize amplitude-induced errors at the target contrast level performance. In this communication we compare the as-built surface errors for each optic to their specifications based on end-to-end Fresnel modeling of the testbed. We also report on the testbed optical and optomechanical alignment performance, coronagraph design and manufacturing, and preliminary first light results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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