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Astrophysics > Instrumentation and Methods for Astrophysics

arXiv:1808.00589 (astro-ph)
[Submitted on 1 Aug 2018 ]

Title: SLM-based Digital Adaptive Coronagraphy: Current Status and Capabilities

Title: 基于SLM的数字自适应日冕仪:现状与能力

Authors:Jonas Kuhn, Polychronis Patapis, Xin Lu, Marcel Arikan
Abstract: Active coronagraphy is deemed to play a key role for the next generation of high-contrast instruments, notably in order to deal with large segmented mirrors that might exhibit time-dependent pupil merit function, caused by missing or defective segments. To this purpose, we recently introduced a new technological framework called digital adaptive coronagraphy (DAC), making use of liquid-crystal spatial light modulators (SLMs) display panels operating as active focal-plane phase mask coronagraphs. Here, we first review the latest contrast performance, measured in laboratory conditions with monochromatic visible light, and describe a few potential pathways to improve SLM coronagraphic nulling in the future. We then unveil a few unique capabilities of SLM-based DAC that were recently, or are currently in the process of being, demonstrated in our laboratory, including NCPA wavefront sensing, aperture-matched adaptive phase masks, coronagraphic nulling of multiple star systems, and coherent differential imaging (CDI).
Abstract: 主动日冕仪被认为将在下一代高对比度仪器中发挥关键作用,特别是在处理可能由于缺失或损坏的镜片而产生随时间变化的光瞳质量函数的大尺寸分段镜面时。 为此,我们最近引入了一种称为数字自适应日冕仪(DAC)的新技术框架,利用液晶空间光调制器(SLMs)显示屏作为主动焦平面对相位掩模日冕仪。 在此,我们首先回顾了在实验室条件下用单色可见光测得的最新对比度性能,并描述了一些未来改进SLM日冕仪消零的潜在途径。 然后,我们揭示了一些基于SLM的DAC的独特能力,这些能力最近或目前正在我们的实验室中被展示,包括非共轭像差波前传感、与光阑匹配的自适应相位掩模、多星系统的日冕仪消零以及相干差分成像(CDI)。
Comments: 14 pages, 9 figures, to appear in Proceedings of the SPIE, paper 10706-93
Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM) ; Optics (physics.optics)
Cite as: arXiv:1808.00589 [astro-ph.IM]
  (or arXiv:1808.00589v1 [astro-ph.IM] for this version)
  https://doi.org/10.48550/arXiv.1808.00589
arXiv-issued DOI via DataCite

Submission history

From: Jonas Kühn [view email]
[v1] Wed, 1 Aug 2018 22:39:58 UTC (3,092 KB)
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