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Space-based planet detection using two MEMS DMs and a shaped pupil

机译:使用两个MEMS DM和一个成形瞳孔进行天基行星探测

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NASA and the astronomy community hope to soon launch a new space-based telescope to detect and characterize extrasolar planets. Detecting extrasolar planets with angular separations and contrast levels similar to Earth requires not only a large space-based observatory but also advanced starlight suppression techniques. One promising approach is coronagraphy via shaped pupils. Shaped pupil coronagraphs are binary pupil functions that modify the point spread function of a telescope to produce regions of high contrast. Unfortunately, the contrast performance of coronagraphs is highly sensitive to optical errors, thus necessitating wavefront control to retrieve the necessary contrast levels. Using two MEMS deformable mirrors in series with the coronagraph allows us to control both the phase and amplitude aberrations over a finite wavelength range. Given an estimate of the wavefront we have developed an optimal controller that minimizes actuator strokes on the deformable mirrors subject to a constraint that it achieve a targeted contrast level in a defined region of the image. To provide an estimate for the controller that is accurate enough to converge to a solution that achieves the required ten orders of magnitude, the electric field must be estimated using the science camera to avoid any non-common path errors. The estimate is found by either using a batch process or Kalman filter technique which uses multiple image pairs with conjugated deformable mirror settings to estimate the field prior to evaluating the control shape. This paper outlines the algorithms used and presents our laboratory results.
机译:美国宇航局和天文学界希望尽快推出一种新的天基望远镜,以探测和表征太阳系外行星。要探测类似于地球的角间隔和对比度水平的太阳系外行星,不仅需要大型的太空天文台,还需要先进的星光抑制技术。一种有前途的方法是通过成形瞳孔进行冠状动脉造影。成形的瞳孔日冕仪是二元瞳孔功能,可修改望远镜的点扩展功能以产生高对比度区域。不幸的是,日冕仪的对比度性能对光学误差高度敏感,因此必须进行波前控制才能获得必要的对比度水平。使用两个与日冕仪串联的MEMS变形镜可使我们在有限的波长范围内控制相位和振幅像差。给定波前的估计值,我们开发了一种最佳控制器,该控制器在受到限制的前提下将可变形反射镜上的执行器行程最小化,以使其在图像的定义区域内达到目标对比度水平。为了为控制器提供足够准确的估算值,以收敛到达到所需的十个数量级的解决方案,必须使用科学相机估算电场,以避免任何非常见的路径误差。通过使用批处理或卡尔曼滤波技术可以找到估计值,该技术使用具有共轭可变形镜设置的多个图像对在评估控制形状之前估计场。本文概述了所使用的算法,并介绍了我们的实验室结果。

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