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Three recipes for improving the image quality with optical long-baseline interferometers: BFMC, LFF, and DPSC

机译:使用光学长基线干涉仪改善图像质量的三种方法:BFMC,LFF和DPSC

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We present here three recipes for getting better images with optical interferometers. Two of them, Low-Frequencies Filling and Brute-Force Monte Carlo were used in our participation to the Interferometry BeautyContest this year and can be applied to classical imaging using Vsup2/sup and closure phases. These two addition to image reconstruction provide a way of having more reliable images. The last recipe is similar in its principleas the self-calibration technique used in radio-interferometry. We call it also self-calibration, but it uses thewavelength-differential phase as a proxy of the object phase to build-up a full-featured complex visibility setof the observed object. This technique needs a first image-reconstruction run with an available software, usingclosure-phases and squared visibilities only. We used it for two scientific papers with great success. We discusshere the pros and cons of such imaging technique.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:我们在此介绍三种使用光学干涉仪获得更好图像的方法。今年我们参加了干涉测量选美大赛,其中使用了低频填充和蛮力蒙特卡洛这两种方法,它们可以用于使用V 2 和闭合阶段的经典成像。图像重建的这两个附加功能提供了一种具有更可靠图像的方式。最后一个配方在原理上与无线电干涉仪中使用的自校准技术相似。我们也称其为自校准,但是它使用波长微分相位作为对象相位的代理,以建立被观察对象的全功能复杂可见性集。该技术需要使用可用软件进行第一次图像重建,并且仅使用封闭阶段和平方可见性。我们将其用于两篇科学论文,取得了巨大的成功。我们在这里讨论这种成像技术的优缺点。©(2012)版权所有,美国光电仪器工程师协会(SPIE)。摘要的下载仅允许个人使用。

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