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

机译:三种食谱,用于通过光学长基线干涉仪提高图像质量: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:我们在这里介绍三种食谱,用于通过光学干涉仪获得更好的图像。其中两个,低频填充和蛮力蒙特卡罗今年参与干涉大美容,可以应用于使用V 2 和闭合阶段的经典成像。这两个添加到图像重建提供了一种具有更可靠图像的方法。最后一个配方在其Principlea中具有无线电干涉测量中使用的自校准技术。我们也称为自校准,但它使用波长微分阶段作为对象阶段的代理,以构建观察到的对象的全功能复杂可见度。该技术需要使用可用软件,仅使用静态和平方可见点来运行第一图像重建。我们为两个科学论文使用了它,非常成功。我们讨论了这种成像技术的利弊。©(2012)照片光学仪表工程师(SPIE)的版权协会。仅供个人使用的摘要下载。

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