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Imaging with LINC-NIRVANA

机译:使用LINC-NIRVANA成像

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摘要

The basic problem of LINC-NIRVANA (LN) imaging is to combine the different images for getting a single image, possibly with a resolution close to that of a 22.8 m mirror in all directions. This result can be hardly reached in practice because it depends on the level and uniformity of the adaptive optics (AO) correction and on the declination of the scientific target, controlling the orientations of the baseline that can be used during its observation. In this article, we give a brief introduction to this problem. It can be solved by iterative methods related to the well-known Richardson-Lucy (RL) algorithm. Since RL is a particular case of the maximum likelihood method introduced by Shepp and Vardi in emission tomography and denoted expectation maximization (EM), improvements of EM, proposed in the field of medical imaging can be applied to LN.
机译:LINC-NIRVANA(LN)成像的基本问题是组合不同的图像以获得单个图像,可能在所有方向上的分辨率都接近22.8 m反射镜。在实践中很难获得此结果,因为它取决于自适应光学(AO)校正的水平和均匀性以及科学目标的偏角,从而控制可在观察过程中使用的基线方向。在本文中,我们对这个问题进行了简要介绍。可以通过与著名的Richardson-Lucy(RL)算法相关的迭代方法来解决。由于RL是Shepp和Vardi在发射断层扫描中引入的最大似然方法的特殊情况,并表示期望最大化(EM),因此在医学成像领域提出的EM改进可以应用于LN。

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