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One-dimensional image reconstruction by exponential filtering in infrared stellar speckle interferometry: application to IRC +10216

机译:红外恒星散斑干涉法中通过指数滤波的一维图像重建:在IRC +10216中的应用

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摘要

Exponential filtering, together with an improved version of the iterative Fourier-transform algorithm, is applied to\udimage reconstruction from one-dimensional infrared stellar speckle interferometry data. The performance of the method is checked first by computer simulations with both noiseless and noisy data and then with a realistic simulation of one-dimensional infrared stellar speckle interferometry. We have seen no problems with convergence.\udThe only problem that we found was an expected noisy appearance of the results when noisy data were simulated. Finally, the method was applied to observational specklegrams of the infrared source IRC +10216, in two standard photometric bands: K and M (2.2 and 5 m, respectively). The reconstruction in K of a north-south\udscan clearly shows three components inside a circumstellar shell. On the other hand, in the M band only a wing on the north side of the main component is resolvable.
机译:指数滤波和迭代傅里叶变换算法的改进版本一起用于从一维红外恒星散斑干涉数据中重建\图像。该方法的性能首先通过对无噪声和有噪声数据的计算机仿真进行检查,然后对一维红外恒星散斑干涉测量法进行实际仿真。我们发现收敛没有任何问题。\ ud我们发现的唯一问题是模拟噪声数据时结果的预期噪声外观。最后,将该方法应用于两个标准光度波段:K和M(分别为2.2和5 m)中红外源IRC +10216的观测斑点图。南北\ udscan在K中的重建清楚地显示了一个星际壳内的三个分量。另一方面,在M波段,只有主要部分北侧的机翼是可分辨的。

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