Detection of Faint Companions through Stochastic Speckle Discrimination
Detection of Faint Companions through Stochastic Speckle Discrimination
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通过随机散斑辨别检测微弱同伴
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
J. Christou
中科院分区：
文献类型：
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作者：
S. Gladysz;J. Christou
我们提出了一种新的后处理技术，用于从自适应光学校正的短曝光序列中检测微弱的同伴。该算法利用了轴上和离轴辐照度分布之间的形状差异，并且不需要信号高于噪声水平。我们表明，该方法是特别有用的，在处理静态散斑。它的应用程序，以真实的和模拟数据给出了良好的结果，在低信号制度，它优于标准的方法计算信号噪声比一个长时间曝光。我们还表明，由于静态散斑的存在，在自适应光学图像的密切同伴的准确的噪声估计是不可能的。这种新的方法提供了一种可靠的估计检测假设的置信区间的手段。
We propose a new postprocessing technique for the detection of faint companions from a sequence of adaptive optics corrected short exposures. The algorithm exploits the difference in shape between the on-axis and off-axis irradiance distributions and it does not require the signal to be above the noise level. We show that the method is particularly useful in dealing with static speckles. Its application to real and simulated data gives excellent results in the low-signal regime where it outperforms the standard approach of computing signal-to-noise ratio on one long exposure. We also show that accurate noise estimation in adaptive optics images of close companions is rendered impossible due to the presence of static speckles. This new method provides a means of reliable estimation of the confidence intervals for the detection hypothesis.