论文标题
蒙特卡罗成像用于光学干涉仪
Monte-Carlo Imaging for Optical Interferometry
论文作者
论文摘要
我们提出了一个灵活的代码，用于从双光谱和可见性方面进行成像。通过使用模拟退火方法，我们限制了将传统成像方法用于具有有限相位信息的数据集时，可能会收敛到局部卡方的最小值。我们介绍了使用许多正则化方案（包括最大熵）的模拟数据集上使用的代码结果。使用来自蒙特卡洛马尔可夫链的统计属性，我们展示了该代码如何对图像功能（如看不见的二进制伴侣）施加统计限制。
We present a flexible code created for imaging from the bispectrum and visibility-squared. By using a simulated annealing method, we limit the probability of converging to local chi-squared minima as can occur when traditional imaging methods are used on data sets with limited phase information. We present the results of our code used on a simulated data set utilizing a number of regularization schemes including maximum entropy. Using the statistical properties from Monte-Carlo Markov chains of images, we show how this code can place statistical limits on image features such as unseen binary companions.
