论文标题
直接系外行星检测的似然比图
Likelihood ratio map for direct exoplanet detection
论文作者
论文摘要
由于其宿主恒星的角度较小，并且存在准静态噪声，因此系外行星的直接成像是一项具有挑战性的任务。我们提出了一种基于似然比检测图直接成像直接成像的新统计方法，该方法假设背景减法步骤后的噪声遵守拉普拉斯分布。在通过广泛使用的环形主成分分析（ANNPCA）执行背景减法后，我们将该方法与两种检测方法（SNR）图进行了比较。 Beta Pictoris数据集的实验结果表明，该方法以零假正率（FPR）达到最高的真实正率（TPR）方面优于SNR图。
Direct imaging of exoplanets is a challenging task due to the small angular distance and high contrast relative to their host star, and the presence of quasi-static noise. We propose a new statistical method for direct imaging of exoplanets based on a likelihood ratio detection map, which assumes that the noise after the background subtraction step obeys a Laplacian distribution. We compare the method with two detection approaches based on signal-to-noise ratio (SNR) map after performing the background subtraction by the widely used Annular Principal Component Analysis (AnnPCA). The experimental results on the Beta Pictoris data set show the method outperforms SNR maps in terms of achieving the highest true positive rate (TPR) at zero false positive rate (FPR).
