论文标题
与非高斯噪声进行匹配的过滤，用于行星过境检测
Matched filtering with non-Gaussian noise for planet transit detections
论文作者
论文摘要
我们开发了一种基于匹配的滤波器技术，与噪声异常值的高斯化相结合，该方法基于匹配的滤波器技术。该方法基于傅立叶变换，并且与行星搜索的现有方法一样快。高质匹配的过滤器（GMF）方法在假阳性率方面显着优于标准基线方法，从而使行星检测能够以低至30％的过境幅度幅度检测。此外，该方法提取所有主要行星传输参数，幅度，周期，相位和持续时间。通过在模拟和真实数据上使用ART高斯过程方法的状态进行比较，我们表明所有过境参数均以最佳精度（无偏差和最小方差）确定，这意味着可以将GMF方法用于初始行星检测和随访行星参数分析。
We develop a method for planet detection in transit data, which is based on the Matched Filter technique, combined with the Gaussianization of the noise outliers. The method is based on Fourier transforms and is as fast as the existing methods for planet searches. The Gaussinized Matched Filter (GMF) method significantly outperforms the standard baseline methods in terms of the false positive rate, enabling planet detections at up to 30 % lower transit amplitudes. Moreover, the method extracts all the main planet transit parameters, amplitude, period, phase, and duration. By comparison to the state of the art Gaussian Process methods on both simulations and real data we show that all the transit parameters are determined with an optimal accuracy (no bias and minimum variance), meaning that the GMF method can be used both for the initial planet detection and the follow-up planet parameter analysis.
