SARS算法：使用同步外部参数的Sysrem对CoRoT光变曲线进行去趋势
The SARS algorithm: detrending CoRoT light curves with Sysrem using simultaneous external parameters
摘要：
对系外行星凌日的调查通常不受光子噪声的限制，而是受其数据中红噪声的数量的限制。特别是，虽然正在仔细审查CoRoT天基调查数据，但仍在发现新的系统性噪音来源。最近，Mazeh和Guterman等人在CoRoT数据中发现了一种依赖于星等的系统效应，并提出了唯象校正。在这里，我们将观察到的效应与特定类型的效应联系起来，并在此过程中推广流行的Sysrem算法，以在具有未知效应的同时解决方案中包括外部参数。我们表明，基于该算法的后处理方案表现良好，并确实允许检测到以前没有检测到的新的过境信号。
英文摘要：
Surveys for exoplanetary transits are usually limited not by photon noise but rather by the amount of red noise in their data. In particular, although the CoRoT spacebased survey data are being carefully scrutinized, significant new sources of systematic noises are still being discovered. Recently, a magnitude-dependant systematic effect was discovered in the CoRoT data by Mazeh & Guterman et al. and a phenomenological correction was proposed. Here we tie the observed effect a particular type of effect, and in the process generalize the popular Sysrem algorithm to include external parameters in a simultaneous solution with the unknown effects. We show that a post-processing scheme based on this algorithm performs well and indeed allows for the detection of new transit-like signals that were not previously detected.
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