利用统计显著性检验探测极低S/N下类太阳振荡的新方法
A new method to detect solar-like oscillations at very low S/N using statistical significance testing
摘要：
我们介绍了一种新的方法来检测恒星观测的频率功率谱中的类太阳振荡，在非常低的信号噪声的条件下。移动窗口功率搜索（MWPS）搜索功率谱中多余功率的特征，超过缓慢变化的（频率）恒星颗粒和射击或仪器噪声的背景贡献。我们采用假警报方法（Chaplin et al. 2011）来确定标记的过剩功率（与类太阳振荡预期的过剩功率一致）是否难以单独解释（因此是候选检测）。我们将该方法应用于太阳光度数据，其质量被系统地降级，以测试MWPS在低信噪比下的性能。我们还比较了性能的MWPS对频繁应用的功率谱的功率谱（PSxPS）检测方法。MWPS被发现优于PSxPS方法。
英文摘要：
We introduce a new method to detect solar-like oscillations in frequency power spectra of stellar observations, under conditions of very low signal to noise. The Moving-Windowed-Power-Search, or MWPS, searches the power spectrum for signatures of excess power, over and above slowly varying (in frequency) background contributions from stellar granulation and shot or instrumental noise. We adopt a false-alarm approach (Chaplin et al. 2011) to ascertain whether flagged excess power, which is consistent with the excess expected from solar-like oscillations, is hard to explain by chance alone (and hence a candidate detection). We apply the method to solar photometry data, whose quality was systematically degraded to test the performance of the MWPS at low signal-to-noise ratios. We also compare the performance of the MWPS against the frequently applied power-spectrum-of-power-spectrum (PSxPS) detection method. The MWPS is found to outperform the PSxPS method.
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