论文标题
$ {\ tt weirddetector} $在$ \ it {tess} $的第一年中检测到数百个新的周期信号
Hundreds of new periodic signals detected in the first year of $\it{TESS}$ with the ${\tt weirddetector}$
论文作者
论文摘要
我们将$ {\ tt quirddetector} $（一种基于相位分散最小化的非参数信号检测算法），在搜索过渡性外部外部调查卫星（$ {\ its tess}）$中的低占空比周期性信号中。我们的方法与专门用于标记过渡，黯然失色的二进制文件或其他类似周期性事件的常用基于模型的方法相比，对周期性信号的形状进行了最小的假设，目的是找到意外或任意形状的“怪异”信号。总共248,301 $ {\ it tess} $来自南方天空调查的来源通过$ {\ tt wirddetector} $进行，我们手动将其手动检查前21,500个周期性。为了最大程度地减少假阳性，我们在这里仅根据信号评分报告上限，这是一个样本，我们获得了97％的召回$ {\ it Tess} $ Eclips file binaries和62％的TOI。在我们的样本中，我们发现了377个以前未报告的周期性信号，为此，我们进行了首次任务，即26个超短暂时期（$ <0.3 $ d），313个可能是黯然失色的二进制文件，28个出现类似星球，而10个是杂项信号。
We apply the ${\tt weirddetector}$, a nonparametric signal detection algorithm based on phase dispersion minimization, in a search for low duty-cycle periodic signals in the Transiting Exoplanet Survey Satellite (${\it TESS}$) photometry. Our approach, in contrast to commonly used model-based approaches specifically for flagging transits, eclipsing binaries, or other similarly periodic events, makes minimal assumptions about the shape of a periodic signal, with the goal of finding "weird" signals of unexpected or arbitrary shape. In total, 248,301 ${\it TESS}$ sources from the first-year Southern sky survey are run through the ${\tt weirddetector}$, of which we manually inspect the top 21,500 for periodicity. To minimize false-positives, we here only report on the upper decile in terms of signal score, a sample for which we obtain 97% recall of ${\it TESS}$ eclipsing binaries and 62% of the TOIs. In our sample, we find 377 previously unreported periodic signals, for which we make a first-pass assignment that 26 are ultra-short periods ($<0.3$ d), 313 are likely eclipsing binaries, 28 appear planet-like, and 10 are miscellaneous signals.
