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.

中文翻译：

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在 TESS 的第一年用奇怪的探测器检测到 1300 多个新的周期信号

我们应用 ${\tt奇怪检测器}$，一种基于相位色散最小化的非参数信号检测算法，在凌日系外行星勘测卫星 (${\it TESS}$) 光度测量中搜索低占空比周期信号。与专门用于标记凌日、食双星或其他类似周期性事件的常用基于模型的方法相比，我们的方法对周期性信号的形状做出了最少的假设，目的是找到意外或任意的“奇怪”信号形状。来自第一年南方天空调查的 248,301 个 ${\it TESS}$ 源通过 ${\tt Welddetector}$ 运行，我们手动检查其中前 21,500 个的周期性。为了尽量减少误报，我们在这里只报告信号分数的上十分位数，一个样本，我们获得了 ${\it TESS}$ 遮蔽二进制文件的 97% 召回率和 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信号，我们对其进行了首次分配，其中 26 个是超短周期（$<0.3$ d），313 个可能是食双星，28 个看起来像行星，10 个是各种信号。