USuRPER：全光谱的单位球表示周期图
USuRPER: Unit-Sphere Representation PERiodogram for full spectra
摘要：
我们介绍了一个扩展的周期图概念的时间分辨光谱。USuRPER（Unit Sphere Representation Periodogram）是一种新技术，它为天文光谱分析开辟了新的领域。它可以用来检测频谱形状的广泛的周期性变化。本质上，该技术是基于将光谱表示为多维超空间中的单位向量，因此得名。这是我们在以前的论文中介绍的相位距离相关（PDC）周期图的扩展，非常高维的数据，如光谱。USuRPER考虑了光谱的整体形状，无需将其简化为单个量，如径向速度或温度。通过模拟，我们证明了它的性能在各种类型的光谱变化-单线和双线光谱双星和脉动星。我们还展示了它的性能上的实际数据的快速振荡Ap（roAp）星。USuRPER是一种新的工具，用于探索大型时间分辨光谱数据库，例如APOGEE，LAMOST和盖亚的RVS光谱。我们已经向社区提供了一个公共的GitHub存储库，其中包含USuRPER的Python实现，可以对其进行实验并将其应用于广泛的光谱时间序列。
英文摘要：
We introduce an extension of the periodogram concept to time-resolved spectroscopy. USuRPER -- Unit Sphere Representation PERiodogram -- is a novel technique which opens new horizons in the analysis of astronomical spectra. It can be used to detect a wide range of periodic variability of the spectrum shape. Essentially, the technique is based on representing spectra as unit vectors in a multidimensional hyperspace, hence its name. It is an extension of the phase-distance correlation (PDC) periodogram we had introduced in previous papers, to very high-dimensional data like spectra. USuRPER takes into account the overall shape of the spectrum, sparing the need to reduce it into a single quantity like radial velocity or temperature. Through simulations we demonstrate its performance in various types of spectroscopic variability -- single-lined and double-lined spectroscopic binary stars and pulsating stars. We also show its performance on actual data of a rapidly oscillating Ap (roAp) star. USuRPER is a new tool to explore large time-resolved spectroscopic databases, e.g. APOGEE, LAMOST and the RVS spectra of Gaia. We have made available to the community a public GitHub repository with a Python implementation of USuRPER, to experiment with it and apply it to a wide range of spectroscopic time series.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
