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arXiv 2601.04552astro-ph.IM
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天文时间序列分析研究:双Lomb-Scargle周期图与超分辨率

Studies in Astronomical Time Series Analysis: The Double Lomb-Scargle Periodogram and Super Resolution

NASA Ames Research Center(NASA 艾姆斯研究中心);Julius-Maximilians-Universität Würzburg(维尔茨堡大学);Stanford University(斯坦福大学);Institut de Física d’Altes Energies (IFAE)(高能物理研究所 (IFAE));The Barcelona Institute of Science and Technology (BIST)(巴塞罗那科学技术研究院 (BIST))

Jeffrey D. Scargle, Sarah Wagner

AI总结:

本文提出了一种双Lomb-Scargle周期图方法,具备超分辨率能力,适用于任意采样时间序列,通过自回归模型在时域中实现超分辨率应用。

摘要:

多频周期图——基于由两个或更多独立正弦波组成的时序模型——长期以来一直被讨论。本文的新贡献是提出了一个实用且易于使用的计算框架来实现这一概念。我们的算法具有超越瑞利准则的超分辨率能力,并提供了统计加权和 tapering 的功能。它们可以用于几乎任何时间序列(例如时间标记事件或点测量)的任意采样——无论是均匀还是非均匀采样。合成数据、太阳黑子数以及白矮星J0135+5722的丰富脉动的超分辨率示例展示了实际应用。附录使用任意数量的任意基函数(遵循Bretthorst, 1988)推导了广义周期图,并定义了几种非正弦基函数的示例。通过自回归模型展示了超越频率域的应用,该模型在时域中表现出超分辨率。一个包含omnigram代码和生成其的符号代数脚本的GitHub仓库即将发布。

英文摘要:

Multiple-frequency periodograms -- based on time series models consisting of two or more independent sinusoids -- have long been discussed. What is new here is the presentation of a practical, simple-to-use computational framework implementing this concept. Our algorithms have super resolution that evades the Rayleigh criterion, as well as provision for statistical weighting and tapering. They can be used for essentially any time series (e.g. time-tagged events or point measurements) with arbitrary sampling -- even or uneven. Examples of super resolution of synthetic data, sunspot numbers, and the rich pulsations of white dwarf J0135+5722, demonstrate practical applications. Appendices derive generalized periodograms using an arbitrary number of arbitrary basis functions (following Bretthorst, 1988)and define several examples of non-sinusoidal bases for these ``omnigrams.'' Application beyond the frequency domain is demonstrated with an autoregressive model exhibiting super resolution in the time domain. A GitHub repository containing omnigram code, and symbolic algebra scripts for generating it, will soon be available.

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。

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