行星际观测量的递归网络分析
Recurrence Network Analysis of Exoplanetary Observables
摘要：
近年来，复杂网络表示方法在多个学科中的发展推动了利用递归网络研究系外行星动力学。我们能够恢复不同的动力学制度，通过各种网络的措施，从一个模型行星系的合成时间序列。复杂网络的框架也适用于最近的国家的最先进的调查获得的真正的天文观测。分析的结果与早期的研究一致，为研究行星动力学开辟了新的方向。
英文摘要：
Recent advancements of complex network representation among several disciplines motivated the investigation of exoplanetary dynamics by means of recurrence networks. We are able to recover different dynamical regimes by means of various network measures obtained from synthetic time series of a model planetary system. The framework of complex networks is also applied to real astronomical observations acquired by recent state-of-the-art surveys. The outcome of the analysis is consistent with earlier studies opening new directions to investigate planetary dynamics.
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。
