流星体流中混沌的表征：应用于金牛座流星群
Characterisation of chaos in meteoroid streams. Application to the Taurids
- Astronomical Institute, Ondřejov Observatory（奥德杰约夫天文台）
- LTE, Observatoire de Paris, PSL Research University, Sorbonne Université, Université de Lille, LNE, CNRS, France（巴黎天文台）
- Department of Earth Sciences, National Taiwan Normal University（台湾师范大学地球科学系）
- Center of Astronomy and Gravitation, National Taiwan Normal University（台湾师范大学天文与引力研究中心）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
该研究通过混沌图和数值模拟，揭示了金牛座流星体流中von Zeipel-Lidov-Kozai机制与木星平均运动共振的相互作用，并确认7:2共振产生可观测星群。
AI中文摘要：
目的：我们探索北金牛座和南金牛座流星体流的动力学，以识别塑造这些流星体流演化的主要机制。方法：我们使用混沌图和数值模拟来探索这些流星体流的动力学。我们还进行了一些半解析分析，以确认我们在图中识别的机制。结果：我们展示了北金牛座流星体流如何由von Zeipel-Lidov-Kozai机制结构化，以及该机制如何与木星的多个平均运动共振相互作用。该机制表现为大多数粒子倾角的增加，而对于那些被困在平均运动共振中的粒子，这种增加不太显著。对于流内初始半长轴较大的粒子，该效应尤为强烈。我们特别研究了与木星的7:2平均运动共振，以确认它会导致可观测的星群。此外，我们探索了非引力作用力的影响，表明它们模糊了平均运动共振的影响，但不影响von Zeipel-Lidov-Kozai机制。我们还表明，南金牛座流星体流的动力学与北金牛座流星体流非常相似。
英文摘要：
Aims. We explore the dynamics of the Northern and Southern Taurid meteoroid streams to identify major mechanisms structuring the evolution of the streams. Methods. We use chaos maps and numerical simulations to explore the dynamics of the streams. We also perform some semi-analytical analysis to confirm the mechanisms we identified in the maps. Results. We show how Northern Taurids are structured by the von Zeipel-Lidov-Kozai mechanism and how it interacts with several mean-motion resonances with Jupiter. This mechanism is visible as an increase in inclination for most particles, which is less prominent for those trapped in mean-motion resonances. It is especially strong for larger initial semi-major axis within the stream. We specifically study the 7:2 mean-motion resonance with Jupiter to confirm it leads to observable swarms. Furthermore, we explore the influence of non-gravitational forces, showing that they blur the influence of mean-motion resonances but not the von Zeipel-Lidov-Kozai mechanism. We also show that the dynamics of the Southern Taurids are very similar to the Northern Taurids.
