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A Dynamic Trajectory Fit to Multisensor Fireball Observations
The Astronomical Journal ( IF 5.3 ) Pub Date : 2020-09-30 , DOI: 10.3847/1538-3881/abb090
Trent Jansen-Sturgeon , Eleanor K. Sansom , Hadrien A. R. Devillepoix , Philip A. Bland , Martin C. Towner , Robert M. Howie , Benjamin A. D. Hartig

Meteorites with known orbital origins are key to our understanding of Solar System formation and the source of life on Earth. However, these pristine samples of space material are incredibly rare. Less than 40 of the 60,000 meteorites held in collections around the world have known dynamical origins. Fireball networks have been developed globally in a unified effort to increase this number by using multiple observatories to record, triangulate, and dynamically analyse ablating meteoroids as they enter our atmosphere. The accuracy of the chosen meteoroid triangulation method directly influences the accuracy of the determined orbit and the likelihood of possible meteorite recovery. There are three leading techniques for meteoroid triangulation discussed in the literature: the Method of Planes, the Straight Line Least Squares method, and the Multi-Parameter Fit method. Here we describe an alternative method to meteoroid triangulation, called the Dynamic Trajectory Fit. This approach uses the meteoroid's 3D dynamic equations of motion to fit a realistic trajectory directly to multi-sensor line-of-sight observations. This method has the ability to resolve fragmentation events, fit systematic observatory timing offsets, and determine mass estimates of the meteoroid along its observable trajectory. Through a comprehensive Monte-Carlo analysis of over 100,000 trajectory simulations, we find this new method to more accurately estimate meteoroid trajectories of slow entry events ($<$25\,km/s) and events observed from low convergence angles ($<$10$^{\circ}$) compared to existing meteoroid triangulation techniques. Additionally, we triangulate an observed fireball event with visible fragmentation using the various triangulation methods to show that the proposed Dynamic Trajectory Fit implementing fragmentation to best match the captured multi-sensor line-of-sight data.

中文翻译:

适合多传感器火球观测的动态轨迹

已知轨道起源的陨石是我们了解太阳系形成和地球生命来源的关键。然而,这些原始的太空材料样本非常罕见。在全世界收藏的 60,000 颗陨石中,只有不到 40 颗已知动力来源。火球网络已经在全球范围内发展起来,通过使用多个天文台来记录、三角测量和动态分析进入我们大气层的消融流星体,以增加这一数字。选择的流星体三角测量方法的准确性直接影响确定轨道的准确性和可能的​​陨石回收的可能性。文献中讨论了三种主要的流星体三角测量技术:平面法、直线最小二乘法、和多参数拟合方法。在这里,我们描述了一种替代流星​​体三角测量的方法,称为动态轨迹拟合。这种方法使用流星体的 3D 动态运动方程将真实轨迹直接拟合到多传感器视线观测中。该方法能够解析碎裂事件,拟合系统的天文台时间偏移,并确定流星体沿其可观测轨迹的质量估计。通过对超过 100,000 个轨迹模拟的综合蒙特卡罗分析,我们发现这种新方法可以更准确地估计慢进入事件 ($<$25\,km/s) 和从低收敛角 ($<$10$) 观察到的事件的流星体轨迹^{\circ}$) 与现有的流星体三角测量技术相比。此外,
更新日期:2020-09-30
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