论文标题

Murrili陨石从Kati Thanda恢复

Murrili meteorite's fall and recovery from Kati Thanda

论文作者

Sansom, E. K., Bland, P. A., Towner, M. C., Devillepoix, H. A. R. D., Cupak, M., Howie, R. M., Jansen-Sturgeon, T., Cox, M. A., Hartig, B. A. D., Paxman, J. P., Benedix, G., Forman, L. V.

论文摘要

2015年11月27日,在10:43:45.526 UTC上,十个沙漠火球网络观测站在南澳大利亚观察到了一场火球,持续了6.1 s。 A $ \ sim37 $ kg流星以13.68 $ \ pm0.09 \,\ mbox {km s}^{ - 1} $进入气氛,并观察到从85 km的高度下降到18 km,降至3.28 $ \ pm0.21.21 \ mbox} $ \ mbox} - 尽管相对陡峭的68.5 $^\ Circ $轨迹,但强烈的大气风显着影响了黑暗战斗阶段和预测的秋季线,但是分析使秋季地点位于Kati Thanda -Eyre South湖中心。卡蒂·丹达(Kati Thanda)在其盐固定的表面下有深泥浆。陨石从低空飞机降落的区域的侦察显示在泥泞的湖泊中有60厘米的圆形特征,距离预测的秋季线不到50 m。经过短暂的搜索(再次使用轻型飞机)后,2015年12月31日从42厘米的深度回收了陨石。穆里利(Murrili)是数字沙漠火球网络(DFN)首次发现的跌倒。除了它的科学价值,通过轨道数据将组成与太阳系环境联系起来,恢复还证明并验证了DFN的功能,其下一代远程观测值和自动数据减少管道。

On the 27th of November 2015, at 10:43:45.526 UTC, a fireball was observed across South Australia by ten Desert Fireball Network observatories lasting 6.1 s. A $\sim37$ kg meteoroid entered the atmosphere with a speed of 13.68$\pm0.09\,\mbox{km s}^{-1}$ and was observed ablating from a height of 85 km down to 18 km, having slowed to 3.28$\pm0.21 \,\mbox{km s}^{-1}$. Despite the relatively steep 68.5$^\circ$ trajectory, strong atmospheric winds significantly influenced the darkfight phase and the predicted fall line, but the analysis put the fall site in the centre of Kati Thanda - Lake Eyre South. Kati Thanda has metres-deep mud under its salt-encrusted surface. Reconnaissance of the area where the meteorite landed from a low flying aircraft revealed a 60 cm circular feature in the muddy lake, less than 50 m from the predicted fall line. After a short search, which again employed light aircraft, the meteorite was recovered on the 31st December 2015 from a depth of 42 cm. Murrili is the first recovered observed fall by the digital Desert Fireball Network (DFN). In addition to its scientific value, connecting composition to solar system context via orbital data, the recover demonstrates and validates the capabilities of the DFN, with its next generation remote observatories and automated data reduction pipeline.

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