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arXiv 2203.11084astro-ph.EPastro-ph.IM
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17 P/Holmes彗星尘埃轨迹的演化

Evolution of the Dust Trail of Comet 17P/Holmes

Maria Gritsevich, Markku Nissinen, Arto Oksanen, Jari Suomela, Elizabeth A. Silber

摘要:

2007年10月17 P/霍姆斯彗星的大规模爆发是迄今为止已知的最大的彗星爆发。我们提出了一个新的全面的模型,描述在这种现象中产生的尘埃轨迹的演变。该模型包括多粒子蒙特卡罗方法,包括太阳辐射压力的影响,金星,地球和月球,火星,木星和土星引起的引力扰动,以及尘埃粒子与母彗星本身的引力相互作用。在Orekit中实现了该方法,获得了较高的计算精度,该方法采用Dormad-Prince数值积分方法。我们通过模拟粒子群的大小从0.001毫米到1毫米与相应的球对称喷射速度分布,并对太阳爆发建模来展示模型的性能。该模型的补充和验证对观测的尘埃轨迹在共同的节点为0.5和1转。在所有情况下,预测的轨迹位置显示出与观测结果的良好匹配。此外,在这项工作中首次观察到了沙漏状的痕迹。通过在我们的模拟中使用爆发模型的变化,我们确定,假设的球对称的喷射粒子导致的情况下,与观察到的沙漏图案兼容。利用这些数据,我们预测了在2022年应该可以通过使用地面望远镜探测到的爆发点附近的两次旋转尘埃轨迹行为。

英文摘要:

The massive outburst of the comet 17P/Holmes in October 2007 is the largest known outburst by a comet thus far. We present a new comprehensive model describing the evolution of the dust trail produced in this phenomenon. The model comprises of multiparticle Monte Carlo approach including the solar radiation pressure effects, gravitational disturbance caused by Venus, Earth and Moon, Mars, Jupiter and Saturn, and gravitational interaction of the dust particles with the parent comet itself. Good accuracy of computations is achieved by its implementation in Orekit, which executes Dormad-Prince numerical integration methods with higher precision. We demonstrate performance of the model by simulating particle populations with sizes from 0.001 mm to 1 mm with corresponding spherically symmetric ejection speed distribution, and towards the Sun outburst modelling. The model is supplemented with and validated against the observations of the dust trail in common nodes for 0.5 and 1 revolutions. In all cases, the predicted trail position showed a good match to the observations. Additionally, the hourglass pattern of the trail was observed for the first time within this work. By using variations of the outburst model in our simulations, we determine that the assumption of the spherical symmetry of the ejected particles leads to the scenario compatible with the observed hourglass pattern. Using these data, we make predictions for the two-revolution dust trail behavior near the outburst point that should be detectable by using ground-based telescopes in 2022.

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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