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Error determination of lunar interior structure by lunar geodetic data on seismic restriction

机译:基于地震约束的月球大地数据确定月球内部结构的误差

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摘要

In this study, we investigated how well we can determine the lunar interior structure using available geodetic and seismic data based on the linear inverse method. We also evaluated how we can improve our knowledge of the lunar interior structure using geophysical data obtained in future lunar geodetic and seismic explorations. A posteriori errors of the lunar interior parameters determined from geodetic data obtained from the Japanese SELENE mission and seismic data obtained from the Apollo missions indicate that the lunar core size and density cannot be determined with sufficient accuracy to reveal core composition. We quantitatively showed that accuracies of the determination of core parameters will be improved by better determination of the Love number k_2 or h_2. This improvement will be achieved by the analysis of new gravity data obtained by the NASA GRAIL mission or our planned new Very Long Baseline Interferometry experiment on the Japanese SELENE-2 mission. This will enable us to determine the core size with an approximately 10% error and the core density with an approximately 25% error and improve our knowledge of the core. We will also be able to further reduce the errors in core density by applying future seismic network explorations and obtain information on the composition of the lunar core and its inner structure.
机译:在这项研究中,我们研究了如何利用基于线性反演方法的可用大地和地震数据确定月球内部结构的能力。我们还评估了如何使用在未来月球大地测量和地震勘探中获得的地球物理数据来提高对月球内部结构的认识。根据从日本SELENE任务获得的大地测量数据和从Apollo任务获得的地震数据确定的月球内部参数的后验误差表明,无法以足够的精度确定月球岩心的大小和密度以揭示岩心组成。我们定量地表明,通过更好地确定Love数k_2或h_2可以提高确定核心参数的准确性。通过对NASA GRAIL任务获得的新重力数据进行分析,或者我们计划在日本SELENE-2任务上进行的新的甚长基线干涉测量实验,都将实现这一改进。这将使我们能够以大约10%的误差确定铁心尺寸,并以大约25%的误差确定铁心密度,并提高我们对铁心的了解。我们还将能够通过应用未来的地震网络勘探来进一步减少岩心密度的误差,并获得有关月球岩心及其内部结构的信息。

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