Statistics – Computation
Scientific paper
Dec 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010agufm.u51b0042y&link_type=abstract
American Geophysical Union, Fall Meeting 2010, abstract #U51B-0042
Statistics
Computation
[0902] Exploration Geophysics / Computational Methods: Seismic, [7294] Seismology / Seismic Instruments And Networks
Scientific paper
During the next decade, some lunar seismic experiments are planned under the international lunar network initiative, such as NASA ILN Anchor nodes mission or Lunette DISCOVERY proposal, JAXA SELENE-2 and LUNA-GLOB penetrator missions, during which 1 to 4 seismic stations will be deployed on the lunar surface. Yamada et al. (submitted) have described how to design the optimized network in order to obtain the best scientific gain from these future lunar landing missions. In this presentation, we will describe the expected gain from the new lunar seismic observations potentially obtained by the optimized network compared with past Apollo seismic experiments. From the Apollo seismic experiments, valuable information about the lunar interior structure was obtained using deep and shallow moonquakes, and meteoroid impacts (e.g., Nakamura et al., 1983, Lognonné et al., 2003). However, due to the limited sensitivity of Apollo lunar seismometers and the narrowness of the seismic network, the deep lunar structure, especially the core, was not properly retrieved. In addition, large uncertainties are associated with the inferred crustal thickness around the Apollo seismic stations. Improvements of these knowledge will help us to understand the origin of the Earth-Moon system and the initial differentiation of the Moon. Therefore, we have studied the optimization of a seismic network consisting of three or four new seismometers in order to place better constraints on the lunar mantle structure and /or crustal thickness. The network is designed to minimize the a posteriori errors and maximize the resolution of the velocity perturbations inside the mantle and /or the crust through a linear inverse method. For the inversion, the deep moonquakes from active sources already located by Apollo seismic data are used, because it is known that these events occur repeatedly at identical nests depending on tidal constraints. In addition, we use randomly distributed meteoroid impacts located either by the new seismic network or by detection of the impact flashes from Earth-based observation. The use of these impact events will greatly contribute to improve the knowledge of shallow structures, in particular the crust. Finally, a comparison between the a posteriori errors deduced from our optimized network with those of the Apollo network will indicate the potential of the optimized network and the expected scientific gain. This method will be a useful tool to consider for future geophysical network landing missions.
Calvet Marie
Gagnepain-Beyneix Jeannine
Garcia Raphaël F.
Le Feuvre Mathieu
Lognonné Philippe
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