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Magnetic Signatures of Lunar Impact Craters

Authors: Yang, Xi; Wieczorek, Mark A.;

Magnetic Signatures of Lunar Impact Craters

Abstract

This website contains the supplemental materials of the manuscript Magnetic Signatures of Lunar Impact Craters by Xi Yang and Mark Wieczorek that is submitted to Journal of Geophysical Research: Planets. Impact crater classification database provides the classifications of the magnetic signatures of lunar craters by the two analysts, using the lunar magnetic field models of Tsunakawa et al. (2015) and Ravat et al. (2020). The classifications using the synthetic models are also contained in this file. Profiles (Figure 7) provides the data of azimuthally averaged magnetic field profiles used to generate Figure 7. Impact crater summary images (CC3D+PR3D+MR2D) provides the images that were used to classify the magnetic signatures of lunar craters. The magnetic signatures and topographies of complex craters and peak-ring craters are plotted by a range of three times the crater diameter, whereas the plotting range for the multi-ring craters is two times the diameter. Impact crater summary images (MR1D) provides the supplemental images that were used to classify the magnetic signatures of multi-ring craters which focus on the signatures within the main rim. (In this version, we add the crater number in the 'Impact crater classification database' and 'Profiles' files which correspond to the index of craters in the 'Impact crater summary images' files, and a few typo mistakes are fixed. )

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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