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Depth of Martian Magnetization From Localized Power Spectrum Analysis

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Zenodo2021-04-14 更新2026-05-25 收录
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Supplementary data to the article Gong, S. and Wieczorek, M. (2021) Depth of Martian Magnetization From<br> Localized Power Spectrum Analysis, J. Geophys. Res. Planets This archive contains the final inversion results for the employed magnetized<br> caps model using a magnetic field that expanded to degree and order 134. For<br> each localized analysis, the bandwidth and angular radius of the window were<br> 17 and 20 degrees, respectively, which yields 8 localization windows that<br> concentrated more than 70% of the power with the region of interest. The<br> analyses were performed at 150 km altitude and on an equally spaced grid with a<br> spacing corresponding to 10 degrees of latitude. FILE DESCRIPTIONS 20_17_8_134_150.dat This file contains the best fitting values and the corresponding reduced<br> chi^2 value of the inversion. The first two columns correspond to the<br> latitude and longitude, and the third to sixth columns correspond to the<br> best fitting values of the angular radii (in km) of the magnetized caps,<br> the magnetization depth (in km), the square root of the metric N&lt;M^2&gt;V^2<br> (in A m^2), and the reduced chi^2 value of the best fitting model at each<br> location, respectively. 20_17_8_134_150_lower.dat<br> 20_17_8_134_150_upper.dat These two files contain the 1-sigma lower and upper limits of the<br> parameters. For each file, the first two columns correspond to the latitude<br> and longitude, and the third to fifth columns correspond to the 1-sigma<br> lower or upper limits of the angular radii (in km) of the magnetized caps,<br> the magnetization depth (in km), the square root of the metric N&lt;M^2&gt;V^2<br> (in A m^2), respectively. The last column corresponds to the 1-sigma<br> confidence level of the reduced chi^2 that were obtained from Monte Carlo<br> simulations. The 1-sigma lower and upper limits were set to -1e+100 when the<br> minimum reduced chi^2 value of the best fitting model was above this 1-sigma<br> confidence level.

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Zenodo
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2021-04-14
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