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Open image in new window Fig. 12 Short-wave length component of RTP magnetic data using matching filtering Open image in new window Fig. 13 Medium-wave length component of RTP magnetic data using matching filtering Open image in new window Fig. 14 Long-wave length component of RTP magnetic data using matching filtering.
2.5 D magnetic modeled profiles of the subsurface are generated from the magnetic data using the WINGLINK modeling software indicating variation in magnetic susceptibility of the rock units in the area.
Conversely, the Earth Magnetic Anomaly Map EMAG-2 (Maus et al. 2009) interpolates between sparse marine magnetic data using directional gridding and extrapolation based on the age map of the seafloor (Müller et al. 2008), but the result displays artificially elongated features due to the improper interpolation of anomalies unrelated to seafloor spreading (associated, for instance, to seamounts).
Amusingly, for (Gd-29) a fitting of magnetic data using the Hamiltonian in Eq. (9) revealed that the CuII GdIII was actually antiferromagnetic, though competing CuII CuII interactions and ferromagnetic GdIII GdIII coupling were also observed, so the explanation is not straightforward.
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Magnetic data used here are the Swarm Level 1b MAGA_LR freely accessible at https://earth.esa.int/web/guest/swarm/data-access.
This age map is derived from a self-consistent plate tectonic evolution model and, indirectly, from isochrons picked on the same marine magnetic data used in WDMAM.
Details of the magnetic data used to construct CHAOS-5 (including their selection and processing) have been documented, with a focus on data from ESA's Swarm satellite constellation.
The success of this approach for estimating external source contamination in the magnetic data used for internal field calculations results from the fact that K indices derive from ground-based magnetic variations, thus providing reliable upper bounds to the mid-latitude, external transient fields at satellite altitude, as demonstrated by Mareschal and Menvielle (1986).
Then, the reduction to the north magnetic pole (RTP) map was derived from the total magnetic intensity data, using inclination and declination values of 44.3° and 2.45°, respectively (Rabie, 2011).
The energy spectrum is determined in the streamwise wavenumber frequency domain in the spacecraft frame (Eulerian frame) from the four-point magnetic field data using the wave telescope (multi-point signal resonator extension or MSR extension), which is a combination of the minimum variance projection with the eigenvalue-based projection (Narita et al. 2011).
We developed a novel computer-aided diagnosis (CAD) system that uses feature-ranking and a genetic algorithm to analyze structural magnetic resonance imaging data; using this system, we can predict conversion of mild cognitive impairment (MCI -to-Alzheimer's disease (AD) at between one and three years before clinical diagnosis.
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