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Potential theory in gravity and magnetic applications

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TLDR
In this article, the potential of the geomagnetic field has been studied in vector calculus, and the results of the potential have been shown to be equivalent to the conversion of units.
Abstract
Introduction 1. The potential 2. Consequences of the potential 3. Newtonian potential 4. Magnetic potential 5. Magnetization 6. Spherical harmonic analysis 7. Regional gravity fields 8. The geomagnetic field 9. Forward method 10. Inverse method 11. Fourier-domain modeling 12. Transformations A. Review of vector calculus B. Subroutines C. Review of sampling theory D. Conversion of units.

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Journal ArticleDOI

New Perspectives on Mars' Crustal Magnetic Field

TL;DR: In this article, the authors proposed a scenario in which Mars experienced a major polar wander due to the Tharsis bulge, prior to the cessation of its dynamo, and discussed the magnetic anomaly associated with Apollinaris Patera.
Journal ArticleDOI

3D magnetic sparse inversion using an interior-point method

TL;DR: In this paper, the authors developed two apps for magnetic data inversion detection on outcrop and borehole rocks, which can provide valuable information for constraining magnetic data-inversion.
Journal ArticleDOI

Self-constrained inversion of potential fields through a 3D depth weighting

Andrea Vitale, +1 more
- 01 Nov 2020 - 
TL;DR: In this paper, a depth-weighting function specifically designed for fields related to complex source distributions was developed for inversion of potential fields using a depth weighting function designed specifically for fields with complex source distribution.
Journal ArticleDOI

Downward Continuation of Potential Field Data Based on Chebyshev-Pade Approximation Function

TL;DR: In this article, a new strategy based on the Chebyshev-Pade approximation in the frequency domain was proposed to improve the stability and accuracy of the downward continuation, and the results showed that the method was applied on a field gravity data and showed its superiority.

Source depth characterization of potential field data of Bay of Bengal by continuous wavelet transform

TL;DR: In this article, the continuous wavelet transform is used to locate and characterize the source of the potential field by transferring the data into an auxiliary space, which can be used as a initial model in any inversion algorithm.
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