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September 10, 2025Applied SciencesOpen Access

A Scalable and Consistent Method for Multi-Component Gravity-Gradient Data Processing

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Our method processes large gravity-gradient datasets rapidly, achieving efficiency improvements by orders of magnitude.
Utilizing a block-Toeplitz Toeplitz-block structure, we reduce the computational challenges associated with sensitivity matrices.
Application of this method on extensive datasets shows its capability to handle over 1 million data points in mere seconds.
The method remains effective even for irregularly spaced data or misaligned flight lines, broadening its applicability.

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This method demonstrates improved computational efficiency for gravity-gradient data processing using block-Toeplitz structures.

Piauilino et al. (2025) studied this question.

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