Analysis of multisource gravity and magnetic anomaly data sets by moving‐window application of Poisson’s theorem

Abstract

Use of Poisson’s theorem to calculate single‐source magnetization‐to‐density ratios may be extended to multisource data by repeatedly applying the theorem within a small, moving data window. In this approach, the moving window traverses the data set in increments of the data interval, and a linear regression is conducted between the first vertical derivative of gravity and the magnetic values reduced to the pole within each window position. Three parameters—correlation coefficient, slope, and intercept—are thereby generated at each data interval that describe the internal correlation existing between gravity and magnetic anomalies and may yield information regarding anomaly source properties. The slope parameter provides an estimate of source magnetization‐to‐density ratio for the anomaly segments within each window position.