Majid Beiki

TL;DR: In this paper, the authors used data points enclosed by a square window centered at maxima of the normalized source strength (NSS) for simultaneously estimating the source location and structural index.

TL;DR: In this article, an approach for the interpretation of magnetic field data that can be used when measured anomalies are affected by significant remanent magnetization components is presented. But this approach is limited to the case where the remanent effects are unknown and are possibly varying within a given data set.

TL;DR: In this paper, an approach for the interpretation of magnetic field data that can be used when measured anomalies are affected by significant remanent magnetization components is presented. But this approach is limited to the case where the remanent effects are unknown and are possibly varying within a given data set.

TL;DR: In this paper, a normalized source strength (NSS) is derived from eigenvalues of magnetic and gravity gradient tensors, which is proportional to a constant shape factor normalized by the n-th power of distance between measurement and source points.

TL;DR: In this paper, the authors use data points enclosed by a square window centered at maxima of the normalized source strength for estimating the source location and structural index simultaneously, and then the solution corresponding to the minimum uncertainty is chosen as the most reliable solution.