Codes for Education

Computational resources for treating magnetometric and gravimetric in Geophysical lectures

Szameitat, L.S.A., Bongiolo, A.B.S. (2024) Recursos computacionais para tratamento de dados magnetométricos e gravimétricos em sala de aula. Boletim Paranaense de Geociências, v. 82, n. 1.

Abstract: The team at the Laboratory for Applied Geophysics Research (LPGA-UFPR) has been dedicated to developing research work in teaching and promoting geophysics, raising awareness and understanding of geophysical methods within the university and for the external public. In line with this effort, the authors have prepared a collection of Python scripts for processing gravimetric and magnetometric data using basic techniques: horizontal and vertical derivatives, horizontal gradient, reduction to the pole, analytical signal amplitude, and Bouguer anomaly estimation. To facilitate classroom use, the algorithms have been formatted as Jupyter Notebooks and designed for use in the Google Colaboratory programming environment. The geophysical data transformations were adapted from classic functions in the literature and also employed existing libraries in the same language. The function algorithms are included in this material, and the complete Python notebook programs are available and being updated in a public GitHub repository. As a result, this work provides an accessible tool for geoscience students in the analysis of potential field data.

References:

Blakely, R. J. (1996). Potential theory in gravity and magnetic applications. Cambridge University Press.

Uieda, L., Oliveira Jr, V. C., & Barbosa, V. C. (2013). Modeling the earth with Fatiando a Terra. In Proceedings of the 12th Python in Science Conference (pp. 96-103).[link]