References

Fatiando a Terra

Uieda, L, Oliveira Jr, V C, Ferreira, A, Santos, H B; Caparica Jr, J F (2014), Fatiando a Terra: a Python package for modeling and inversion in geophysics. figshare. doi:10.6084/m9.figshare.1115194

Matplotlib

Hunter, J. D. (2007). Matplotlib: A 2D graphics environment. Computing In Science & Engineering, 9(3), 90–95. doi:10.5281/zenodo.15423

SciPy

Oliphant, T. E. (2007). Python for Scientific Computing Python Overview. Computing In Science & Engineering, 10-20.

NumPy

van der Walt, S., Colbert, S. C., and Varoquaux, G. (2011). The NumPy Array: A Structure for Efficient Numerical Computation. Computing in Science & Engineering, 13(2):22-30.

wxPython

Rappin, N. and Dunn, R. (2006). wxPython in Action. Manning Publications.

ObsPy

SEGY viewer from obspy package. obspy.org

Beyreuther, M. R. Barsch, L. Krischer, T. Megies, Y. Behr and J. Wassermann (2010) ObsPy: a python toolbox for seismology Seismological Research Letters, 81(3), 530-533

Gravity Algorithm

Bott, M. H. P. (1969). GRAVN. Durham geophysical computer specification No. 1.

Magnetic Algorithm

Talwani, M., & Heirtzler, J. R. (1964). Computation of magnetic anomalies caused by two dimensional structures of arbitrary shape, in Parks, G. A., Ed., Computers in the mineral industries, Part 1: Stanford Univ. Publ., Geological Sciences, 9, 464-480.

Vertical Gravity Gradient Algorithm

Kim, S. S., & Wessel, P. (2016). New analytic solutions for modeling vertical gravity gradient anomalies. Geochemistry, Geophysics, Geosystems, 17(5), 1915–1924. https://doi.org/10.1002/2016GC006263

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