PlateCurie | Estimating Curie depth from magnetic anomaly data

PlateCurie is a Jupyter Notebook library. PlateCurie has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Crustal magnetic anomalies carry information on the source distribution of magnetization in the Earth's crust (Blakely, 1995). The Curie point corresponds to the depth at which crustal rocks loose their magnetization where they reach their Curie temperature, and is obtained by fitting the power spectral density (PSD) of magnetic anomaly data with a model where magnetic anomalies are confined within a layer (Bouligand et al., 2009; Audet and Gosselin, 2019; Mather and Fullea, 2019). Mapping the Curie point provides important information on geothermal gradients in the Earth; however, mapping Curie depth is a spatio-spectral localization problem because the PSD needs to be calculated within moving windows at wavelengths long enough to capture the greatest possible depth to the bottom of the magnetic layer. The wavelet transform is particularly well suited to overcome this problem because it avoids splitting the grids into small windows and can therefore produce PSD functions at each point of the input grid (Gaudreau et al., 2019). This package extends the package plateflex, which contains python modules to calculate the wavelet transform and scalogram of 2D gridded data, by providing a new class MagGrid that inherits from plateflex.classes.Grid with methods to estimate the properties of the magnetic layer (depth to top of layer (zt), thickness of layer (dz), and power-law exponent of fractal magnetization (β)) using Bayesian inference. Common computational workflows are covered in the Jupyter notebooks bundled with this package. The software contains methods to make beautiful and insightful plots using the seaborn package. Author: Pascal Audet (Developer and Maintainer).