Complete Jupyter Notebooks for both Tanaka and Bouligant approaches. Each of these outline how to compute Curie depth using the CurieGrid and CurieOptimise objects.
Bouligand approach
Posed within a Bayesian inverse framework
Gradient optimisation and MCMC methods to compute Curie depth
Flexible addition of prior information
Tanaka approach
Parameter exploration
Better handling of uncertainty in Curie depth computation
Complete Jupyter Notebooks for both Tanaka and Bouligant approaches. Each of these outline how to compute Curie depth using the
CurieGridandCurieOptimiseobjects.Bouligand approach
Tanaka approach