Welcome to pyEELSMODEL’s documentation!

Contents:

• What is pyEELSMODEL
• Installing
• Introduction to pyEELSMODEL
• Coreloss Example
• pyEELSMODEL package
• Acknowledgments

Constained linear fitting via quadratic programming

The new version includes constrained linear fitting which is used for both the linear background model and fine structure in the model-based approach. More in depth information be found in Van den Broek et al. and Jannis et al.. Following notebooks showcase how to use these novel methods. 1. InequalityBackground.ipynb: Shows how to use the constrained background model 2. ConstrainedFineStructure.ipynb: Shows how to use the constrained fine structure and its adavantage compared to unconstraiend 3. TbScO3Example.ipynb: Applies the novel methodologies to an experimental dataset.