ML-Reflectometry workshop

The Data Evaluation Group and the Data Driven Discovery Group are pleased to announce a Machine Learning supported – Neutron Reflectometry workshop in Garching.

This hands-on workshop will introduce both conventional and machine-learning-supported approaches to neutron reflectometry data analysis. It is intended primarily for our MLZ User community and all MLZ researchers (instrument scientists, students etc), who are interested in reflectometry and scientific machine learning.

Using prepared notebooks and simulated and experimental reflectometry data, participants will investigate posterior parameter distributions, the role of prior information, parameter correlations, and ambiguities in the inverse problem.

No advanced machine-learning experience is required. The workshop will use prepared Python notebooks and guided exercises.