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Difficulty level: Knowledge-dependent 

Tutorials for Nexus - Nuclear Elastic X-ray scattering Universal Software

Tutorials for the software package Nexus. The Nuclear Elastic X-ray scattering Universal Software (Nexus) is a Python package for simulating and fitting of Moessbauer spectra, nuclear resonant scattering (NRS) data, pure electronic X-ray reflectivities (XRR), nuclear X-ray reflectivities (nXRR),...

Scientific topics: nuclear resonant scattering, resonant scattering

Tutorials for Nexus - Nuclear Elastic X-ray scattering Universal Software https://pan-training.eu/materials/tutorials-for-nexus-nuclear-elastic-x-ray-scattering-universal-software Tutorials for the software package Nexus. The Nuclear Elastic X-ray scattering Universal Software (Nexus) is a Python package for simulating and fitting of Moessbauer spectra, nuclear resonant scattering (NRS) data, pure electronic X-ray reflectivities (XRR), nuclear X-ray reflectivities (nXRR), and polarization dependent electronic scattering. nuclear resonant scattering resonant scattering
A deep dive into the mathematics of Machine Learning

Crash course on Machine Learning

Keywords: machine learning

Resource type: slides

A deep dive into the mathematics of Machine Learning https://pan-training.eu/materials/a-deep-dive-into-the-mathematics-of-machine-learning Crash course on Machine Learning machine learning research data scientist masters students PhD students
Jupyter notebooks on Machine Learning for scientific data analysis

Jupyter Notebooks serving as supplementary material for a tutorial on Machine Learning, originally presented at the 2022 European XFEL user meeting.

Resource type: jupyter notebook

Jupyter notebooks on Machine Learning for scientific data analysis https://pan-training.eu/materials/jupyter-notebooks-on-machine-learning-for-scientific-data-analysis Jupyter Notebooks serving as supplementary material for a tutorial on Machine Learning, originally presented at the 2022 European XFEL user meeting. research data scientist PhD students masters students