Free-Electron Lasers: Delivering brilliant science - Breakthroughs from the last 10 years
Free-electron lasers (FELs) enable us to probe and explore the details of the
world and universe around us with unprecedented precision. For the past
15 years X-ray free-electron lasers have shed light on the smallest structural
details and most fleeting of reactions, generating insights that...
Keywords: FEL, Free-Electron Lasers, X-ray
Resource type: brochure
Free-Electron Lasers: Delivering brilliant science - Breakthroughs from the last 10 years
https://zenodo.org/record/13759295
https://pan-training.eu/zenodomaterials/free-electron-lasers-delivering-brilliant-science-breakthroughs-from-the-last-10-years
Free-electron lasers (FELs) enable us to probe and explore the details of the
world and universe around us with unprecedented precision. For the past
15 years X-ray free-electron lasers have shed light on the smallest structural
details and most fleeting of reactions, generating insights that continually
push at the frontier of our knowledge and light up entirely new fields of science.
This builds on over 40 years of free-electron laser experience in the infrared
and ultraviolet spectrum which, alongside the more recently developed X-ray
sources, continue to deliver cutting edge science today and into the future.
FEL, Free-Electron Lasers, X-ray
Offline data analysis tutorial
Tutorial on European XFEL offline data analysis as per example of MID instrument data
Scientific topics: small angle x-ray scattering
Keywords: Extra-data, Extra-geom, pyFAI, data analysis
Resource type: jupyter notebook
Offline data analysis tutorial
https://indico.desy.de/event/33127/contributions/117081/
https://pan-training.eu/materials/offline-analysis-tutorial
Tutorial on European XFEL offline data analysis as per example of MID instrument data
small angle x-ray scattering
Extra-data, Extra-geom, pyFAI, data analysis
PaN users
beamline users
research data scientist
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://indico.desy.de/event/33127/contributions/117087/attachments/71317/91043/user_meeting_ml_intro_jan_2022.pdf
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://git.xfel.eu/danilo/ml-tutorial
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