Famewoks

This project is primarily targeted to the users of the FAME beamlines, FAME-UHD and FAME-PIX, the French CRG X-ray spectroscopy beamlines at the ESRF. The goal is to help applying common data reduction/analysis workflows at the beamline.

The code should be compatible with any data collected at other ESRF beamlines with the BLISS control software. But it has not been tested with such datasets yet.

The project is under active development and my be affected by bugs. Please, subscribe to the fame-data-analysis@esrf.fr mailing list here to be kept updated about bug fixes and new features. Report bugs and features requests directly in the famewoks issues tracker or by directly sending an email to mauro.rovezzi@esrf.fr.

Contents

• Quickstart
  • You are still doing an experiment on the beamline
  • Your experiment is finished and your data are not archived yet
  • You want to work locally on your computer
• Using famewoks remotely via the ESRF JupyterHub service jupyter-slurm.esrf.fr
  • 0) Basics (only for those who are not familiar with the Jupyter ecosystem, otherwise skip this)
  • 1) Install the famewoks Python environemnt in jupyter-slurm.esrf.fr
  • Frequently asked questions (FAQ)
• Local installation (e.g. on your own computer)
  • Minimal installation procedure for an Unix-like OS
  • Alteranative procedure for Windows users who do not want to use WSL
• Data model
• Notebooks
  • Data reduction and evaluation workflow
  • RIXS data extraction workflow
  • Sample absorption calculation
  • Beamline monitoring (WORK IN PROGRESS)

Indices and tables

• Index

• Module Index

• Search Page