1. Home
  2. Materials
Register training material Upload training material to Zenodo
5 materials found

Licence: European Union Public Licen...  or MIT License 

JupyLabBook

A Jupyter Notebook used as an interactive lab book on the beamline SIRIUS (SOLEIL Synchrotron).

Keywords: labbook, jupyter notebook, SIRIUS beamline

Resource type: git, jupyter notebook

JupyLabBook https://pan-training.eu/materials/jupylabbook A Jupyter Notebook used as an interactive lab book on the beamline SIRIUS (SOLEIL Synchrotron). labbook, jupyter notebook, SIRIUS beamline
JupyFluo

JupyFluo is a Jupyter Notebook to analyze X-Ray Fluorescence (XRF) experiments on the beamline SIRIUS at the synchrotron SOLEIL. The notebook should be first set up by an Expert following the instructions in the "Expert" section. User can then follow the guidelines in the "User" section to start...

Scientific topics: x-ray fluorescence

Keywords: X-ray fluorescence, jupyter notebook, SIRIUS beamline

Resource type: git, jupyter notebook

JupyFluo https://pan-training.eu/materials/jupyfluo JupyFluo is a Jupyter Notebook to analyze X-Ray Fluorescence (XRF) experiments on the beamline SIRIUS at the synchrotron SOLEIL. The notebook should be first set up by an Expert following the instructions in the "Expert" section. User can then follow the guidelines in the "User" section to start using the notebook. Please note that the notebook is currently in development. As such, be skeptical about any unexpected results. Any feedback on the notebook or the code is welcome. x-ray fluorescence X-ray fluorescence, jupyter notebook, SIRIUS beamline
iFit: a simple library to analyze data

The iFit library (pronounce [eye-fit]) is a set of methods to load, analyze, plot, fit and optimize scientific data sets and models, and export results. iFit is based on Matlab, but can also be launched without Matlab license (stand-alone version).Matlab The library focuses on doing the math...

Keywords: McStas, DFT, phonons, matlab

Resource type: Git, tool

iFit: a simple library to analyze data https://pan-training.eu/materials/ifit-a-simple-library-to-analyze-data The iFit library (pronounce [eye-fit]) is a set of methods to load, analyze, plot, fit and optimize scientific data sets and models, and export results. iFit is based on Matlab, but can also be launched without Matlab license (stand-alone version).Matlab The library focuses on doing the math right. Any text file can be imported straight away, and a large set of binary files are supported. Any data dimensionality can be handled, including event based data sets (even though not all methods do work for these). Any model can be assembled for fitting data sets. McStas, DFT, phonons, matlab
h5web: stand-alone, web-based viewer to explore HDF5 files

H5Web is a collection of React components to visualize and explore data. It consists of two packages: - @h5web/lib: visualization components built with react-three-fiber. - @h5web/app: a stand-alone, web-based viewer to explore HDF5 files.

Keywords: hdf5, Visualization

Resource type: tool

h5web: stand-alone, web-based viewer to explore HDF5 files https://pan-training.eu/materials/h5web-stand-alone-web-based-viewer-to-explore-hdf5-files H5Web is a collection of React components to visualize and explore data. It consists of two packages: - @h5web/lib: visualization components built with react-three-fiber. - @h5web/app: a stand-alone, web-based viewer to explore HDF5 files. hdf5, Visualization
Python Laser Image Visualization

Tool showing pictures from different cameras (directories) in a grid and a stepwise counter-based scroll functionality. Most of the layout and (future) filter options are defined by command line to allow an easy integration into an workflow based on CWL, OWL (or Knime). In future developments...

Keywords: Python, Laser, Visualization, Cameras, Laser Ion Acceleration, Qt5

Resource type: software, git

Python Laser Image Visualization https://pan-training.eu/materials/python-laser-image-visualization Tool showing pictures from different cameras (directories) in a grid and a stepwise counter-based scroll functionality. Most of the layout and (future) filter options are defined by command line to allow an easy integration into an workflow based on CWL, OWL (or Knime). In future developments most of the parameters can be changed interactive and saved to a json file which can be used to describe the next workflow inputs, so that an interactive workflow development is possible. Python, Laser, Visualization, Cameras, Laser Ion Acceleration, Qt5 PaN Community Photon Community