iris: Ultrafast electron diffraction data exploration

iris is both a library for interacting with ultrafast electron diffraction data, as well as a GUI frontend to interactively explore this data.

The code presented herein has been in use at some point by the Siwick research group.

Links

• Source code

• Issues

General Documentation

• Installation
  • Standalone Installation
  • Installing the Python Package
  • Test data
  • Testing
• Using iris: typical workflow
  • Before you start
  • Startup
  • Loading raw data
  • Data reduction
  • Data exploration
  • Polycrystalline data exploration
  • Polycrystalline scattering vector calibration
• Datasets in Iris
  • The DiffractionDataset object
  • The PowderDiffractionDataset object
  • HDF5 layout
• Dataset Plug-ins
  • Installing a plug-in
• Subclassing AbstractRawDataset
  • How to assemble a AbstractRawDataset subclass
  • AbstractRawDataset metadata
• Reference/API
  • Opening raw datasets
  • Raw Dataset Classes
  • Diffraction Dataset Classes
• What’s new
  • Release 5.3.4
  • Release 5.3.3
  • Release 5.3.2
  • Release 5.3.1
  • Release 5.3.0
  • 5.2.5
  • 5.2.4
  • 5.2.3
  • 5.2.2
  • 5.2.1
  • 5.2.0
  • 5.1.3
  • 5.1.2
  • 5.1.1
  • 5.1.0
  • 5.0.5.1
  • 5.0.5
  • 5.0.4
  • 5.0.3
  • 5.0.2
  • 5.0.1
  • 5.0.0

Authors

• Laurent P. René de Cotret (McGill)