iris
master
  • Installation
  • Using iris: typical workflow
  • Datasets in Iris
  • Dataset Plug-ins
  • Subclassing AbstractRawDataset
  • Reference/API
  • What’s new
iris
  • Docs »
  • iris: Ultrafast electron diffraction data exploration
  • Edit on GitHub

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.

_images/iris_screen.png

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
    • 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)
Next

© Copyright 2019 Laurent P. René de Cotret Revision 54d01085.

Built with Sphinx using a theme provided by Read the Docs.
Read the Docs v: master
Versions
master
stable
5.2.0
5.1.3
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.