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DataPostprocessing

Python notebook or scripts for common postprocessing of DIAD data

Environment Setup

  1. Load Python:

    module load python

  2. Clone this repository:

    git clone https://github.com/DIAD-beamline/DataPostprocessing
cd DataPostprocessing
unset SESSION_MANAGER

  3. Launch Jupyter Lab:

    jupyter notebook

This will open Jupyter Lab in your default web browser. Navigate to the notebook file of interest to begin working with the datasets.