Jupyter Notebook files for analyzing XPCS data and generating figures. The data readout and analysis code is built on pyXpcsViewer. See Miaoqi Chu et al., J. Synchrotron Rad. 29, 1122 (2022).

Vector graphic figures (.pdf) are generated in JupyterLab using Matplotlib and are uploaded directly to Overleaf without any further scaling or editing.

Data Structure:

• ./Analysis/Plot_SAXS.ipynb
  Generates stacked SAXS 1D and SAXS 2D figure (Fig. 2)

• ./Analysis/Plot_g2_tauQ.ipynb
  Generates g₂ vs. τ and τ₀(Q) vs. Q figure for Sample A (Fig. 3)

• ./Analysis/Plot_tauQ_AllSamples.ipynb
  Generates τ₀(Q) vs. Q figure for Sample A, B and C (Fig. 4)

• ./Reduced_Data
  Assembly of .hdf result files from APS Beamline 8-ID-I containing g₂ and I vs. Q data for replotting the figures in the main manuscript. The .hdf files can be visualized directly in pyXpcsviewer.