The raw plotted data in the main figures 2, 3, and 4 is provided as .csv files in this top level folder. All the code used to generate the figures in the paper is provided here as well, along with the processed data files needed to reproduce the figures.

To generate the figures from scratch:

As a starting point, you need MATLAB2024b with the curve fitting toolbox and the mapping toolbox.

I also recommend you clear any of your personal files out of your local MATLAB search path so they don't conflict with functions here.

That provides the starting point for running all the code for this paper.

First, in this top level directory, run startup.m to add all the subfolders to your MATLAB path.

Next, open figure1_3dversion.nb in Mathematica. Run the whole notebook to generate all the 3d images for Figs 1 and 4.

Next, open Generate_fig1.m and run it in MATLAB. This generate Figure 1 as Fig1.png (pdf has rendering errors with symbols).

Next, open dmdimprintingdata/data/datasetBB/datasetBB.m and run it. Repeat for datasetBD, BH, and AFtoBA. This generates the processed data files and also the raw data figures, in a new folder called figures.

Next, open Generate_fig2.m and run it in MATLAB. This generate Figure 2 as Fig2.pdf, and also sfigure_fig2extra.pdf which is the extended Figure 2 data shown in the supplement.

Next, open Generate_fig3.m and run it in MATLAB. This generate Figure 3 as Fig3.pdf, and also spits out the latex for the supplement table data to the command line.

Next, run feshbachlossdata/process_scan_20241219.m and ...20241220.m. This performs fitting and field calibration for the Fig4 data.

Next, open Generate_fig4.m and run it in MATLAB. This generate Figure 4 as Fig4.pdf, using those results and also temperatureresults.mat and datasetBD.mat.

Finally, you should be able to run the .m files in the sfig_2 and sfig_3 folders in order to generate those supplement figures.

All the key code is also given in Github at: https://github.com/ChinlabLiCsCode/MediatedPairingPaper