Supplementary material: Dynamical mean-field theory of the Anderson–Hubbard model with local and non-local disorder in tensor formulation

<strong>Supplementary material</strong><br> ====================== This is the supplementary material to the article<br> ``Dynamical mean-field theory of the Anderson–Hubbard model with local and<br> non-local disorder in tensor formulation``. It contains the DMFT data, the scripts to produces the figures, and some numerical<br> tests for some of the given equations <br> <strong>Scripts</strong><br> ------- `Python3` (at least 3.6) is required to run the scripts,<br> the necessary dependencies are specified by `requirements.txt`:: $ pip install -r requirements.txt In case there are dependency problems, pipenv can be used to reproduce the<br> exact environment used to run the scripts:: $ pip install pipenv<br> $ pipenv install<br> $ pipenv run shell <br> <strong>Data</strong><br> ---- The directory `DMFT_data` contains the final iteration of the DMFT calculations<br> shown in the article. The directories are named after the parameters,<br> where `U` is the Hubbard interaction, `V` the on-site energy, and<br> `tab` the hopping parameter between components `A` and `B`.<br> If parameters differ for the components they are given as `Ua`, `Ub` … Each directory contains the subdirectories `lattice_output` with the (local)<br> lattice quantifies and `impurity_ouput` with the results of the effective<br> impurity models (SIAMs). The data is provided as `HDF5` files, it can be conveniently processed and<br> visualized using Python's xarray module.<br> A convenient `open_dataset` method is provided in `plotting_scripts/dataio.py`. <br> <strong>Figures</strong><br> ------- The directory `plotting_scripts` contains the Python scripts to generate the<br> figures. They are prefixed with `figN_` according to the figure numbers. <br> <strong>Tests</strong><br> ----- The directory `test_scripts` contains some numerical test for formulas given in<br> the article. The files prefixed with `test_` can be executed by running pytest. The scripts prefixed with `frequency_expansion_` provide only a visual check<br> of the high-frequency expansion, they are directly run with `python`. You can<br> verify by eye that the BEB effective medium converges against the high-frequency<br> moments given in the article.