Documentation at https://thenoursehorse.github.io/risb

Copyright (C) 2016-2023 H. L. Nourse and B. J. Powell, 2016-2022 R. H. McKenzie

Tools to solve strongly correlated many-body electronic problems using rotationally invariant slave-bosons (RISB), an auxilliary particle method. RISB is like dynamical mean-field theory (DMFT), but solves problems in a fraction of the time, with hopefully not a fraction of the accuracy.

If you want to learn how to solve some common strongly correlated lattice models, and how RISB is implemented, then start with the tutorials.

If you want to quickly see a calculation, then start with the examples/ folder in this repository and refer to the how-to guides.

We kindly request that you cite the following paper if your project uses our code:

H. L. Nourse, Ross H. McKenzie, and B. J. Powell Phys. Rev. B 103, L081114 (2021)

The TRIQS library should also be cited if any of their library is used:

O. Parcollet, M. Ferrero, T. Ayral, H. Hafermann, I. Krivenko, L. Messio, and P. Seth, Comp. Phys. Comm. 196, 398-415 (2015)

If the default root DIIS method is used in the Solver classes you should also cite:

M. Chupin, M.-S. Dupuy, G. Legendre and É. Séré, ESAIM: M2AN 55, 6, 2785-2825 (2021)

Lastly, the appropriate original theory outlined in the documentation should be cited.

• python version > 3.10
• numpy
• scipy
• TRIQS version 3.2.x if using :class:EmbeddingAtomDiag

(Optional) Create a virtual environment.

Install

pip install risb

pip uninstall risb

There is a Dockerfile and docker-compose.yml inside the docker folder. The Dockerfile will pull the TRIQS docker image from the hub and install risb. Using the image will be the same as outlined in the install instructions. To connect to the Jupyter notebook it is

localhost:8888/?token=put/token/here

You can find the token by attaching a shell to the container and running

jupyter server list

There is also a development Dockerfile.dev and the corresponding docker-compose-dev.yml in order to have a container to develop code. It installs TRIQS from source, and works on Apple M1/M2 (arm64, aarch64), and any amd64 system.

The tests require a working TRIQS installation.

Clone source

git clone https://github.com/thenoursehorse/risb
cd risb

Install the prerequisites

pip install -e .[test]

Tests are run with

pytest

Clone source

git clone https://github.com/thenoursehorse/risb
cd risb

Install the prerequisites

pip install -e .[docs]

Build the API

sphinx-apidoc -o docs/api --module-first --no-toc --force --separate src/risb

Build the documentation and set up a local server

sphinx-autobuild -b html docs docs/_build

Access through a browser at http://127.0.0.1:8000.