Installation | Documentation/Tutorial | Examples
Use active learning to determine the bounded-from-below region in parameter space of a multiscalar potential in quantum field theory.
Note that it is highly recommended that BFBrain only be run on a machine with Tensorflow and Jax both installed with full GPU support. Once these installations are completed, install BFBrain with the command:
$ pip install bfbrainBFBrain was created by George Wojcik. It is licensed under the terms
of the MIT license.
If BFBrain has proved useful in your research, please give thought to citing our original paper which introduces the BFBrain package and describes its analysis approach. To cite it, use:
@article{Wojcik:2023usm,
author = "Wojcik, George N.",
title = "{BFBrain: Scalar Bounded-From-Below Conditions from Bayesian Active Learning}",
eprint = "2309.10959",
archivePrefix = "arXiv",
primaryClass = "hep-ph",
month = "9",
year = "2023"
}