random-phase-approximation

Execution/visualization framework for microscopic nuclear models, based on signac.

DEPENDENCIES:

• compiled microscopic nuclear model executables, from nuclear-codes
  • the executables should be placed under bin/
• TALYS >= 1.9, with
  • database in ~/src/talys/
  • binary at ~/bin/talys

INSTALLATION:

• install Miniconda Python distribution, then

$ conda env create -f environment.yml
$ conda activate random-phase-approximation
$ python -m pip install -e mypackage dataash5 figstyle

For interactive plots inside jupyter lab:

$ jupyter labextension install @jupyter-widgets/jupyterlab-manager
$ jupyter labextension install jupyter-matplotlib

Note: If you already have an older version of the environment installed, you can remove it via

$ conda remove --name random-phase-approximation --all

or update via

$ conda env update -f environment.yml