BiFold: A Python code for the calculation of double folded (bifold) potentials with density-in/dependent nucleon-nucleon interactions

TL;DR

BiFold is a Python package that calculates double folded nuclear potentials using density-dependent or independent nucleon-nucleon interactions, facilitating their direct use in nuclear reaction and structure simulations.

Contribution

It introduces a Python tool for calculating double folded nuclear potentials with flexible density inputs, streamlining nuclear physics computations.

Findings

Supports various density functions including Woods-Saxon and Gaussian

Allows use of pre-calculated nuclear matter densities

Enables direct application in nuclear reaction/structure codes

Abstract

BiFold calculates the density-dependent (DDM3Y$n$, BDM3Y$n$, CDM3Y$n$) or independent double folded potentials between two colliding spherical nuclei. It is written in a Python package form to give the ability to use the potentials directly in a nuclear reaction/structure code. In addition to using Woods-Saxon/Fermi or Gaussian functions, the code also allows for the definition of nuclear matter densities using pre-calculated densities in a data file. The manuscript provides an overview of the double folding model and the use of the code.