HFBTHO-AD: Differentiation of a nuclear energy density functional code
Abstract
The HFBTHO code implements a nuclear energy density functional solver to model the structure of atomic nuclei. HFBTHO has previously been used to calibrate energy functionals and perform sensitivity analysis by using derivative-free methods. To enable derivative-based optimization and uncertainty quantification approaches, we must compute the derivatives of HFBTHO outputs with respect to the parameters of the energy functional, which are a subset of all input parameters of the code. We use the algorithmic/automatic differentiation (AD) tool Tapenade to differentiate HFBTHO. We compare the derivatives obtained using AD against finite-difference approximation and examine the performance of the derivative computation.
Keywords
Cite
@article{arxiv.2508.11910,
title = {HFBTHO-AD: Differentiation of a nuclear energy density functional code},
author = {Laurent Hascoët and Matt Menickelly and Sri Hari Krishna Narayanan and Jared O'Neal and Nicolas Schunck and Stefan M. Wild},
journal= {arXiv preprint arXiv:2508.11910},
year = {2025}
}
Comments
35 pages, 4 Tables, 5 Figures, 3 Appendices