Time-dependent adaptive mesh refinement solver for the Gross-Pitaevskii-Poisson equations

Abstract: This work presents a new numerical code for solving the time--dependent Gross--Pitaevskii--Poisson (GPP) system using adaptive mesh refinement (AMR). The code is designed to study the nonlinear dynamics of self--gravitating bosonic matter in three spatial dimensions under periodic boundary conditions. It combines high--order spatial discretization, explicit time integration, and dynamic refinement driven by the magnitude of the gravitational potential. The implementation is validated through a set of test problems in the nonlinear regime. These benchmarks demonstrate that the solver accurately preserves global conservation laws, resolves strong wave interference and phase singularities, and maintains consistency across refinement levels in highly dynamical scenarios.