Computing the gravitational potential on nested meshes using the convolution method☆

Aims. Our aim is to derive a fast and accurate method for computing the gravitational potential of astrophysical objects with high contrasts in density, for which nested or adaptive meshes are required.Methods. We present an extension of the convolution method for computing the gravitational potential to the nested Cartesian grids. The method makes use of the convolution theorem to compute the gravitational potential using its integral form.Results. A comparison of our method with the iterative outside-in conjugate gradient and generalized minimal residual methods for solving the Poisson equation using nonspherically symmetric density configurations has shown a comparable performance in terms of the errors relative to the analytic solutions. However, the convolution method is characterized by several advantages and outperforms the considered iterative methods by factors 10-200 in terms of the runtime, especially when graphics processor units are utilized. The convolution method also shows an overall second-order convergence, except for the errors at the grid interfaces where the convergence is linear.Conclusions. High computational speed and ease in implementation can make the convolution method a preferred choice when using a large number of nested grids. The convolution method, however, becomes more computationally costly if the dipole moments of tightly spaced gravitating objects are to be considered at coarser grids.

Automated summary

The aim of this study is to develop a fast and accurate method for computing the gravitational potential of astrophysical objects with high contrast in density using nested or adaptive meshes. The researchers extended the convolution method to nested Cartesian grids and utilized the convolution theorem to compute the gravitational potential. The results showed that the convolution method outperformed iterative methods in terms of runtime by a factor of 10-200 when graphics processor units were utilized, and it also exhibited an overall second-order convergence.