Equalizing resolution in smoothed-particle hydrodynamics calculations using self-adaptive sinc kernels
Domingo Garc\'ia-Senz, Rub\'en M. Cabez\'on, Jos\'e A. Escart\'in,, Kevin Ebinger

TL;DR
This paper introduces a self-adaptive sinc kernel scheme to equalize resolution in SPH simulations, improving accuracy in low-density regions without compromising overall stability or computational efficiency.
Contribution
The authors develop a novel adaptive sinc kernel method that balances resolution across different density regions in SPH, enhancing simulation accuracy.
Findings
Improved treatment of post-shock and rarefied zones.
No adverse effects on hydrodynamic instability growth.
Low computational overhead and easy implementation.
Abstract
The smoothed-particle hydrodynamics (SPH) technique is a numerical method for solving gas-dynamical problems. It has been applied to simulate the evolution of a wide variety of astrophysical systems. The method has a second-order accuracy, with a resolution that is usually much higher in the compressed regions than in the diluted zones of the fluid. In this work, we propose and check a scheme to balance and equalize the resolution of SPH between high- and low-density regions. This method relies on the versatility of a family of interpolators called Sinc kernels, which allows increasing the interpolation quality by varying only a single parameter (the exponent of the Sinc function). The scheme is checked and validated through a number of numerical tests, from standard one-dimensional Riemann problems in shock tubes, to multidimensional simulations of explosions, hydrodynamic…
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