SPHYNX: an accurate density-based SPH method for astrophysical applications
Ruben M. Cabezon, Domingo Garcia-Senz, Joana Figueira

TL;DR
SPHYNX is a new SPH code that improves the simulation of astrophysical hydrodynamics by reducing instabilities and shocks through advanced gradient estimation, flexible kernels, and density-based volume elements.
Contribution
The paper introduces SPHYNX, a novel SPH method with integral gradient estimation, sinc kernels, and density-based volume elements, enhancing accuracy and stability in astrophysical simulations.
Findings
SPHYNX accurately models hydrodynamical instabilities and shocks.
It performs comparably or better than existing SPH codes like GADGET-2 and DISPH.
The method effectively suppresses tensile instability and improves simulation fidelity.
Abstract
Hydrodynamical instabilities and shocks are ubiquitous in astrophysical scenarios. Therefore, an accurate numerical simulation of these phenomena is mandatory to correctly model and understand many astrophysical events, such as Supernovas, stellar collisions, or planetary formation. In this work, we attempt to address many of the problems that the smoothed particle hydrodynamics (SPH) technique has when dealing with subsonic hydrodynamical instabilities or shocks. To that aim we built a new SPH code named SPHYNX, that includes many of the recent advances in the SPH technique and some other new ones, which we present here. SPHYNX is of Newtonian type and grounded in the Euler-Lagrange formulation of the SPH technique. Its distinctive features are: the use of an integral approach to estimating the gradients; the use of a flexible family of interpolators called sinc kernels, which suppress…
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