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GIZMO: A New Class of Accurate, Mesh-Free Hydrodynamic Simulation Methods

13 Pith papers cite this work. Polarity classification is still indexing.

13 Pith papers citing it
abstract

We present two new Lagrangian methods for hydrodynamics, in a systematic comparison with moving-mesh, SPH, and stationary (non-moving) grid methods. The new methods are designed to simultaneously capture advantages of both smoothed-particle hydrodynamics (SPH) and grid-based/adaptive mesh refinement (AMR) schemes. They are based on a kernel discretization of the volume coupled to a high-order matrix gradient estimator and a Riemann solver acting over the volume 'overlap.' We implement and test a parallel, second-order version of the method with self-gravity & cosmological integration, in the code GIZMO: this maintains exact mass, energy and momentum conservation; exhibits superior angular momentum conservation compared to all other methods we study; does not require 'artificial diffusion' terms; and allows the fluid elements to move with the flow so resolution is automatically adaptive. We consider a large suite of test problems, and find that on all problems the new methods appear competitive with moving-mesh schemes, with some advantages (particularly in angular momentum conservation), at the cost of enhanced noise. The new methods have many advantages vs. SPH: proper convergence, good capturing of fluid-mixing instabilities, dramatically reduced 'particle noise' & numerical viscosity, more accurate sub-sonic flow evolution, & sharp shock-capturing. Advantages vs. non-moving meshes include: automatic adaptivity, dramatically reduced advection errors & numerical overmixing, velocity-independent errors, accurate coupling to gravity, good angular momentum conservation and elimination of 'grid alignment' effects. We can, for example, follow hundreds of orbits of gaseous disks, while AMR and SPH methods break down in a few orbits. However, fixed meshes minimize 'grid noise.' These differences are important for a range of astrophysical problems.

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2026 13

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representative citing papers

Virial-based extraction of structures in numerical simulations: The vibes tool

astro-ph.SR · 2026-06-07 · unverdicted · novelty 7.0 · 2 refs

Vibes is a new algorithm that extracts physically motivated core structures from numerical star formation simulations by applying the virial theorem iteratively around density peaks to determine boundaries from energy balance rather than user-set density thresholds.

A fast spectral-multigrid Poisson solver in non-Cartesian geometries

astro-ph.IM · 2026-06-16 · unverdicted · novelty 6.0

A spectral-multigrid Poisson solver for spherical and cylindrical coordinates achieves second-order accuracy on uniform and logarithmic radial grids with vacuum boundary handling via screening mass and scales to 4096 cores.

The role of major mergers in triggering super-Eddington accretion

astro-ph.GA · 2026-06-02 · unverdicted · novelty 4.0

High-resolution cosmological zoom-in simulations find that major mergers do not trigger sustained super-Eddington black hole accretion in low-mass halos when feedback is included; episodes occur only immediately after seeding or with feedback disabled.

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Showing 13 of 13 citing papers.