Pith. sign in

REVIEW 4 cited by

An improved SPH scheme for cosmological simulations

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1502.07358 v2 pith:ROJ74UVS submitted 2015-02-25 astro-ph.CO astro-ph.GA

classification astro-ph.COastro-ph.GA
keywords implementationsimulationscodecosmologicalentropygalaxyhydrodynamicalimproved
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We present an implementation of smoothed particle hydrodynamics (SPH) with improved accuracy for simulations of galaxies and the large-scale structure. In particular, we combine, implement, modify and test a vast majority of SPH improvement techniques in the latest instalment of the GADGET code. We use the Wendland kernel functions, a particle wake-up time-step limiting mechanism and a time-dependent scheme for artificial viscosity, which includes a high-order gradient computation and shear flow limiter. Additionally, we include a novel prescription for time-dependent artificial conduction, which corrects for gravitationally induced pressure gradients and largely improves the SPH performance in capturing the development of gas-dynamical instabilities. We extensively test our new implementation in a wide range of hydrodynamical standard tests including weak and strong shocks as well as shear flows, turbulent spectra, gas mixing, hydrostatic equilibria and self-gravitating gas clouds. We jointly employ all modifications; however, when necessary we study the performance of individual code modules. We approximate hydrodynamical states more accurately and with significantly less noise than standard SPH. Furthermore, the new implementation promotes the mixing of entropy between different fluid phases, also within cosmological simulations. Finally, we study the performance of the hydrodynamical solver in the context of radiative galaxy formation and non-radiative galaxy cluster formation. We find galactic disks to be colder, thinner and more extended and our results on galaxy clusters show entropy cores instead of steadily declining entropy profiles. In summary, we demonstrate that our improved SPH implementation overcomes most of the undesirable limitations of standard SPH, thus becoming the core of an efficient code for large cosmological simulations.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Why Cosmic Voids Matter: Pristine Evolution

    astro-ph.CO 2025-09 conditional novelty 7.0 of 10

    Cosmic voids traced by halos become stable at late times, and the matter around them evolves linearly, supporting their use as clean dark-energy probes.

  2. Average soft X-ray surface brightness profile of massive galaxy clusters in Magneticum simulations

    astro-ph.CO 2026-08 conditional novelty 6.0 of 10

    Magneticum simulations reproduce the eROSITA stacked soft X-ray surface brightness profile of massive clusters out to about 3 R500, with a central difference attributed to AGN feedback.

  3. The youth of the intracluster medium. I. A non-parametric characterisation of the gas and electron number density profiles of $z \simeq 2$ protoclusters

    astro-ph.CO 2026-07 conditional novelty 6.0 of 10

    At z≈2, Magneticum protoclusters show moderate self-similarity deviations, double-β density profiles, and hot ionised gas dominant only beyond ~0.1–0.5 R500c, with clear mass, merger and AGN trends.

  4. Towards Exascale Computing for Astrophysical Simulation Leveraging the Leonardo EuroHPC System

    cs.DC 2025-10 conditional novelty 4.0 of 10

    Porting three astrophysics codes to Leonardo's GPUs yields 78–97% parallel efficiency on up to 1,024–2,048 GPUs, with gPLUTO scaling best and OpenGadget3's production scaling still limited by its Barnes–Hut gravity tree.

Pith tools