Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,111

The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.

simba: Cosmological simulations with black hole growth and feedback

Open access
Davé, Romeel, Anglés-Alcázar, Daniel, Narayanan, Desika, Li, Qi, Rafieferantsoa, Mika H, Appleby, Sarah·2019·Monthly Notices of the Royal Astronomical Society

Abstract

We introduce the simba simulations, the next generation of the mufasa cosmological galaxy formation simulations run with gizmo’s meshless finite mass hydrodynamics. simba includes updates to mufasa’s sub-resolution star formation and feedback prescriptions, and introduces black hole growth via the torque-limited accretion model of Anglés-Alcázar et al. from cold gas and Bondi accretion from hot gas, along with black hole feedback via kinetic bipolar outflows and X-ray energy. Ejection velocities are taken to be |${\sim } 10^3\,\,{\rm km}\, {\rm s}^{-1}$| at high Eddington ratios, increasing to |${\sim } 8000\,\,{\rm km}\, {\rm s}^{-1}$| at Eddington ratios below 2 per cent, with a constant momentum input of 20L/c. simba further includes an on-the-fly dust production, growth, and destruction model. Our simba run with |$(100h^{-1}\, {\rm Mpc})^3$| and 10243 gas elements reproduces numerous observables, including galaxy stellar mass functions at z = 0−6, the stellar mass–star formation rate main sequence, H i and H2 fractions, the mass–metallicity relation at z ≈ 0, 2, star-forming galaxy sizes, hot gas fractions in massive haloes, and z = 0 galaxy dust properties. However, simba also yields an insufficiently sharp truncation of the z = 0 mass function, and too-large sizes for low-mass quenched galaxies. We show that simba’s jet feedback is primarily responsible for quenching massive galaxies.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/mnras/stz937

Cites

158 of 158 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 158 references

Cited by

See all 1,111

Metadata

Authors
Davé, R., Anglés-Alcázar, D., Narayanan, D., Li, Q., Rafieferantsoa, M. H., & Appleby, S.
Venue
Monthly Notices of the Royal Astronomical Society
Published
2019-04-03
Volume
486
Issue
2
Pages
2827-2849
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
OpenAlex
W2912395310
Cited by
1,111
References
158
FWCI
54.69
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: simba: Cosmological simulations with black hole growth and feedback. https://app.cochat.ai/papers/10.1093/mnras/stz937
The paper
Davé, R., Anglés-Alcázar, D., Narayanan, D., Li, Q., Rafieferantsoa, M. H., & Appleby, S. (2019). simba: Cosmological simulations with black hole growth and feedback. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1093/mnras/stz937

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.