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Cited by 489

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

The eagle simulations of galaxy formation: Public release of halo and galaxy catalogues

Open access
McAlpine, S., Helly, J.C., Schaller, M., Trayford, J.W., Qu, Y., Furlong, M., Bower, R.G., Crain, R.A., Schaye, J., Theuns, T., Dalla Vecchia, C., Frenk, C.S., McCarthy, I.G., Jenkins, A., Rosas-Guevara, Y., White, S.D.M., Baes, M., Camps, P., Lemson, G.·2016·Astronomy and Computing
DOI 10.1016/j.ascom.2016.02.004
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Abstract

We present the public data release of halo and galaxy catalogues extracted from the EAGLE suite of cosmological hydrodynamical simulations of galaxy formation. These simulations were performed with an enhanced version of the GADGET code that includes a modified hydrodynamics solver, time-step limiter and subgrid treatments of baryonic physics, such as stellar mass loss, element-by-element radiative cooling, star formation and feedback from star formation and black hole accretion. The simulation suite includes runs performed in volumes ranging from 25 to 100 comoving megaparsecs per side, with numerical resolution chosen to marginally resolve the Jeans mass of the gas at the star formation threshold. The free parameters of the subgrid models for feedback are calibrated to the redshift z=0 galaxy stellar mass function, galaxy sizes and black hole mass - stellar mass relation. The simulations have been shown to match a wide range of observations for present-day and higher-redshift galaxies. The raw particle data have been used to link galaxies across redshifts by creating merger trees. The indexing of the tree produces a simple way to connect a galaxy at one redshift to its progenitors at higher redshift and to identify its descendants at lower redshift. In this paper we present a relational database which we are making available for general use. A large number of properties of haloes and galaxies and their merger trees are stored in the database, including stellar masses, star formation rates, metallicities, photometric measurements and mock gri images. Complex queries can be created to explore the evolution of more than 10^5 galaxies, examples of which are provided in appendix. (abridged)

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Metadata

Authors
McAlpine, S., Helly, J. C., Schaller, M., Trayford, J. W., Qu, Y., Furlong, M., Bower, R. G., Crain, R. A., Schaye, J., Theuns, T., Dalla Vecchia, C., Frenk, C. S., McCarthy, I. G., Jenkins, A., Rosas-Guevara, Y., White, S. D. M., Baes, M., Camps, P., & Lemson, G.
Venue
Astronomy and Computing
Publisher
Elsevier BV
Published
2016-04
Volume
15
Pages
72-89
ISSN
2213-1337 (ISSN-L)
DOI
10.1016/j.ascom.2016.02.004
OpenAlex
W2208215651
Cited by
489
References
56
FWCI
24.41
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The eagle simulations of galaxy formation: Public release of halo and galaxy catalogues. https://app.cochat.ai/papers/10.1016/j.ascom.2016.02.004
The paper
McAlpine, S., Helly, J. C., Schaller, M., Trayford, J. W., Qu, Y., Furlong, M., Bower, R. G., Crain, R. A., Schaye, J., Theuns, T., Dalla Vecchia, C., Frenk, C. S., McCarthy, I. G., Jenkins, A., Rosas-Guevara, Y., White, S. D. M., Baes, M., Camps, P., & Lemson, G. (2016). The eagle simulations of galaxy formation: Public release of halo and galaxy catalogues. Astronomy and Computing. https://doi.org/10.1016/j.ascom.2016.02.004

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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.