The FLAMINGO project: cosmological hydrodynamical simulations for large-scale structure and galaxy cluster surveys

Author:

Schaye Joop1ORCID,Kugel Roi1ORCID,Schaller Matthieu12ORCID,Helly John C3,Braspenning Joey1,Elbers Willem3ORCID,McCarthy Ian G4ORCID,van Daalen Marcel P1ORCID,Vandenbroucke Bert1ORCID,Frenk Carlos S3,Kwan Juliana4,Salcido Jaime4ORCID,Bahé Yannick M15ORCID,Borrow Josh36ORCID,Chaikin Evgenii1ORCID,Hahn Oliver78ORCID,Huško Filip3ORCID,Jenkins Adrian3ORCID,Lacey Cedric G3ORCID,Nobels Folkert S J1ORCID

Affiliation:

1. Leiden Observatory, Leiden University , PO Box 9513, 2300 RA Leiden , the Netherlands

2. Lorentz Institute for Theoretical Physics, Leiden University , PO Box 9506, 2300 RA Leiden , the Netherlands

3. Institute for Computational Cosmology, Department of Physics, University of Durham , South Road, Durham, DH1 3LE , UK

4. Astrophysics Research Institute, Liverpool John Moores University , Liverpool L3 5RF , UK

5. Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne (EPFL) , Obervatoire de Sauverny, 1290 Versoix , Switzerland

6. Department of Physics, Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology , Cambridge, MA 02139 , USA

7. Department of Astrophysics, University of Vienna , Türkenschanzstrasse 17, 1180 Vienna , Austria

8. Department of Mathematics, University of Vienna , Oskar-Morgenstern-Platz 1, 1090 Vienna , Austria

Abstract

ABSTRACT We introduce the Virgo Consortium’s FLAMINGO suite of hydrodynamical simulations for cosmology and galaxy cluster physics. To ensure the simulations are sufficiently realistic for studies of large-scale structure, the subgrid prescriptions for stellar and AGN feedback are calibrated to the observed low-redshift galaxy stellar mass function and cluster gas fractions. The calibration is performed using machine learning, separately for each of FLAMINGO’s three resolutions. This approach enables specification of the model by the observables to which they are calibrated. The calibration accounts for a number of potential observational biases and for random errors in the observed stellar masses. The two most demanding simulations have box sizes of 1.0 and 2.8 Gpc on a side and baryonic particle masses of 1 × 108 and $1\times 10^9\, \text{M}_\odot$, respectively. For the latter resolution, the suite includes 12 model variations in a 1 Gpc box. There are 8 variations at fixed cosmology, including shifts in the stellar mass function and/or the cluster gas fractions to which we calibrate, and two alternative implementations of AGN feedback (thermal or jets). The remaining 4 variations use the unmodified calibration data but different cosmologies, including different neutrino masses. The 2.8 Gpc simulation follows 3 × 1011 particles, making it the largest ever hydrodynamical simulation run to z = 0. Light-cone output is produced on-the-fly for up to 8 different observers. We investigate numerical convergence, show that the simulations reproduce the calibration data, and compare with a number of galaxy, cluster, and large-scale structure observations, finding very good agreement with the data for converged predictions. Finally, by comparing hydrodynamical and ‘dark-matter-only’ simulations, we confirm that baryonic effects can suppress the halo mass function and the matter power spectrum by up to ≈20 per cent.

Funder

STFC

H2020 Marie Skłodowska-Curie Actions

NWO

Swiss National Science Foundation

European Research Council

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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