FLAMINGO: calibrating large cosmological hydrodynamical simulations with machine learning

Kugel, R.H.; Schaye, J.; Schaller, M.; Helly, J.C.; Braspenning, J.R.; Elbers, W.; Frenk, C.S.; McCarthy, I.G.; Kwan, J.; Salcido, J.; Daalen, M.P. van; Vandenbroucke, B.W.J.; Bahé, Y.M.; Borrow, J.; Chaikin, E.; Huško, F.; Jenkins, A.; Lacey, C.G.; Nobels, F.S.J.; Vernon, I.

doi:10.1093/mnras/stad2540

FLAMINGO: calibrating large cosmological hydrodynamical simulations with machine learning

Author(s):: Kugel, R.H.; Schaye, J. (0000-0002-0668-5560); Schaller, M. (0000-0002-2395-4902); Helly, J.C.; Braspenning, J.R.; Elbers, W.; Frenk, C.S.; McCarthy, I.G.; Kwan, J.; Salcido, J.; Daalen, M.P. van (0000-0002-8801-4911); Vandenbroucke, B.W.J.; Bahé, Y.M.; Borrow, J.; Chaikin, E.; Huško, F.; Jenkins, A.; Lacey, C.G.; Nobels, F.S.J.; Vernon, I.

Published: 2023
Publication type: Article / Letter to editor

Methods: numericalMethods: statisticalGalaxies: clusters: generalGalaxies: formationLarge-scale structure of universeCosmology: theoryAstrophysics - Cosmology and nongalactic astrophysics

Date issued: 2023
Language: English
Is part of: Monthly Notices of the Royal Astronomical Society (2023), Vol. 526, no. 4, p. 6103-6127
hdl: 1887/3719076
doi: 10.1093/mnras/stad2540
URL: https://ui.adsabs.harvard.edu/abs/2023MNRAS.526.6103K

FLAMINGO: calibrating large cosmological hydrodynamical simulations with machine learning

Persistent identifier url

Documents