Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/35625
Title: | THE THREE HUNDRED project: The GIZMO-SIMBA run | Authors: | Cui, Weiguang Dave, Romeel Knebe, Alexander RASIA, ELENA Gray, Meghan Pearce, Frazer Power, Chris Yepes, Gustavo Anbajagane, Dhayaa Ceverino, Daniel Contreras-Santos, Ana de Andres, Daniel De Petris, Marco ETTORI, STEFANO Haggar, Roan Li, Qingyang Wang, Yang Yang, Xiaohu BORGANI, Stefano Dolag, Klaus Zu, Ying Kuchner, Ulrike Cañas, Rodrigo Ferragamo, Antonio GIANFAGNA, GIULIA |
Issue Date: | 2022 | Journal: | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | Number: | 514 | Issue: | 1 | First Page: | 977 | Abstract: | We introduce GIZMO-SIMBA, a new suite of galaxy cluster simulations within THE THREE HUNDRED project. THE THREE HUNDRED consists of zoom re-simulations of 324 clusters with $M_{200}\gtrsim 10^{14.8}\, \mathrm{M}_\odot$ drawn from the MultiDark-Planck N-body simulation, run using several hydrodynamic and semi-analytical codes. The GIZMO-SIMBA suite adds a state-of-the-art galaxy formation model based on the highly successful SIMBA simulation, mildly re-calibrated to match $z$ = 0 cluster stellar properties. Comparing to THE THREE HUNDRED zooms run with GADGET-X, we find intrinsic differences in the evolution of the stellar and gas mass fractions, BCG ages, and galaxy colour-magnitude diagrams, with GIZMO-SIMBA generally providing a good match to available data at $z$ ≈ 0. GIZMO-SIMBA's unique black hole growth and feedback model yields agreement with the observed BH scaling relations at the intermediate-mass range and predicts a slightly different slope at high masses where few observations currently lie. GIZMO-SIMBA provides a new and novel platform to elucidate the co-evolution of galaxies, gas, and black holes within the densest cosmic environments. | URI: | http://hdl.handle.net/20.500.12386/35625 | URL: | https://academic.oup.com/mnras/article/514/1/977/6590057 http://arxiv.org/abs/2202.14038v2 |
ISSN: | 0035-8711 | DOI: | 10.1093/mnras/stac1402 | Bibcode ADS: | 2022MNRAS.514..977C | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
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stac1402.pdf | Pdf editoriale | 3.79 MB | Adobe PDF | View/Open |
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