2015
DOI: 10.1093/mnras/stv1287
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The evolution of galaxy metallicity scaling relations in cosmological hydrodynamical simulations

Abstract: Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.… Show more

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Cited by 36 publications
(34 citation statements)
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References 99 publications
(191 reference statements)
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“…At a given M * , the metallicity of low-mass systems decreases with SFR while, for massive galaxies, the metallicity increases with SFR. Similar trends were reported by Yates et al (2012) and De Rossi et al (2015b) in the context of semi-analytical models and hydrodynamical simulations, respectively. Lagos et al (2016) explored the relation between SF gas metallicity, SFR and M * in the EAGLE Ref-L100N1504 simulation.…”
Section: F U N Da M E N Ta L M E Ta L L I C I T Y R E L At I O N a N supporting
confidence: 85%
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“…At a given M * , the metallicity of low-mass systems decreases with SFR while, for massive galaxies, the metallicity increases with SFR. Similar trends were reported by Yates et al (2012) and De Rossi et al (2015b) in the context of semi-analytical models and hydrodynamical simulations, respectively. Lagos et al (2016) explored the relation between SF gas metallicity, SFR and M * in the EAGLE Ref-L100N1504 simulation.…”
Section: F U N Da M E N Ta L M E Ta L L I C I T Y R E L At I O N a N supporting
confidence: 85%
“…It is clear that the scatter in the data at z ≈ 0 is larger than predicted by simulations (see also Schaye et al 2015). This was also noted by De Rossi et al (2015b) when using the GIMIC simulations and might be related to uncertainties in observed stellar metallicity determinations. Gallazzi et al (2005) adopted a Bayesian statistical approach to obtain Z * for individual galaxies, estimating the 68 per cent confidence interval within which this parameter is constrained.…”
Section: The M * -Z * R E L At I O Nmentioning
confidence: 56%
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