Mapping stellar content to dark matter haloes – III. Environmental dependence and conformity of galaxy colours
Abstract Recent studies suggest that the quenching properties of galaxies are correlated over several megaparsecs. The large-scale ‘galactic conformity’ phenomenon around central galaxies has been regarded as a potential signature of ‘galaxy assembly bias’ or ‘pre-heating’, both of which interpret c...
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Veröffentlicht in: | Monthly notices of the Royal Astronomical Society 2018-05, Vol.476 (2), p.1637-1653 |
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Sprache: | eng |
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Zusammenfassung: | Abstract
Recent studies suggest that the quenching properties of galaxies are correlated over several megaparsecs. The large-scale ‘galactic conformity’ phenomenon around central galaxies has been regarded as a potential signature of ‘galaxy assembly bias’ or ‘pre-heating’, both of which interpret conformity as a result of direct environmental effects acting on galaxy formation. Building on the iHOD halo quenching framework developed in Zu and Mandelbaum, we discover that our fiducial halo mass quenching model, without any galaxy assembly bias, can successfully explain the overall environmental dependence and the conformity of galaxy colours in Sloan Digital Sky Survey, as measured by the mark correlation functions of galaxy colours and the red galaxy fractions around isolated primaries, respectively. Our fiducial iHOD halo quenching mock also correctly predicts the differences in the spatial clustering and galaxy–galaxy lensing signals between the more versus less red galaxy subsamples, split by the red-sequence ridge line at fixed stellar mass. Meanwhile, models that tie galaxy colours fully or partially to halo assembly bias have difficulties in matching all these observables simultaneously. Therefore, we demonstrate that the observed environmental dependence of galaxy colours can be naturally explained by the combination of (1) halo quenching and (2) the variation of halo mass function with environment – an indirect environmental effect mediated by two separate physical processes. |
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ISSN: | 0035-8711 1365-2966 |
DOI: | 10.1093/mnras/sty279 |