We constrain models of the galaxy distribution in the cosmic web using data from the Galaxy and Mass Assembly (GAMA) survey. We model the redshift-space behaviour of the 2-point correlation function (2pcf) and the recently proposed Voronoi volume function (VVF) – which includes information beyond 2-point statistics. We extend the standard halo model using extra satellite degrees of freedom and two assembly bias parameters, and , which respectively correlate the occupation numbers of central and satellite galaxies with their host halo’s tidal environment. We measure and using a combination of 2pcf and VVF measurements, representing a detection of assembly bias at the 3.3 (2.4) significance level for satellite (central) galaxies. This result remains robust to possible anisotropies in the halo-centric distribution of satellites as well as technicalities of estimating the data covariance. We show that the growth rate () deduced using models with assembly bias is about 7% (i.e. ) lower than if assembly bias is ignored. When projected onto the - plane, the model constraints without assembly bias overlap with Planck expectations, while allowing assembly bias introduces significant tension with Planck, preferring either a lower or a lower . Finally, we find that the all-galaxy weak lensing signal is unaffected by assembly bias, but the central and satellite sub-populations individually show significantly different signals in the presence of assembly bias. Our results illustrate the importance of accurately modelling galaxy formation for cosmological inference from future surveys.

生成讲解博客的中文版本

生成AI智能校验的中文版本