Speaker
Description
There are several effects that distort the clustering of galaxies, the largest of which being the well-known redshift-space distortion. In this talk I will discuss the more subtle effect of gravitational redshift. The impact of this non-kinematic effect in the auto-correlations is suppressed relative to RSD and is best probed in the odd multipoles of the cross-correlation function between distinct tracers. Here the dipole has emerged as the best prospect for detecting the gravitational redshift from large-scale structure. Recent work however has shown that the strongest detection will likely be from mildly nonlinear scales, presenting a modelling challenge. To this end, I will describe recent modelling efforts. In particular, I will show how to generalise the workhorse model of the correlation function, the so-called streaming model, to include in a compact way not only the gravitational redshift but several other important effects (wide-angle effects, evolution effects, nonlinearities, magnification bias, etc). Several insights related to computing correlations in redshift space will be discussed.