Redshift-space distortions from the cross-correlation of photometric populations

TL;DR

This paper demonstrates that including cross-correlations between redshift bins and multiple galaxy populations in photometric surveys significantly improves measurements of the growth rate of structure, enabling more precise cosmological constraints.

Contribution

It extends the analysis of redshift space distortions to include cross-correlations and multiple galaxy populations, enhancing the accuracy of growth rate measurements from photometric data.

Findings

Adding cross-correlations reduces error in 3 by a factor of ~2.

Using two galaxy populations improves 3 measurement by 2-3 times.

Photometric surveys can achieve 5-10% accuracy in 3 and constrain f(z)(z) evolution.

Abstract

Several papers have recently highlighted the possibility of measuring redshift space distortions from angular auto-correlations of galaxies in photometric redshift bins. In this work we extend this idea to include as observables the cross-correlations between redshift bins, as an additional way of measuring radial information. We show that this extra information allows to reduce the recovered error in the growth rate index \gamma by a factor of ~2. Although the final error in \gamma depends on the bias and the mean photometric accuracy of the galaxy sample, the improvement from adding cross-correlations is robust in different settings. Another factor of 2-3 improvement in the determination of \gamma can be achieved by considering two galaxy populations over the same photometric sky area but with different biases. This additional gain is shown to be much larger than the one from the same populations when observed over different areas of the sky (with twice the combined area). The total improvement of ~5 implies that a photometric survey such as the Dark Energy Survey should be able to recover \gamma at the 5-10% from the angular clustering in linear scales of two different tracers. It can also constrain the evolution of f(z)x\sigma_8(z) in few bins beyond z~0.8-0.9 at the 10-15% level per-bin, compatible with recent constrains from lower-z spectroscopic surveys. We also show how further improvement can be achieved by reducing the photometric redshift error.