3D galaxy clustering with future wide-field surveys: Advantages of a spherical Fourier-Bessel analysis

TL;DR

This study compares spherical Fourier-Bessel and tomographic methods for analyzing 3D galaxy clustering in future wide-field surveys, finding SFB more robust and advantageous for survey optimization, especially at higher redshifts.

Contribution

It introduces a comprehensive comparison between 3D SFB and tomographic analyses, including non-linear scales and galaxy bias, demonstrating the advantages of SFB for future survey design.

Findings

3D SFB constraints are less affected by galaxy bias systematics.

SFB method outperforms tomography at higher redshifts.

SFB analysis provides more powerful constraints for survey optimization.

Abstract

Upcoming spectroscopic galaxy surveys are extremely promising to help in addressing the major challenges of cosmology, in particular in understanding the nature of the dark universe. The strength of these surveys comes from their unprecedented depth and width. Optimal extraction of their three-dimensional information is of utmost importance to best constrain the properties of the dark universe. Although there is theoretical motivation and novel tools to explore these surveys using the 3D spherical Fourier-Bessel (SFB) power spectrum of galaxy number counts $C_\ell(k,k^\prime)$, most survey optimisations and forecasts are based on the tomographic spherical harmonics power spectrum $C^{(ij)}_\ell$. We performed a new investigation of the information that can be extracted from the tomographic and 3D SFB techniques by comparing the forecast cosmological parameter constraints obtained from a Fisher analysis in the context of planned stage IV wide-field galaxy surveys. The comparison was made possible by careful and coherent treatment of non-linear scales in the two analyses. Nuisance parameters related to a scale- and redshift-dependent galaxy bias were also included for the first time in the computation of both the 3D SFB and tomographic power spectra. Tomographic and 3D SFB methods can recover similar constraints in the absence of systematics. However, constraints from the 3D SFB analysis are less sensitive to unavoidable systematics stemming from a redshift- and scale-dependent galaxy bias. Even for surveys that are optimised with tomography in mind, a 3D SFB analysis is more powerful. In addition, for survey optimisation, the figure of merit for the 3D SFB method increases more rapidly with redshift, especially at higher redshifts, suggesting that the 3D SFB method should be preferred for designing and analysing future wide-field spectroscopic surveys.