Constraining neutrino mass with the CSST galaxy clusters

TL;DR

This paper forecasts how galaxy clusters from the CSST can improve constraints on neutrino mass using Fisher matrix analysis, considering systematics and effects like GISDB.

Contribution

It introduces a comprehensive forecast of neutrino mass constraints from CSST galaxy clusters, including systematics and the GISDB effect, which enhances constraint precision.

Findings

CSST clusters can constrain neutrino mass to ~0.03 eV with perfect scaling relation knowledge.

Accounting for GISDB improves neutrino mass constraints by a factor of 1.2 to 2.2.

Dark energy has a minor impact on neutrino mass constraints in the models studied.

Abstract

With the advent of next-generation surveys, constraints on cosmological parameters are anticipated to become more stringent, particularly for the total neutrino mass. This study forecasts such constraints utilizing galaxy clusters from the Chinese Space Station Telescope (CSST). Employing Fisher matrix techniques, we derive the constraint $\sigma(M_\nu)$ from cluster number counts, cluster power spectrum, and their combination. The investigation covers both the standard cosmological model with massive neutrinos $\nu\Lambda$CDM and the inclusion of dynamic dark energy in the $\nu w_0 w_a$CDM model, revealing a minor impact of dark energy on neutrino mass constraints. We examine the largest source of systematic arising from the mass-observable relation uncertainties and find that, with perfect knowledge of the scaling relation parameters, CSST clusters have the potential to enhance precision, tightening constraints to $\sim0.03$ eV. We also study the effects of the maximum redshift $z_{max}$ and other uncertainties, including those in redshift, halo mass function, and bias. Furthermore, we emphasize the significance of accounting for the growth-induced scale-dependent bias (GISDB) effect, which we find can tighten the final constraint by a factor of $1.2$ - $2.2$.