Developing a unified pipeline for large-scale structure data analysis with angular power spectra -- III. Implementing the multi-tracer technique to constrain neutrino masses

TL;DR

This paper advances large-scale structure data analysis by applying the multi-tracer technique to angular power spectra using a likelihood approach, improving neutrino mass constraints and providing a modular, publicly available code for cosmological parameter estimation.

Contribution

It introduces a likelihood-based multi-tracer analysis method for angular power spectra and releases an enhanced CosmoSIS code for cosmological parameter estimation.

Findings

44% improvement on neutrino mass upper bounds with multiple tracers

Demonstrated the method on luminous red galaxies and emission line galaxies

Enhanced parameter constraints compared to single-tracer analyses

Abstract

In this paper, we apply the multi-tracer technique to harmonic-space (i.e.\ angular) power spectra with a likelihood-based approach. This goes beyond the usual Fisher matrix formalism hitherto implemented in forecasts with angular statistics, opening up a window for future developments and direct application to available data sets. We also release a fully-operational modified version of the publicly available code CosmoSIS, where we consistently include all the add-ons presented in the previous papers of this series. The result is a modular cosmological parameter estimation suite for angular power spectra of galaxy number counts, allowing for single and multiple tracers, and including density fluctuations, redshift-space distortions, and weak lensing magnification. We demonstrate the improvement on parameter constraints enabled by the use of multiple tracers on a multi-tracing analysis of luminous red galaxies and emission line galaxies. We obtain an enhancement of $44\%$ on the $2\sigma$ upper bound on the sum of neutrino masses. Our code is publicly available at https://github.com/ktanidis/Modified_CosmoSIS_for_galaxy_number_count_angular_power_spectra.