Cosmological Constraints with Clustering-Based Redshifts

Abstract

We demonstrate that observations lacking reliable redshift information, such as photometric and radio continuum surveys, can produce robust measurements of cosmological parameters when empowered by clustering-based redshift estimation. This method infers the redshift distribution based on the spatial clustering of sources, using cross-correlation with a reference dataset with known redshifts. Applying this method to the existing SDSS photometric galaxies, and projecting to future radio continuum surveys, we show that sources can be efficiently divided into several redshift bins, increasing their ability to constrain cosmological parameters. We forecast constraints on the dark-energy equation-of-state and on local non-gaussianity parameters. We explore several pertinent issues, including the tradeoff between including more sources versus minimizing the overlap between bins, the shot-noise limitations on binning, and the predicted performance of the method at high redshifts. Remarkably, we find that, once this technique is implemented, constraints on dynamical dark energy from the SDSS imaging catalog can be competitive with, or better than, those from the spectroscopic BOSS survey and even future planned experiments. Further, constraints on primordial non-Gaussianity from future large-sky radio-continuum surveys can outperform those from the Planck CMB experiment, and rival those from future spectroscopic galaxy surveys. The application of this method thus holds tremendous promise for cosmology.

7 pages, 3 figures, 2 tables; to be submitted to MNRAS

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• The Hunt for Primordial Interactions in the Large Scale Structures of the Universe
• Weak Lensing Tomographic Redshift Distribution Inference for the Hyper Suprime-Cam Subaru Strategic Program three-year shape catalogue
• Gravitational waves $\times$ HI intensity mapping: cosmological and astrophysical applications
• Signatures of primordial black holes in gravitational wave clustering
• Gravitational wave astronomy with radio galaxy surveys
• Characterizing fast radio bursts through statistical cross-correlations
• Using angular two-point correlations to self-calibrate the photometric redshift distributions of DECaLS DR9
• Probing $\Lambda$CDM cosmology with the Evolutionary Map of the Universe survey
• A Composite Likelihood Approach for Inference under Photometric Redshift Uncertainty
• Estimating redshift distributions using Hierarchical Logistic Gaussian processes
• Effects of primordial black holes quantum gravity decay on galaxy clustering
• Testing gravity with gravitational waves $\times$ electromagnetic probes cross-correlations
• Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample
• Measuring the last burst of non-singular black holes
• Future Radio Continuum Cosmology Clustering Surveys
• Constraining $z\lesssim 2$ ultraviolet emission with the upcoming ULTRASAT satellite
• Photometric Redshift Estimation with Convolutional Neural Networks and Galaxy Images: A Case Study of Resolving Biases in Data-Driven Methods