A brief review on cosmological analysis of galaxy surveys with multiple tracers

Abstract

Galaxy redshift surveys are one of the key probes in modern cosmology. In the data analysis of galaxy surveys, the precision of the statistical measurement is primarily limited by the cosmic variance on large scales. Fortunately, this limitation can in principle be evaded by observing multiple types of biased tracers. In this brief review, we present the idea of the multi-tracer method, outline key steps in the data analysis, and show several worked examples based on the GAMA, BOSS and eBOSS galaxy surveys.

14 pages, 8 figures. Invited review for Research in Astronomy and Astrophysics (RAA)

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Cited by in corpus (10)

• DESI Bright Galaxy Survey: Final Target Selection, Design, and Validation
• Learning to Concentrate: Multi-tracer Forecasts on Local Primordial Non-Gaussianity with Machine-Learned Bias
• The Effective Field Theory of Large-Scale Structure and Multi-tracer
• The DESI PRObabilistic Value-Added Bright Galaxy Survey (PROVABGS) Mock Challenge
• Constraining primordial non-Gaussianity by combining next-generation galaxy and 21 cm intensity mapping surveys
• 21cmFirstCLASS I. Cosmological tool for $\Lambda$CDM and beyond
• A multitracer analysis for the eBOSS galaxy sample based on the effective field theory of large-scale structure
• Euclid preparation. Improving cosmological constraints using a new multi-tracer method with the spectroscopic and photometric samples
• GalaxyGenius: Mock galaxy image generator for various telescopes from hydrodynamical simulations
• Emulating galaxy and peculiar velocity clustering on non-linear scales