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Future radio continuum cosmology clustering surveys

Asorey & Parkinson (2021)

Jacobo Asorey #1 Lead David Parkinson #2 Corresponding
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY IF 5.357 A 등급 International collaboration
HPC(High-Performance Clusters)

Abstract

The use of continuum emission radio galaxies as cosmological tracers of the large-scale structure will soon move into a new phase. Upcoming surveys from the Australian Square Kilometre Array Pathfinder (ASKAP), MeerKAT, and the Square Kilometre Array project (SKA) will survey the entire available sky down to an ∼100μJy flux limit, increasing the number of detected extra-galactic radio sources by several orders of magnitude. External data and machine learning algorithms will also enable some low-resolution radial selection (photometric redshift binning) of the sample, increasing the cosmological utility of the sample observed. In this paper, we discuss the flux limit required to detect enough galaxies to decrease the shot-noise term in the error to be 10 per-cent of the total. We show how future surveys of this type will be limited by available technology. The confusion generated by the intrinsic sizes of galaxies may have the consequence that surveys of this type eventually reach a hard flux limit of ∼100-nJy, as is predicted by the current modelling of AGN sizes by simulations such as the Tiered Radio Extragalactic Continuum Simulation (T-RECS). Finally, when considering the multitracer approach, where galaxies are split by type to measure some bias ratio, we find that there are not enough AGN present to achieve a reasonable level of shot noise for this kind of measurement.

AI Classification

Maturity Tier

Tier 1 — Classical ML

AI Role

classification / clustering

supporting

Techniques

classical-ML

Tasks

classification

Subfield

cosmology

tabular-catalog

Flags

Develops AI method
· Classification confidence: 90%