First measurement of angular clustering w(theta) for radio sources at 816 MHz over 800 deg2 yields positive signal and effective bias 1.53-2.0 depending on N(z) prior.
The clustering of radio galaxies: biasing and evolution versus stellar mass
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abstract
We study the angular clustering of $\sim 6\times 10^5$ NVSS sources on scales $\gtrsim 50 h^{-1}$ Mpc in the context of the $\Lambda$CDM scenario. The analysis partially relies on the redshift distribution of 131 radio galaxies, inferred from the Hercules and CENSORS survey, and an empirical fit to the stellar to halo mass (SHM) relation. For redshifts $z\lesssim 0.7$, the fraction of radio activity versus stellar mass evolves as $f_{_{\rm RL}}\sim M_*^{\alpha_0+\alpha_1 z}$ where $\alpha_0=2.529{\pm0.184}$ and $\alpha_1=1.854^{+0.708}_{-0.761}$. The estimate on $\alpha_0$ is largely driven by the results of Best et al. (2005), while the constraint on $\alpha_1$ is new. We derive a biasing factor $b(z=0.5)=2.093^{+0.164}_{-0.109}$ between radio galaxies and the underlying mass.The function $b(z)=0.33z^2+0.85 z +1.6$ fits well the redshift dependence. We also provide convenient parametric forms for the redshift dependent radio luminosity function, which are consistent with the redshift distribution and the NVSS source count versus flux.
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Forecasts angular clustering for a 20,000 sq deg SKAO radio continuum survey reaching O(300-400 million) sources and discusses needed corrections for telescope systematics and population modeling.
citing papers explorer
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Tracing Large-scale Structure with the MeerKLASS On-the-Fly Survey: Angular Clustering of Radio Sources at 816 MHz
First measurement of angular clustering w(theta) for radio sources at 816 MHz over 800 deg2 yields positive signal and effective bias 1.53-2.0 depending on N(z) prior.
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Cosmology from Clustering of Continuum Galaxies
Forecasts angular clustering for a 20,000 sq deg SKAO radio continuum survey reaching O(300-400 million) sources and discusses needed corrections for telescope systematics and population modeling.