Painting a full radio sky -- Empirical mock catalogues with multiple source populations for future radio surveys
Tommaso Ronconi, Anna Bonaldi, Marta Spinelli, Ivano Baronchelli, Meriem Behiri, Matteo Calabrese, Carmelita Carbone, Marika Giulietti, Andrea Lapi, Marcella Massardi

TL;DR
This paper introduces a comprehensive, empirically-based simulation framework for creating realistic full-sky radio source catalogues, supporting future surveys and cosmological analyses.
Contribution
It presents a modular algorithm for generating self-consistent, multi-population radio sky mock catalogues covering the entire sky up to redshift 5, including new publicly available datasets.
Findings
Mock catalogues reproduce observed clustering statistics.
Catalogues include over 260 million sources (shallow) and 1 billion (deep).
Framework is validated against real data.
Abstract
Upcoming radio surveys will probe the sky with unprecedented depth and sky coverage, enabling a broad range of cosmological and astrophysical applications, as well as powerful synergies with experiments at other wavelengths. The preparation and scientific exploitation of these surveys require realistic mock catalogues that capture the complexity of the radio sky and the interplay of its emitting components. We present a modular and extensible algorithm for generating empirical simulations over the full radio sky, i.e. a solid angle of steradians (), down to redshift , comprising both radio continuum and line emission. The framework combines a simulated dark-matter light-cone with empirically sampled galaxy populations and a probabilistic galaxy-halo assignment scheme, producing self-consistent mock catalogues including multiple radio populations on the same…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Radio Astronomy Observations and Technology · Astronomy and Astrophysical Research
