Tracing High Redshift Starformation in the Current and Next Generation of Radio Surveys
Nick Seymour (1) ((1) Mullard Space Science Laboratory, UCL)

TL;DR
This paper reviews methods to distinguish star formation from active galactic nuclei in deep radio surveys and discusses implications for understanding high-redshift star formation history.
Contribution
It proposes radio-based diagnostics for separating AGN and star formation in faint radio sources and analyzes their effectiveness in current and future surveys.
Findings
Deep radio surveys reveal a high fraction of star-forming galaxies at high redshift.
The IR-radio relation generally holds at z>1 but shows mild deviations depending on IR wavebands.
Star-forming galaxies, especially LIRGs and ULIRGs, dominate the star formation budget from z=1 to 3.
Abstract
The current deepest radio surveys detect hundreds of sources per square degree below 0.1mJy. There is a growing consensus that a large fraction of these sources are dominated by star formation although the exact proportion has been debated in the literature. However, the low luminosity of these galaxies at most other wavelengths makes determining the nature of individual sources difficult. If future, deeper surveys performed with the next generation of radio instrumentation are to reap high scientific reward we need to develop reliable methods of distinguishing between radio emission powered by active galactic nuclei (AGN) and that powered by star formation. In particular, we believe that such discriminations should be based on purely radio, or relative to radio, diagnostics. These diagnostics include radio morphology, radio spectral index, polarisation, variability, radio luminosity…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · Geophysics and Gravity Measurements · GNSS positioning and interference
