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Categorising the sub-mJy population: Star-forming galaxies from deep radio surveys

Dwelly, Tom and Seymour, Nick and McHardy, Ian and Moss, Derek and Zhogbi, Abdu and Page, Mathew and Hopkins, Andrew and Rieke, George and Loaring, Nicola (2007) Categorising the sub-mJy population: Star-forming galaxies from deep radio surveys. In: From Planets to Dark Energy: the Modern Radio Universe. Proceedings of Science. No.52. SISSA , Trieste, Italy, Art. No. 051.

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Models predict that starforming galaxies make up the majority of the source population detected in the very deepest radio surveys. Radio selected samples of starforming galaxies are therefore a potentially excellent method to chart e.g. the cosmic history of star-formation. However, a significant minority of the faintest radio sources are AGN powered ‘contaminants’, and must be removed from any solely star-formation powered sample. Here we describe a multi-pronged method for spearating star-forming and AGN powered sources in a deep 1.4 GHz radio survey. We utilise a wealth of multi-wavelength information, including radio spectral and morphological information and radio to mid-IR SED modelling, to select a clean sample of star-formation powered sources. We then derive the 1.4 GHz source counts separately for AGN and SFGs, calculate an independent measure of the evolving star-formation rate density to z∼2, and compare our results to the star-formation rate density determined at other wavelengths.

Item Type:Book Section
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URLURL TypeDescription
Seymour, Nick0000-0003-3506-5536
Page, Mathew0000-0002-6689-6271
Hopkins, Andrew0000-0002-6097-2747
Rieke, George0000-0003-2303-6519
Alternate Title:Measuring the cosmic star-formation rate using deep radio studies
Additional Information:Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-ShareAlike.
Group:Infrared Processing and Analysis Center (IPAC)
Series Name:Proceedings of Science
Issue or Number:52
Record Number:CaltechAUTHORS:20180828-122924033
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:89223
Deposited By: George Porter
Deposited On:28 Aug 2018 20:01
Last Modified:16 Nov 2021 00:33

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