TY - JOUR
T1 - Categorising the sub-mJy population
T2 - 2007 From Planets to Dark Energy: The Modern Radio Universe, MRU 2007
AU - Dwelly, Tom
AU - Seymour, Nick
AU - McHardy, Ian
AU - Moss, Derek
AU - Zhogbi, Abdu
AU - Page, Mathew
AU - Hopkins, Andrew
AU - Rieke, George
AU - Loaring, Nicola
N1 - Publisher Copyright:
Copyright © owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike Licence.
PY - 2007
Y1 - 2007
N2 - 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 descibe 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.
AB - 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 descibe 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.
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M3 - Conference article
AN - SCOPUS:85055472892
SN - 1824-8039
VL - 52
JO - Proceedings of Science
JF - Proceedings of Science
Y2 - 1 October 2007 through 5 October 2007
ER -