Categorising the sub-mJy population: Star-forming galaxies from deep radio surveys
Abstract
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.
Additional Information
Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-ShareAlike.Attached Files
Published - MRU_051.pdf
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MRU_051.pdf
Additional details
Additional titles
- Alternative title
- Measuring the cosmic star-formation rate using deep radio studies
Identifiers
- Eprint ID
- 89223
- Resolver ID
- CaltechAUTHORS:20180828-122924033
Dates
- Created
-
2018-08-28Created from EPrint's datestamp field
- Updated
-
2021-11-16Created from EPrint's last_modified field
Caltech Custom Metadata
- Caltech groups
- Infrared Processing and Analysis Center (IPAC)
- Series Name
- Proceedings of Science
- Series Volume or Issue Number
- 52