2017
DOI: 10.1051/0004-6361/201629436
|View full text |Cite
|
Sign up to set email alerts
|

The VLA-COSMOS 3 GHz Large Project: Cosmic star formation history sincez~ 5

Abstract: We make use of the deep Karl G. Jansky Very Large Array (VLA) COSMOS radio observations at 3 GHz to infer radio luminosity functions of star-forming galaxies up to redshifts of z ∼ 5 based on approximately 6 000 detections with reliable optical counterparts. This is currently the largest radio-selected sample available out to z ∼ 5 across an area of 2 square degrees with a sensitivity of rms ≈ 2.3 µJy beam −1 . By fixing the faint and bright end shape of the radio luminosity function to the local values, we fi… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

56
254
1

Year Published

2017
2017
2024
2024

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 165 publications
(327 citation statements)
references
References 98 publications
56
254
1
Order By: Relevance
“…The UV data considerably underestimate the SFR function for SFRsṀ ⋆ 30 M ⊙ yr −1 , because of strong dust extinction. Interestingly, the shape of the SFR function foṙ M ⋆ 10 2 M ⊙ yr −1 , which so far has been probed only indirectly at z 4 due to sensitivity limits in current wide-areas far-IR surveys, is found to agree out to z 6 with the constraints from the recent VLA-COSMOS radio survey (Novak et al 2017) and from the few individual galaxies detected at z 5 with ALMA and SMA (e.g., Riechers et al 2017;Zavala et al 2017). We shall demonstrate via the continuity equation that a robust probe on the bright end of the SFR function at highredshift z 4 is provided by the galaxy stellar mass function.…”
Section: Sfr Functions and Cosmic Sfr Densitymentioning
confidence: 80%
See 2 more Smart Citations
“…The UV data considerably underestimate the SFR function for SFRsṀ ⋆ 30 M ⊙ yr −1 , because of strong dust extinction. Interestingly, the shape of the SFR function foṙ M ⋆ 10 2 M ⊙ yr −1 , which so far has been probed only indirectly at z 4 due to sensitivity limits in current wide-areas far-IR surveys, is found to agree out to z 6 with the constraints from the recent VLA-COSMOS radio survey (Novak et al 2017) and from the few individual galaxies detected at z 5 with ALMA and SMA (e.g., Riechers et al 2017;Zavala et al 2017). We shall demonstrate via the continuity equation that a robust probe on the bright end of the SFR function at highredshift z 4 is provided by the galaxy stellar mass function.…”
Section: Sfr Functions and Cosmic Sfr Densitymentioning
confidence: 80%
“…Solid lines refer to the rendition from UV plus far-IR/sub-mm/radio data; dotted lines (only plotted at z ≈ 0 and 1) refer to the rendition from UV data (dust corrected according to standard prescriptions based on the UV slope). UV data (open symbols) are from van der Burg et al (2010;diamonds), Bouwens et al (2016Bouwens et al ( , 2017pentagons), inverse triangles), Cucciati et al (2012;triangles), Wyder et al (2005;spirals), Oesch et al (2010;crosses), Alavi et al (2016;asterisks); far-IR/sub-mm data from Gruppioni et al (2015;hexagons), Magnelli et al (2013;circles), Gruppioni et al (2013;squares), Lapi et al (2011;stars), and Cooray et al (2014;pacmans); radio data from Novak et al (2017;clovers). extinction law, but note that switching to a Small Magellanic Cloud (SMC) extinction law affects mildly the SFR function at the faint end (see also Sect.…”
Section: Sfr Functions and Cosmic Sfr Densitymentioning
confidence: 99%
See 1 more Smart Citation
“…The usually observed spread in spectral indices is σ ≈ 0.35 (e.g., Smolčić et al 2017a) and the uncertainty of the spectral index can induce significant errors in the derived radio luminosity for a single object. However, on a statistical basis the symmetry of the spread is expected to cancel out the variations yielding a valid average luminosity for the given population (see also Novak et al 2017;Delhaize et al 2017;Smolčić et al 2017b, for more specific discussions on this).…”
Section: Radio Datamentioning
confidence: 99%
“…Source counts at 1.4 GHz depend on the steepness of the counts at 3 GHz and the spread of the spectral indices. We leave the analysis of the potential bias in source counts due to this effect to an upcoming paper (Novak et al 2017).…”
mentioning
confidence: 99%