Predictions for Ultra-Deep Radio Counts of Star-Forming Galaxies
We have worked out predictions for the radio counts of star-forming galaxies down to nJy levels, along with redshift distributions down to the detection limits of the phase 1 Square Kilometer Array MID telescope (SKA1-MID) and of its precursors. Such predictions were obtained by coupling epoch depen...
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ftdatacite:10.48550/arxiv.1507.08411 2023-05-15T18:23:00+02:00 Predictions for Ultra-Deep Radio Counts of Star-Forming Galaxies Mancuso, Claudia Lapi, Andrea Cai, Zhen-Yi Negrello, Mattia De Zotti, Gianfranco Bressan, Alessandro Bonato, Matteo Perrotta, Francesca Danese, Luigi 2015 https://dx.doi.org/10.48550/arxiv.1507.08411 https://arxiv.org/abs/1507.08411 unknown arXiv https://dx.doi.org/10.1088/0004-637x/810/1/72 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Astrophysics of Galaxies astro-ph.GA FOS Physical sciences article-journal Article ScholarlyArticle Text 2015 ftdatacite https://doi.org/10.48550/arxiv.1507.08411 https://doi.org/10.1088/0004-637x/810/1/72 2022-04-01T12:06:03Z We have worked out predictions for the radio counts of star-forming galaxies down to nJy levels, along with redshift distributions down to the detection limits of the phase 1 Square Kilometer Array MID telescope (SKA1-MID) and of its precursors. Such predictions were obtained by coupling epoch dependent star formation rate (SFR) functions with relations between SFR and radio (synchrotron and free-free) emission. The SFR functions were derived taking into account both the dust obscured and the unobscured star-formation, by combining far-infrared (FIR), ultra-violet (UV) and H_alpha luminosity functions up to high redshifts. We have also revisited the South Pole Telescope (SPT) counts of dusty galaxies at 95\,GHz performing a detailed analysis of the Spectral Energy Distributions (SEDs). Our results show that the deepest SKA1-MID surveys will detect high-z galaxies with SFRs two orders of magnitude lower compared to Herschel surveys. The highest redshift tails of the distributions at the detection limits of planned SKA1-MID surveys comprise a substantial fraction of strongly lensed galaxies. We predict that a survey down to 0.25 microJy at 1.4 GHz will detect about 1200 strongly lensed galaxies per square degree, at redshifts of up to 10. For about 30% of them the SKA1-MID will detect at least 2 images. The SKA1-MID will thus provide a comprehensive view of the star formation history throughout the re-ionization epoch, unaffected by dust extinction. We have also provided specific predictions for the EMU/ASKAP and MIGHTEE/MeerKAT surveys. : 31 pages, 18 figures, 1 table. Accepted by ApJ Text South pole DataCite Metadata Store (German National Library of Science and Technology) South Pole |
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Astrophysics of Galaxies astro-ph.GA FOS Physical sciences |
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Astrophysics of Galaxies astro-ph.GA FOS Physical sciences Mancuso, Claudia Lapi, Andrea Cai, Zhen-Yi Negrello, Mattia De Zotti, Gianfranco Bressan, Alessandro Bonato, Matteo Perrotta, Francesca Danese, Luigi Predictions for Ultra-Deep Radio Counts of Star-Forming Galaxies |
topic_facet |
Astrophysics of Galaxies astro-ph.GA FOS Physical sciences |
description |
We have worked out predictions for the radio counts of star-forming galaxies down to nJy levels, along with redshift distributions down to the detection limits of the phase 1 Square Kilometer Array MID telescope (SKA1-MID) and of its precursors. Such predictions were obtained by coupling epoch dependent star formation rate (SFR) functions with relations between SFR and radio (synchrotron and free-free) emission. The SFR functions were derived taking into account both the dust obscured and the unobscured star-formation, by combining far-infrared (FIR), ultra-violet (UV) and H_alpha luminosity functions up to high redshifts. We have also revisited the South Pole Telescope (SPT) counts of dusty galaxies at 95\,GHz performing a detailed analysis of the Spectral Energy Distributions (SEDs). Our results show that the deepest SKA1-MID surveys will detect high-z galaxies with SFRs two orders of magnitude lower compared to Herschel surveys. The highest redshift tails of the distributions at the detection limits of planned SKA1-MID surveys comprise a substantial fraction of strongly lensed galaxies. We predict that a survey down to 0.25 microJy at 1.4 GHz will detect about 1200 strongly lensed galaxies per square degree, at redshifts of up to 10. For about 30% of them the SKA1-MID will detect at least 2 images. The SKA1-MID will thus provide a comprehensive view of the star formation history throughout the re-ionization epoch, unaffected by dust extinction. We have also provided specific predictions for the EMU/ASKAP and MIGHTEE/MeerKAT surveys. : 31 pages, 18 figures, 1 table. Accepted by ApJ |
format |
Text |
author |
Mancuso, Claudia Lapi, Andrea Cai, Zhen-Yi Negrello, Mattia De Zotti, Gianfranco Bressan, Alessandro Bonato, Matteo Perrotta, Francesca Danese, Luigi |
author_facet |
Mancuso, Claudia Lapi, Andrea Cai, Zhen-Yi Negrello, Mattia De Zotti, Gianfranco Bressan, Alessandro Bonato, Matteo Perrotta, Francesca Danese, Luigi |
author_sort |
Mancuso, Claudia |
title |
Predictions for Ultra-Deep Radio Counts of Star-Forming Galaxies |
title_short |
Predictions for Ultra-Deep Radio Counts of Star-Forming Galaxies |
title_full |
Predictions for Ultra-Deep Radio Counts of Star-Forming Galaxies |
title_fullStr |
Predictions for Ultra-Deep Radio Counts of Star-Forming Galaxies |
title_full_unstemmed |
Predictions for Ultra-Deep Radio Counts of Star-Forming Galaxies |
title_sort |
predictions for ultra-deep radio counts of star-forming galaxies |
publisher |
arXiv |
publishDate |
2015 |
url |
https://dx.doi.org/10.48550/arxiv.1507.08411 https://arxiv.org/abs/1507.08411 |
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South Pole |
geographic_facet |
South Pole |
genre |
South pole |
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South pole |
op_relation |
https://dx.doi.org/10.1088/0004-637x/810/1/72 |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.1507.08411 https://doi.org/10.1088/0004-637x/810/1/72 |
_version_ |
1766202417210195968 |