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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Main Authors: Mancuso, Claudia, Lapi, Andrea, Cai, Zhen-Yi, Negrello, Mattia, De Zotti, Gianfranco, Bressan, Alessandro, Bonato, Matteo, Perrotta, Francesca, Danese, Luigi
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Published: arXiv 2015
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Online Access:https://dx.doi.org/10.48550/arxiv.1507.08411
https://arxiv.org/abs/1507.08411
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spelling 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
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Astrophysics of Galaxies astro-ph.GA
FOS Physical sciences
spellingShingle 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
geographic South Pole
geographic_facet South Pole
genre South pole
genre_facet 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
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