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Published November 2020 | Accepted Version + Published
Journal Article Open

The ALPINE-ALMA [C II] survey: Data processing, catalogs, and statistical source properties

Abstract

The Atacama Large Millimeter Array (ALMA) Large Program to INvestigate [C II] at Early times (ALPINE) targets the [C II] 158 μm line and the far-infrared continuum in 118 spectroscopically confirmed star-forming galaxies between z = 4.4 and z = 5.9. It represents the first large [C II] statistical sample built in this redshift range. We present details regarding the data processing and the construction of the catalogs. We detected 23 of our targets in the continuum. To derive accurate infrared luminosities and obscured star formation rates (SFRs), we measured the conversion factor from the ALMA 158 μm rest-frame dust continuum luminosity to the total infrared luminosity (L_(IR)) after constraining the dust spectral energy distribution by stacking a photometric sample similar to ALPINE in ancillary single-dish far-infrared data. We found that our continuum detections have a median L_(IR) of 4.4 × 10¹¹ L_⊙. We also detected 57 additional continuum sources in our ALMA pointings. They are at a lower redshift than the ALPINE targets, with a mean photometric redshift of 2.5 ± 0.2. We measured the 850 μm number counts between 0.35 and 3.5 mJy, thus improving the current interferometric constraints in this flux density range. We found a slope break in the number counts around 3 mJy with a shallower slope below this value. More than 40% of the cosmic infrared background is emitted by sources brighter than 0.35 mJy. Finally, we detected the [C II] line in 75 of our targets. Their median [C II] luminosity is 4.8 × 10⁸ L_⊙ and their median full width at half maximum is 252 km s⁻¹. After measuring the mean obscured SFR in various [C II] luminosity bins by stacking ALPINE continuum data, we find a good agreement between our data and the local and predicted SFR–L_([C II]) relations.

Additional Information

© M. Béthermin et al. 2020. Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Received 3 February 2020; Accepted 4 June 2020; Published online 27 October 2020. We thanks the ALMA observatory staff for their support and in particular Edwige Chapillon, our ALMA contact scientist, for her very useful advice. MB acknowledges Mladan Novak for his excellent advice about the photometry in interferometric surveys. This paper makes use of the following ALMA data: ADS/JAO.ALMA#2017.1.00428.L. ALMA is a partnership of ESO (representing its member states), NSF (USA) and NINS (Japan), together with NRC (Canada), MOST and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO and NAOJ. This research made use of Astropy (http://www.astropy.org), a community-developed core Python package for Astronomy (Astropy Collaboration 2013, 2018). This program receives funding from the CNRS national program Cosmology and Galaxies. A.C., C.G., F.L., F.P., and M.T. acknowledge the support from grant PRINMIUR 2017 20173ML3WW_001. DR acknowledges support from the National Science Foundation under grant numbers AST-1614213 and AST-1910107 and from the Alexander von Humboldt Foundation through a Humboldt Research Fellowship for Experienced Researchers. G.C.J. acknowledges ERC Advanced Grant 695671 "QUENCH" and support by the Science and Technology Facilities Council (STFC). E.I. acknowledges partial support from FONDECYT through grant N° 1171710. GL acknowledges support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (project CONCERTO, grant agreement No 788212) and from the Excellence Initiative of Aix-Marseille University-A*Midex, a French "Investissements d'Avenir" programme. This paper is dedicated to the memory of Olivier Le Fèvre, PI of the ALPINE survey.

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Accepted Version - 2002.00962.pdf

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Created:
August 20, 2023
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October 20, 2023