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Automated Mining of the ALMA Archive in the COSMOS Field (A³COSMOS). I. Robust ALMA Continuum Photometry Catalogs and Stellar Mass and Star Formation Properties for ∼700 Galaxies at z = 0.5–6

Liu, Daizhong and Lang, P. and Magnelli, B. and Schinnerer, E. and Leslie, S. and Fudamoto, Y. and Bondi, M. and Groves, B. and Jiménez-Andrade, E. and Harrington, K. and Karim, A. and Oesch, P. A. and Sargent, M. and Vardoulaki, E. and Bǎdescu, T. and Moser, L. and Bertoldi, F. and Battisti, A. and da Cunha, E. and Zavala, J. and Vaccari, M. and Davidzon, I. and Riechers, D. and Aravena, M. (2019) Automated Mining of the ALMA Archive in the COSMOS Field (A³COSMOS). I. Robust ALMA Continuum Photometry Catalogs and Stellar Mass and Star Formation Properties for ∼700 Galaxies at z = 0.5–6. Astrophysical Journal Supplement Series, 244 (2). Art. No. 40. ISSN 1538-4365. https://resolver.caltech.edu/CaltechAUTHORS:20191016-144502817

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Abstract

The rich information on (sub)millimeter dust continuum emission from distant galaxies in the public Atacama Large Millimeter/submillimeter Array (ALMA) archive is contained in thousands of inhomogeneous observations from individual PI-led programs. To increase the usability of these data for studies deepening our understanding of galaxy evolution, we have developed automated mining pipelines for the ALMA archive in the COSMOS field (A³COSMOS) that efficiently exploit the available information for large numbers of galaxies across cosmic time and keep the data products in sync with the increasing public ALMA archive: (a) a dedicated ALMA continuum imaging pipeline, (b) two complementary photometry pipelines for both blind source extraction and prior source fitting, (c) a counterpart association pipeline utilizing the multiwavelength data available (including quality assessment based on machine-learning techniques), (d) an assessment of potential (sub)millimeter line contribution to the measured ALMA continuum, and (e) extensive simulations to provide statistical corrections to biases and uncertainties in the ALMA continuum measurements. Application of these tools yields photometry catalogs with ~1000 (sub)millimeter detections (spurious fraction ~8%–12%) from over 1500 individual ALMA continuum images. Combined with ancillary photometric and redshift catalogs and the above quality assessments, we provide robust information on redshift, stellar mass, and star formation rate for ~700 galaxies at redshifts 0.5–6 in the COSMOS field (with undetermined selection function). The ALMA photometric measurements and galaxy properties are released publicly within our blind extraction, prior fitting, and galaxy property catalogs, plus the images. These products will be updated on a regular basis in the future.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.3847/1538-4365/ab42daDOIArticle
ORCID:
AuthorORCID
Liu, Daizhong0000-0001-9773-7479
Lang, P.0000-0002-5681-3575
Magnelli, B.0000-0002-6777-6490
Schinnerer, E.0000-0002-3933-7677
Groves, B.0000-0002-9768-0246
Jiménez-Andrade, E.0000-0002-2640-5917
Karim, A.0000-0002-8414-9579
Oesch, P. A.0000-0001-5851-6649
Sargent, M.0000-0003-1033-9684
Vardoulaki, E.0000-0002-4437-1773
Bertoldi, F.0000-0002-1707-1775
Battisti, A.0000-0003-4569-2285
da Cunha, E.0000-0001-9759-4797
Zavala, J.0000-0002-7051-1100
Vaccari, M.0000-0002-6748-0577
Davidzon, I.0000-0002-2951-7519
Riechers, D.0000-0001-9585-1462
Aravena, M.0000-0002-6290-3198
Additional Information:© 2019 The American Astronomical Society. Received 2019 February 21; revised 2019 July 25; accepted 2019 August 5; published 2019 October 16. D.L., P.L., and E.S. acknowledge support and funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 694343). S.L. acknowledges funding from Deutsche Forschungsgemeinschaft (DFG) grant SCH 536/9-1. B.G. acknowledges the support of the Australian Research Council as the recipient of a Future Fellowship (FT140101202). Part of this research was carried out within the Collaborative Research Centre 956, subproject A1, funded by the Deutsche Forschungsgemeinschaft (DFG)—project ID 184018867. We thank Annalisa Pillepich and the Max Planck Computing & Data Facility for very helpful computing cluster resources. This paper makes use of the following ALMA data: ADS/JAO.ALMA#2011.0.00064.S, ADS/JAO.ALMA#2011.0.00097.S, ADS/JAO.ALMA#2011.0.00539.S, ADS/JAO.ALMA#2011.0.00742.S, ADS/JAO.ALMA#2012.1.00076.S, ADS/JAO.ALMA#2012.1.00323.S, ADS/JAO.ALMA#2012.1.00523.S, ADS/JAO.ALMA#2012.1.00536.S, ADS/JAO.ALMA#2012.1.00919.S, ADS/JAO.ALMA#2012.1.00952.S, ADS/JAO.ALMA#2012.1.00978.S, ADS/JAO.ALMA#2013.1.00034.S, ADS/JAO.ALMA#2013.1.00092.S, ADS/JAO.ALMA#2013.1.00118.S, ADS/JAO.ALMA#2013.1.00151.S, ADS/JAO.ALMA#2013.1.00171.S, ADS/JAO.ALMA#2013.1.00208.S, ADS/JAO.ALMA#2013.1.00276.S, ADS/JAO.ALMA#2013.1.00668.S, ADS/JAO.ALMA#2013.1.00815.S, ADS/JAO.ALMA#2013.1.00884.S, ADS/JAO.ALMA#2013.1.00914.S, ADS/JAO.ALMA#2013.1.01258.S, ADS/JAO.ALMA#2013.1.01292.S, ADS/JAO.ALMA#2015.1.00026.S, ADS/JAO.ALMA#2015.1.00055.S, ADS/JAO.ALMA#2015.1.00122.S, ADS/JAO.ALMA#2015.1.00137.S, ADS/JAO.ALMA#2015.1.00260.S, ADS/JAO.ALMA#2015.1.00299.S, ADS/JAO.ALMA#2015.1.00379.S, ADS/JAO.ALMA#2015.1.00388.S, ADS/JAO.ALMA#2015.1.00540.S, ADS/JAO.ALMA#2015.1.00568.S, ADS/JAO.ALMA#2015.1.00664.S, ADS/JAO.ALMA#2015.1.00704.S, ADS/JAO.ALMA#2015.1.00853.S, ADS/JAO.ALMA#2015.1.00861.S, ADS/JAO.ALMA#2015.1.00862.S, ADS/JAO.ALMA#2015.1.00928.S, ADS/JAO.ALMA#2015.1.01074.S, ADS/JAO.ALMA#2015.1.01105.S, ADS/JAO.ALMA#2015.1.01111.S, ADS/JAO.ALMA#2015.1.01171.S, ADS/JAO.ALMA#2015.1.01212.S, ADS/JAO.ALMA#2015.1.01495.S, ADS/JAO.ALMA#2015.1.01590.S, ADS/JAO.ALMA#2015.A.00026.S, ADS/JAO.ALMA#2016.1.00478.S, ADS/JAO.ALMA#2016.1.00624.S, ADS/JAO.ALMA#2016.1.00735.S. 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. Facility: ALMA. -
Group:Infrared Processing and Analysis Center (IPAC), COSMOS
Funders:
Funding AgencyGrant Number
European Research Council (ERC)694343
Deutsche Forschungsgemeinschaft (DFG)SCH 536/9-1
Australian Research CouncilFT140101202
Deutsche Forschungsgemeinschaft (DFG)184018867
Subject Keywords:galaxies: evolution – galaxies: ISM – galaxies: photometry – galaxies: star formation – submillimeter: galaxies – techniques: photometric
Issue or Number:2
Record Number:CaltechAUTHORS:20191016-144502817
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20191016-144502817
Official Citation:Daizhong Liu et al 2019 ApJS 244 40
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99308
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:17 Oct 2019 02:35
Last Modified:22 Oct 2019 21:18

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