Automated Mining of the ALMA Archive in the COSMOS Field (A(3)COSMOS). I. Robust ALMA Continuum Photometry Catalogs and Stellar Mass and Star Formation Properties for similar to 700 Galaxies at z=0.5-6

dc.contributor.authorLiu, D Z
dc.contributor.authorLang, Philipp
dc.contributor.authorMagnelli, B
dc.contributor.authorSchinnerer, E.
dc.contributor.authorLeslie, S K
dc.contributor.authorFudamoto, Yoshinobu
dc.contributor.authorBondi, Marco
dc.contributor.authorGroves, Brent Allan
dc.contributor.authorJim-nez-Andrade, E.
dc.contributor.authorHarrington, K.
dc.contributor.authorKarim, A
dc.contributor.authorda Cunha, Elisabete
dc.date.accessioned2022-03-24T22:19:04Z
dc.date.issued2019
dc.date.updated2020-12-20T07:38:25Z
dc.description.abstractThe 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.en_AU
dc.description.sponsorshipD.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. 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 resourcesen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0067-0049en_AU
dc.identifier.urihttp://hdl.handle.net/1885/262599
dc.language.isoen_AUen_AU
dc.publisherInstitute of Physics Publishingen_AU
dc.relationhttp://purl.org/au-research/grants/arc/FT140101202en_AU
dc.rights© 2019en_AU
dc.sourceAstrophysical Journal Supplement Seriesen_AU
dc.subjectgalaxies: evolutionen_AU
dc.subjectgalaxies: ISMen_AU
dc.subjectgalaxies: photometryen_AU
dc.subjectgalaxies: star formationen_AU
dc.subjectsubmillimeter: galaxiesen_AU
dc.subjecttechniques: photometricen_AU
dc.titleAutomated Mining of the ALMA Archive in the COSMOS Field (A(3)COSMOS). I. Robust ALMA Continuum Photometry Catalogs and Stellar Mass and Star Formation Properties for similar to 700 Galaxies at z=0.5-6en_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue40en_AU
local.bibliographicCitation.lastpage42en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationLiu, D Z, Max Planck Institute for Astronomyen_AU
local.contributor.affiliationLang, Philipp, Max Planck Institute for Astronomyen_AU
local.contributor.affiliationMagnelli, B, Argelander Institute for Astronomyen_AU
local.contributor.affiliationSchinnerer, E., Max Planck Institut fur Astronomieen_AU
local.contributor.affiliationLeslie, S K, Max-Planck-Institut fur Astronomieen_AU
local.contributor.affiliationFudamoto, Yoshinobu, Observatoire de Geneveen_AU
local.contributor.affiliationBondi, Marco, INAFen_AU
local.contributor.affiliationGroves, Brent Allan, College of Science, ANUen_AU
local.contributor.affiliationJimnez-Andrade, E., Universitat Bonnen_AU
local.contributor.affiliationHarrington, K., Universitat Bonnen_AU
local.contributor.affiliationKarim, A, Argelander Institute for Astronomyen_AU
local.contributor.affiliationLima da Cunha, Elisabete, College of Science, ANUen_AU
local.contributor.authoruidGroves, Brent Allan, u9816125en_AU
local.contributor.authoruidLima da Cunha, Elisabete, u6091514en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor080106 - Image Processingen_AU
local.identifier.absfor080109 - Pattern Recognition and Data Miningen_AU
local.identifier.absfor020103 - Cosmology and Extragalactic Astronomyen_AU
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciencesen_AU
local.identifier.absseo970102 - Expanding Knowledge in the Physical Sciencesen_AU
local.identifier.ariespublicationu5786633xPUB1619en_AU
local.identifier.citationvolume244en_AU
local.identifier.doi10.3847/1538-4365/ab42daen_AU
local.identifier.thomsonIDWOS:000502057800014
local.publisher.urlhttps://iopscience.iop.org/en_AU
local.type.statusPublished Versionen_AU

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