ALMA High-Level Data Products: submillimetre counterparts of SDSS quasars in the ALMA footprint

Author:

Wong A12,Hatziminaoglou E1ORCID,Borkar A3,Popping G1ORCID,Pérez-Fournon I45,Poidevin F45,Stoehr F1,Messias H67ORCID

Affiliation:

1. European Southern Observatory , Karl-Schwarzschild-Str 2, D-85748 Garching bei München, Germany

2. Nanyang Technological University , 50 Nanyang Avenue, 639798 Singapore, Singapore

3. Astronomical Institute, Czech Academy of Sciences , Bocní II 1401, CZ-141 00 Prague, Czech Republic

4. Instituto de Astrofísica de Canarias , E-38205 La Laguna, Tenerife, Spain

5. Departamento de Astrofísica, Universidad de La Laguna , E-38206 La Laguna, Tenerife, Spain

6. Joint ALMA Observatory , Alonso de Córdova 3107, Vitacura 763-0355, Santiago, Chile

7. European Southern Observatory , Alonso de Córdova 3107, Vitacura, Casilla 19001, Santiago de Chile, Chile

Abstract

ABSTRACT The Atacama Large Millimetre/submillimetre Array (ALMA) is the world’s most advanced radio interferometric facility, producing science data with an average rate of about 1 TB per day. After a process of calibration, imaging and quality assurance, the scientific data are stored in the ALMA Science Archive (ASA), along with the corresponding raw data, making the ASA an invaluable resource for original astronomical research. Due to their complexity, each ALMA data set has the potential for scientific results that go well beyond the ideas behind the original proposal that led to each observation. For this reason, the European ALMA Regional Centre initiated the High-Level Data Products initiative to develop science-oriented data products derived from data sets publicly available in the ASA, that go beyond the formal ALMA deliverables. The first instance of this initiative is the creation of a catalogue of submillimetre (submm) detections of Sloan Digital Sky Survey (SDSS) quasars from the SDSS Data Release 14 that lie in the aggregate ALMA footprint observed since ALMA Cycle 0. The ALMA fluxes are extracted in an automatic fashion, using the ALMA Data Mining Toolkit. All extractions above a signal-to-noise cut of 3.5 are considered, they have been visually inspected and the reliable detections are presented in a catalogue of 376 entries, corresponding to 275 unique quasars. Interesting targets found in the process, i.e. lensed or jetted quasars as well as quasars with nearby submm counterparts are highlighted, to facilitate further studies or potential follow up observations.

Funder

Czech Science Foundation

AEI

ALMA

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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