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dc.contributor.authorMeingast, Stefan
dc.contributor.authorAlves, João
dc.contributor.authorBouy, Hervé
dc.contributor.authorPetr-Gotzens, Monika G.
dc.contributor.authorFürnkranz, Verena
dc.contributor.authorGroßschedl, Josefa E.
dc.contributor.authorHernandez, David
dc.contributor.authorRottensteiner, Alena
dc.contributor.authorArnaboldi, Magda
dc.contributor.authorAscenso, Joana
dc.contributor.authorBayo, Amelia
dc.contributor.authorBrändli, Erik
dc.contributor.authorBrown, Anthony G. A.
dc.contributor.authorForbrich, Jan
dc.contributor.authorGoodman, Alyssa
dc.contributor.authorHacar, Alvaro
dc.contributor.authorHasenberger, Birgit
dc.contributor.authorKöhler, Rainer
dc.contributor.authorKubiak, Karolina
dc.contributor.authorKuhn, Michael
dc.contributor.authorLada, Charles
dc.contributor.authorLeschinski, Kieran
dc.contributor.authorLombardi, Marco
dc.contributor.authorMardones, Diego
dc.contributor.authorMascetti, Laura
dc.contributor.authorMiret-Roig, Núria
dc.contributor.authorMoitinho, André
dc.contributor.authorMužic, Koraljka
dc.contributor.authorPiecka, Martin
dc.contributor.authorPosch, Laura
dc.contributor.authorPrusti, Timo
dc.contributor.authorRamírez, Karla Peña
dc.contributor.authorRamlau, Ronny
dc.contributor.authorRatzenböck, Sebastian
dc.contributor.authorSacco, Germano
dc.contributor.authorSwiggum, Cameren
dc.contributor.authorTeixeira, Paula Stella
dc.contributor.authorUrban, Vanessa
dc.contributor.authorZari, Eleonora
dc.contributor.authorZucker, Catherine
dc.date.accessioned2023-05-31T14:15:01Z
dc.date.available2023-05-31T14:15:01Z
dc.date.issued2023-05-31
dc.identifier.citationMeingast , S , Alves , J , Bouy , H , Petr-Gotzens , M G , Fürnkranz , V , Großschedl , J E , Hernandez , D , Rottensteiner , A , Arnaboldi , M , Ascenso , J , Bayo , A , Brändli , E , Brown , A G A , Forbrich , J , Goodman , A , Hacar , A , Hasenberger , B , Köhler , R , Kubiak , K , Kuhn , M , Lada , C , Leschinski , K , Lombardi , M , Mardones , D , Mascetti , L , Miret-Roig , N , Moitinho , A , Mužic , K , Piecka , M , Posch , L , Prusti , T , Ramírez , K P , Ramlau , R , Ratzenböck , S , Sacco , G , Swiggum , C , Teixeira , P S , Urban , V , Zari , E & Zucker , C 2023 , ' VISIONS: The VISTA Star Formation Atlas ' , Astronomy & Astrophysics , vol. 673 , A58 , pp. 1-14 . https://doi.org/10.1051/0004-6361/202245771
dc.identifier.issn0004-6361
dc.identifier.otherArXiv: http://arxiv.org/abs/2303.08831v1
dc.identifier.otherORCID: /0000-0001-8694-4966/work/136238963
dc.identifier.otherORCID: /0000-0002-0631-7514/work/136239171
dc.identifier.urihttp://hdl.handle.net/2299/26375
dc.description© The Authors 2023. Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0
dc.description.abstractVISIONS is an ESO public survey of five nearby (d < 500 pc) star-forming molecular cloud complexes that are canonically associated with the constellations of Chamaeleon, Corona Australis, Lupus, Ophiuchus, and Orion. The survey was carried out with the Visible and Infrared Survey Telescope for Astronomy (VISTA), using the VISTA Infrared Camera (VIRCAM), and collected data in the near-infrared passbands J (1.25 μm), H (1.65 μm), and KS (2.15 μm). With a total on-sky exposure time of 49.4h VISIONS covers an area of 650 deg2, it is designed to build an infrared legacy archive with a structure and content similar to the Two Micron All Sky Survey (2MASS) for the screened star-forming regions. Taking place between April 2017 and March 2022, the observations yielded approximately 1.15 million images, which comprise 19 TB of raw data. The observations undertaken within the survey are grouped into three different subsurveys. First, the wide subsurvey comprises shallow, large-scale observations and it has revisited the star-forming complexes six times over the course of its execution. Second, the deep subsurvey of dedicated high-sensitivity observations has collected data on areas with the largest amounts of dust extinction. Third, the control subsurvey includes observations of areas of low-to-negligible dust extinction. Using this strategy, the VISIONS observation program offers multi-epoch position measurements, with the ability to access deeply embedded objects, and it provides a baseline for statistical comparisons and sample completeness - all at the same time. In particular, VISIONS is designed to measure the proper motions of point sources, with a precision of 1 mas yr-1 or better, when complemented with data from the VISTA Hemisphere Survey (VHS). In this way, VISIONS can provide proper motions of complete ensembles of embedded and low-mass objects, including sources inaccessible to the optical ESA Gaia mission. VISIONS will enable the community to address a variety of research topics from a more informed perspective, including the 3D distribution and motion of embedded stars and the nearby interstellar medium, the identification and characterization of young stellar objects, the formation and evolution of embedded stellar clusters and their initial mass function, as well as the characteristics of interstellar dust and the reddening law.en
dc.format.extent14
dc.format.extent21476233
dc.language.isoeng
dc.relation.ispartofAstronomy & Astrophysics
dc.subjectastro-ph.GA
dc.subjectSurveys
dc.subjectStars: pre-main sequence
dc.subjectStars: kinematics and dynamics
dc.subjectStars: formation
dc.subjectISM: clouds
dc.subjectAstronomy and Astrophysics
dc.subjectSpace and Planetary Science
dc.titleVISIONS: The VISTA Star Formation Atlasen
dc.contributor.institutionCentre for Astrophysics Research (CAR)
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Physics, Astronomy and Mathematics
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85160415560&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1051/0004-6361/202245771
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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