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Hubble Tarantula Treasury Project: VI. identification of pre-main-sequence stars using machine-learning techniques

ABSTRACT. The Hubble Tarantula Treasury Project (HTTP) has provided an unprecedented photometric coverage of the entire starburst region of 30 Doradus down to

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Bibliographic Details
Main Authors: Ksoll, Victor F. (Author) , Gouliermis, Dimitrios A. (Author) , Klessen, Ralf S. (Author) , Grebel, Eva K. (Author)
Format: Article (Journal)
Language:English
Published: 2018 May 18
In: Monthly notices of the Royal Astronomical Society
Year: 2018, Volume: 479, Issue: 2, Pages: 2389-2414
ISSN:1365-2966
DOI:10.1093/mnras/sty1317
Online Access:Verlag, Volltext: http://dx.doi.org/10.1093/mnras/sty1317
Verlag, Volltext: https://academic.oup.com/mnras/article/479/2/2389/4999924
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Author Notes:Victor F. Ksoll, Dimitrios A. Gouliermis, Ralf S. Klessen, Eva K. Grebel, Elena Sabbi, Jay Anderson, Daniel J. Lennon, Michele Cignoni, Guido de Marchi, Linda J. Smith, Monica Tosi and Roeland P. van der Marel
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Summary:ABSTRACT. The Hubble Tarantula Treasury Project (HTTP) has provided an unprecedented photometric coverage of the entire starburst region of 30 Doradus down to
Item Description:Gesehen am 01.02.2019
Physical Description:Online Resource
ISSN:1365-2966
DOI:10.1093/mnras/sty1317

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