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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| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2018 May 18
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| In: |
Monthly notices of the Royal Astronomical Society
Year: 2018, Jahrgang: 479, Heft: 2, Pages: 2389-2414 |
| ISSN: | 1365-2966 |
| DOI: | 10.1093/mnras/sty1317 |
| Online-Zugang: | 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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| Verfasserangaben: | 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 |
| Zusammenfassung: | 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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| Beschreibung: | Gesehen am 01.02.2019 |
| Beschreibung: | Online Resource |
| ISSN: | 1365-2966 |
| DOI: | 10.1093/mnras/sty1317 |