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Status: Bibliographieeintrag

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Verfasst von:Ksoll, Victor F. [VerfasserIn]   i
 Gouliermis, Dimitrios A. [VerfasserIn]   i
 Sabbi, Elena [VerfasserIn]   i
 Ryon, Jenna E. [VerfasserIn]   i
 Robberto, Massimo [VerfasserIn]   i
 Gennaro, Mario [VerfasserIn]   i
 Klessen, Ralf S. [VerfasserIn]   i
 Köthe, Ullrich [VerfasserIn]   i
 De Marchi, Guido [VerfasserIn]   i
 Chen, C.-H. Rosie [VerfasserIn]   i
 Cignoni, Michele [VerfasserIn]   i
 Dolphin, Andrew E. [VerfasserIn]   i
Titel:Measuring young stars in space and time
Titelzusatz: II. the pre-main-sequence stellar content of N44
Verf.angabe:Victor F. Ksoll, Dimitrios Gouliermis, Elena Sabbi, Jenna E. Ryon, Massimo Robberto, Mario Gennaro, Ralf S. Klessen, Ullrich Koethe, Guido de Marchi, C.-H. Rosie Chen, Michele Cignoni, and Andrew E. Dolphin
E-Jahr:2021
Jahr:2021 May 7
Umfang:25 S.
Fussnoten:Gesehen am 15.06.2021
Titel Quelle:Enthalten in: The astronomical journal
Ort Quelle:London : Institute of Physics Publ., 1998
Jahr Quelle:2021
Band/Heft Quelle:161(2021), 6, Artikel-ID 257, Seite 1-25
ISSN Quelle:1538-3881
Abstract:The Hubble Space Telescope survey Measuring Young Stars in Space and Time (MYSST) entails some of the deepest photometric observations of extragalactic star formation, capturing even the lowest-mass stars of the active star-forming complex N44 in the Large Magellanic Cloud. We employ the new MYSST stellar catalog to identify and characterize the content of young pre-main-sequence (PMS) stars across N44 and analyze the PMS clustering structure. To distinguish PMS stars from more evolved line of sight contaminants, a non-trivial task due to several effects that alter photometry, we utilize a machine-learning classification approach. This consists of training a support vector machine (SVM) and a random forest (RF) on a carefully selected subset of the MYSST data and categorize all observed stars as PMS or non-PMS. Combining SVM and RF predictions to retrieve the most robust set of PMS sources, we find ∼26,700 candidates with a PMS probability above 95% across N44. Employing a clustering approach based on a nearest neighbor surface density estimate, we identify 16 prominent PMS structures at 1σ significance above the mean density with sub-clusters persisting up to and beyond 3σ significance. The most active star-forming center, located at the western edge of N44's bubble, is a subcluster with an effective radius of ∼5.6 pc entailing more than 1100 PMS candidates. Furthermore, we confirm that almost all identified clusters coincide with known H ii regions and are close to or harbor massive young O stars or YSOs previously discovered by MUSE and Spitzer observations.
DOI:doi:10.3847/1538-3881/abee8c
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.3847/1538-3881/abee8c
 DOI: https://doi.org/10.3847/1538-3881/abee8c
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1760469157
Verknüpfungen:→ Zeitschrift

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