Membership Analysis and 3D Kinematics of the Star-forming Complex around Trumpler 37 Using Gaia-DR3

Prakash, Prem (2023) Membership Analysis and 3D Kinematics of the Star-forming Complex around Trumpler 37 Using Gaia-DR3. Astrophysical Journal, 948 (1). p. 7. ISSN 0004-637X

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Abstract

Identifying and characterizing young populations of star-forming regions are crucial to unraveling their properties. In this regard, Gaia-DR3 data and machine-learning tools are very useful for studying large star-forming complexes. In this work, we analyze the ∼7.1 deg2 area of one of our Galaxy’s dominant feedback-driven star-forming complexes, i.e., the region around Trumpler 37. Using the Gaussian mixture and random-forest classifier methods, we identify 1243 highly probable members in the complex, of which ∼60% are new members and are complete down to the mass limit of ∼0.1-0.2 M ⊙. The spatial distribution of the stars reveals multiple clusters toward the complex, where the central cluster around the massive star HD 206267 reveals two subclusters. Of the 1243 stars, 152 have radial velocity, with a mean value of −16.41 ± 0.72 km s−1. We investigate stars’ internal and relative movement within the central cluster. The kinematic analysis shows that the cluster’s expansion is relatively slow compared to the whole complex. This slow expansion is possibly due to newly formed young stars within the cluster. We discuss these results in the context of hierarchical collapse and feedback-induced collapse mode of star formation in the complex.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Article
Uncontrolled Keywords: Galaxy’s dominant; feedback-driven star-forming; Gaussian mixture; random-forest classifier methods; spatial distribution; hierarchical collapse; feedback-induced collapse mode
Subjects: Physics
Physics > Astronomy Astrophysics
Divisions: Department of Physics
Depositing User: Mr Nigam Prasad Bisoyi
Date Deposited: 28 Sep 2023 12:05
Last Modified: 28 Sep 2023 12:05
URI: http://raiith.iith.ac.in/id/eprint/11714
Publisher URL: https://doi.org/10.3847/1538-4357/acbf54
OA policy: https://www.sherpa.ac.uk/id/publication/6401
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