Issue |
A&A
Volume 662, June 2022
|
|
---|---|---|
Article Number | A31 | |
Number of page(s) | 15 | |
Section | Galactic structure, stellar clusters and populations | |
DOI | https://doi.org/10.1051/0004-6361/202142582 | |
Published online | 06 June 2022 |
Hidden power of near-infrared data for the study of young clusters: Illustrative case of RCW 38
1
Departamento de Engenharia Física, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
e-mail: jascenso@fe.up.pt
2
CENTRA, Instituto Superior Tecnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal
Received:
21
October
2021
Accepted:
27
January
2022
Studies of star formation rely heavily on observations in the near-infrared, but they typically need information from other wavelengths for interpretation. We show that we can infer distances and estimate the membership of young stellar objects for young clusters independently using (ground-based) near-infrared, J, H, and KS broadband data alone. We also show that we can estimate a lower limit for the fraction of sources with 2.2 μm excess emission with a sensitivity comparable to that of mid-infrared space data, but with better resolution and fewer biases. Finally, we show that the typical methods for inferring masses from these data may produce substantially unreliable results. This method is applied to the young, massive cluster RCW 38, for which we estimate a distance of 1.5 kpc and a KS-band excess fraction larger than 60%.
Key words: stars: formation / stars: fundamental parameters / stars: luminosity function / mass function / stars: pre-main sequence / methods: data analysis
© ESO 2022
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