TY - JOUR
T1 - Young Stellar Objects in the Carina Nebula: Near-infrared Variability and Spectroscopy
AU - Borissova, Jura
AU - Kurtev, Radostin
AU - Escobar, Josemanuel
AU - Alonso-García, Javier
AU - Medina, Nicolas
AU - Osses, Javier
AU - Guo, Zhen
AU - Lucas, Philip W.
AU - Kuhn, Michael
AU - Minniti, Dante
AU - Covey, Kevin R.
AU - Saito, Roberto K.
AU - Förster, Francisco
N1 - © 2025. The Author(s). This is an open access article distributed under the Creative Commons Attribution License, to view a copy of the license, see: https://creativecommons.org/licenses/by/4.0/.
PY - 2025/9/30
Y1 - 2025/9/30
N2 - We present a catalog of 652 young stellar objects (YSOs) in the Carina star-forming region. The catalog was constructed by combining near-infrared KS-band variability from the VISTA Variables in the Vía Láctea eXtended survey and medium-resolution H-band spectroscopy from APOGEE-2, Sloan Digital Sky Survey IV (SDSS-IV). Variability analysis of 6.35 million sources identified 606 variable stars. The classification of the spectral lines by semisupervised K-means clustering of 704 stars, refined through comparison with known catalogs in literature and visual inspection of the spectra, was performed. Combined with KS variability, the final catalog contains three groups: Emission-line YSOs, Absorption-line YSOs, and Literature/Variable-identified YSOs. Cross validation with the Gaia DR3 proper motion and distance estimates supports Carina membership for 415 sources. The statistical characterization of YSO variability demonstrated that most Carina members (78%) exhibit variability patterns. Of these, 134 stars show emissions in their spectra, which is consistent with some accretion processes. Analysis of fundamental stellar parameters from StarHorse and Gaia DR3 reveals typical distributions of YSOs, dominated by low-mass (1–4M⊙), solar-metallicity stars with temperatures between 4000 and 6000 K. Only a small fraction (4%) of the sources are more massive than 4M⊙, suggesting limited ongoing massive star formation in Carina. This well-characterized catalog also offers a robust training data set for machine learning applications aimed at predicting YSO behavior.
AB - We present a catalog of 652 young stellar objects (YSOs) in the Carina star-forming region. The catalog was constructed by combining near-infrared KS-band variability from the VISTA Variables in the Vía Láctea eXtended survey and medium-resolution H-band spectroscopy from APOGEE-2, Sloan Digital Sky Survey IV (SDSS-IV). Variability analysis of 6.35 million sources identified 606 variable stars. The classification of the spectral lines by semisupervised K-means clustering of 704 stars, refined through comparison with known catalogs in literature and visual inspection of the spectra, was performed. Combined with KS variability, the final catalog contains three groups: Emission-line YSOs, Absorption-line YSOs, and Literature/Variable-identified YSOs. Cross validation with the Gaia DR3 proper motion and distance estimates supports Carina membership for 415 sources. The statistical characterization of YSO variability demonstrated that most Carina members (78%) exhibit variability patterns. Of these, 134 stars show emissions in their spectra, which is consistent with some accretion processes. Analysis of fundamental stellar parameters from StarHorse and Gaia DR3 reveals typical distributions of YSOs, dominated by low-mass (1–4M⊙), solar-metallicity stars with temperatures between 4000 and 6000 K. Only a small fraction (4%) of the sources are more massive than 4M⊙, suggesting limited ongoing massive star formation in Carina. This well-characterized catalog also offers a robust training data set for machine learning applications aimed at predicting YSO behavior.
KW - Periodic variable stars
KW - Irregular variable stars
KW - Young stellar objects
KW - Herbig Ae/Be stars
KW - Star forming regions
U2 - 10.3847/1538-3881/adeb7d
DO - 10.3847/1538-3881/adeb7d
M3 - Article
SN - 0004-6256
VL - 170
JO - The Astronomical Journal
JF - The Astronomical Journal
IS - 3
M1 - adeb7d
ER -