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| DOI | 10.1051/0004-6361/202453227 | ||||
| Año | 2025 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Context. With the rise of large surveys across wavelengths, both supervised and unsupervised machine learning algorithms have increasingly aided in detecting large samples of old open clusters in high-extinction regions of the Milky Way bulge and disk. Aims. Our primary goal is to confirm or discard automatically detected open clusters from poorly studied, heavily contaminated regions of the Milky Way. Cleaning these samples is critical for reconstructing the Galactic disk's star formation history and understanding the thin and thick disk formation model. Methods. We used data from the VVVX, 2MASS, and Gaia DR3 surveys to confirm and characterize nine open cluster candidates: BH118, BH 144, Schuster-MWSC 1756, Saurer 3, FSR 1521, Saurer 2, Haffner 10-FSR 1231, Juchert 12, and Pismis 3. We constructed density maps and vector-proper motion diagrams to analyse the targets and performed photometric analysis to derive their main physical parameters. Results. We examined cluster images from the 2MASS, WISE, and DECaPS surveys, identifying star clusters through an over-density of stars. This was confirmed with a VVVX photometry density map and validated using Gaussian kernel density estimation. Using Gaia proper motion data, we refined cluster memberships and decontaminated the data to build the final cluster catalogue with objects with a high probability of being star cluster members. We derived the following parameters: extinction values (A(Ks)) ranging from 0.07 +/- 0.03 to 0.50 +/- 0.04; colour excess values (E(J-K-s)) from 0.16 +/- 0.03 to 0.60 +/- 0.03; distances (D) from 2.19 +/- 0.06 kpc to 8.94 +/- 0.06 kpc; Galactocentric distances (R-G) from 7.82 kpc to 15.08 kpc; vertical distance component values (Z) from -0.09 kpc to 0.34 kpc; and tangential velocities (V-T) from 30.59 km/s to 245.42 km/s. We also computed ages and metallicities by fitting PARSEC isochrones, finding ages (t) ranging from 20 Myr to 5 Gyr and metallicities ([Fe/H]) from -0.5 to 0.5. Structural parameters include core radii (r(c)) from 0.71 ' to 5.21 ', tidal radii (r(t)) from 3.4 ' to 12.0 ', and concentration indices (c) from 0.36 to 0.83. Conclusions. We photometrically confirm the open cluster nature for the nine targets in our compilation and updated their main physical parameters.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Obasi, C. O. | - |
Universidad Católica del Norte - Chile
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| 2 | Garro, E. R. | - |
Observatorio Europeo Austral - Chile
European Southern Observatory Santiago - Chile |
| 3 | Fernandez-Trincado, J. G. | - |
Universidad Católica del Norte - Chile
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| 4 | MINNITI-DEL BARCO, DANTE | Hombre |
Universidad Nacional Andrés Bello - Chile
Vatican Observ - Vaticano Vatican Observatory - Italia |
| 5 | Gomez, M. | - |
Universidad Nacional Andrés Bello - Chile
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| 6 | Parisi, M. C. | Mujer |
UNIV NACL CORDOBA - Argentina
UNC - Argentina Observatorio Astronomico de la Universidad Nacional de Cordoba - Argentina Instituto de Astronomia Teorica y Experimental - Argentina |
| 7 | Ortigoza-Urdaneta, M. | - |
Universidad de Atacama - Chile
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| Fuente |
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| FONDECYT |
| National Science Foundation |
| Fondo Nacional de Desarrollo Científico y Tecnológico |
| National Aeronautics and Space Administration |
| European Space Agency |
| DPAC |
| Gaia Data Processing and Analysis Consortium |
| Joint Committee ESO-Government of Chile |
| Cambridge Astronomical Survey Unit |
| ANID Fondecyt |
| Agencia Nacional de Investigación y Desarrollo |
| Diabetes Patient Advocacy Coalition |
| Center for Astrophysics and Associated Technologies CATA by the ANID BASAL |
| Agradecimiento |
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| We gratefully acknowledge the use of data from the ESO Public Survey program IDs 179.B-2002 and 198.B-2004 taken with the VISTA telescope and data products from the Cambridge Astronomical Survey Unit. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular, the institutions participating in the Gaia Multilateral Agreement. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. We would also like to thank the reviewer for the constructive feedback, which has improved the quality of our manuscript and strengthened our discussion. C.O. Obasi gratefully acknowledges the grants support provided by the Joint Committee ESO-Government of Chile under the agreement 2023 ORP 062/2023. J.G.F.-T. gratefully acknowledges the grants support provided by ANID Fondecyt Iniciacion No. 11220340, ANID Fondecyt Postdoc No. 3230001 (Sponsoring researcher) from the Joint Committee ESO-Government of Chile under the agreement 2021 ORP 023/2021 and 2023 ORP 062/2023. D.M. gratefully acknowledges support from the Center for Astrophysics and Associated Technologies CATA by the ANID BASAL projects ACE210002 and FB210003, by Fondecyt Project No. 1220724. M.G. gratefully acknowledges support from Fondecyt through grant 1240755. |
| We gratefully acknowledge the use of data from the ESO Public Survey program IDs 179.B-2002 and 198.B-2004 taken with the VISTA telescope and data products from the Cambridge Astronomical Survey Unit. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular, the institutions participating in the Gaia Multilateral Agreement. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. We would also like to thank the reviewer for the constructive feedback, which has improved the quality of our manuscript and strengthened our discussion. C.O. Obasi gratefully acknowledges the grants support provided by the Joint Committee ESO-Government of Chile under the agreement 2023 ORP 062/2023. J.G.F.-T. gratefully acknowledges the grants support provided by ANID Fondecyt Iniciaci\u00F3n No. 11220340, ANID Fondecyt Postdoc No. 3230001 (Sponsoring researcher) from the Joint Committee ESO-Government of Chile under the agreement 2021 ORP 023/2021 and 2023 ORP 062/2023. D.M. gratefully acknowledges support from the Center for Astrophysics and Associated Technologies CATA by the ANID BASAL projects ACE210002 and FB210003, by Fondecyt Project No. 1220724. M.G. gratefully acknowledges support from Fondecyt through grant 1240755. |