Open Access
Issue |
A&A
Volume 675, July 2023
|
|
---|---|---|
Article Number | A67 | |
Number of page(s) | 10 | |
Section | Galactic structure, stellar clusters and populations | |
DOI | https://doi.org/10.1051/0004-6361/202244737 | |
Published online | 03 July 2023 |
- Allison, R. J., Goodwin, S. P., Parker, R. J., et al. 2009, MNRAS, 395, 1449 [Google Scholar]
- Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
- Bai, L., Zhong, J., Chen, L., et al. 2022, RAA, 22, 055022 [NASA ADS] [Google Scholar]
- Bailer-Jones, C. A. L. 2015, PASP, 127, 994 [Google Scholar]
- Bisht, D., Yadav, R. K. S., Ganesh, S., et al. 2019, MNRAS, 482, 1471 [NASA ADS] [CrossRef] [Google Scholar]
- Bonatto, C., & Bica, E. 2009, MNRAS, 397, 1915 [CrossRef] [Google Scholar]
- Bovy, J. 2015, ApJS, 216, 29 [NASA ADS] [CrossRef] [Google Scholar]
- Bressan, A., Marigo, P., Girardi, L., et al. 2012, MNRAS, 427, 127 [NASA ADS] [CrossRef] [Google Scholar]
- Cantat-Gaudin, T., & Anders, F. 2020, A&A, 633, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Carrera, R., Pasquato, M., Vallenari, A., et al. 2019, A&A, 627, A119 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Chen, Y., Girardi, L., Bressan, A., et al. 2014, MNRAS, 444, 2525 [Google Scholar]
- Darma, R., Arifyanto, M. I., & Kouwenhoven, M. B. N. 2021, MNRAS, 506, 4603 [NASA ADS] [CrossRef] [Google Scholar]
- de La Fuente Marcos, R., & de La Fuente Marcos, C. 2009, A&A, 500, L13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- de la Fuente Marcos, R., & de la Fuente Marcos, C. 2010, ApJ, 719, 104 [CrossRef] [Google Scholar]
- Dias, W. S., Monteiro, H., Moitinho, A., et al. 2021, MNRAS, 504, 356 [NASA ADS] [CrossRef] [Google Scholar]
- Dinnbier, F., Kroupa, P., & Anderson, R. I. 2022, A&A, 660, A61 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ester, M., Kriegel, H. P., Sander, J., & Xu, X. 1996, Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, KDD’96 (AAAI Press), 226 [Google Scholar]
- Fabricius, C., Luri, X., Arenou, F., et al. 2021, A&A, 649, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gaia Collaboration (Brown, A. G. A., et al.) 2018, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gaia Collaboration (Drimmel, R., et al.) 2023, A&A, 674, A37 [CrossRef] [EDP Sciences] [Google Scholar]
- Hao, C. J., Xu, Y., Wu, Z. Y., et al. 2022, A&A, 660, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Hottier, C., Babusiaux, C., & Arenou, F. 2021, A&A, 655, A68 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Katz, D., Sartoretti, P., Guerrier, A., et al. 2023, A&A, 674, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Krone-Martins, A., & Moitinho, A. 2014, A&A, 561, A57 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kroupa, P. 2001, MNRAS, 322, 231 [NASA ADS] [CrossRef] [Google Scholar]
- Krumholz, M. R., McKee, C. F., & Bland-Hawthorn, J. 2019, ARA&A, 57, 227 [NASA ADS] [CrossRef] [Google Scholar]
- Lada, C. J., & Lada, E. A. 2003, ARA&A, 41, 57 [Google Scholar]
- Lindegren, L., Hernández, J., Bombrun, A., et al. 2018, A&A, 616, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lindegren, L., Klioner, S. A., Hernández, J., et al. 2021, A&A, 649, A2 [EDP Sciences] [Google Scholar]
- Liu, L., & Pang, X. 2019, ApJS, 245, 32 [CrossRef] [Google Scholar]
- Li, L., Shao, Z., Li, Z.-Z., et al. 2020, ApJ, 901, 49 [Google Scholar]
- Massi, F., Weiss, A., Elia, D., et al. 2019, A&A, 628, A110 [EDP Sciences] [Google Scholar]
- Murphy, D. C., & May, J. 1991, A&A, 247, 202 [NASA ADS] [Google Scholar]
- Naidoo, K. 2019, J. Open Source Softw., 4, 1721 [NASA ADS] [CrossRef] [Google Scholar]
- Olmi, L., Anglés-Alcázar, D., De Luca, M., et al. 2010, ApJ, 723, 1065 [NASA ADS] [CrossRef] [Google Scholar]
- Pang, X., Li, Y., Yu, Z., et al. 2021, ApJ, 912, 162 [NASA ADS] [CrossRef] [Google Scholar]
- Pang, X., Tang, S.-Y., Li, Y., et al. 2022, ApJ, 931, 156 [NASA ADS] [CrossRef] [Google Scholar]
- Pera, M. S., Perren, G. I., Moitinho, A., et al. 2021, A&A, 650, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pettersson, B., & Reipurth, B. 1994, A&AS, 104, 233 [NASA ADS] [Google Scholar]
- Piecka, M., & Paunzen, E. 2021, A&A, 649, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Prisinzano, L., Damiani, F., Guarcello, M. G., et al. 2018, A&A, 617, A63 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Priyatikanto, R., Kouwenhoven, M. B. N., Arifyanto, M. I., et al. 2016, MNRAS, 457, 1339 [NASA ADS] [CrossRef] [Google Scholar]
- Qin, S., Zhong, J., Tang, T., et al. 2023, ApJS, 265, 12 [NASA ADS] [CrossRef] [Google Scholar]
- Ripley, B. D. 1976, J. Appl. Probab., 13, 255 [CrossRef] [Google Scholar]
- Ripley, B. D. 1979, J. R. Stat. Soc. Ser. B (Methodol.), 41, 368 [Google Scholar]
- Salpeter, E. E. 1955, ApJ, 121, 161 [Google Scholar]
- Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
- Tarricq, Y., Soubiran, C., Casamiquela, L., et al. 2022, A&A, 659, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Tang, S.-Y., Pang, X., Yuan, Z., et al. 2019, ApJ, 877, 12 [Google Scholar]
- Taylor, M. B. 2005, ASP Conf. Ser., 347, 29 [Google Scholar]
- Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
- Ye, X., Zhao, J., Zhang, J., et al. 2021, AJ, 162, 171 [NASA ADS] [CrossRef] [Google Scholar]
- Yuan, Z., Chang, J., Banerjee, P., et al. 2018, ApJ, 863, 26 [NASA ADS] [CrossRef] [Google Scholar]
- Zhang, Y., Tang, S.-Y., Chen, W. P., et al. 2020, ApJ, 889, 99 [NASA ADS] [CrossRef] [Google Scholar]
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