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Home All issues Volume 662 (June 2022) A&A, 662 (2022) A125 References
Open Access
Issue
A&A
Volume 662, June 2022
Article Number A125
Number of page(s) 22
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/202141828
Published online 30 June 2022
  1. Abolfathi, B., Aguado, D. S., Aguilar, G., et al. 2018, ApJS, 235, 42 [NASA ADS] [CrossRef] [Google Scholar]
  2. Anders, F., Khalatyan, A., Chiappini, C., et al. 2019, A&A, 628, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Andrae, R., Fouesneau, M., Creevey, O., et al. 2018, A&A, 616, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Bailer-Jones, C. A. L., Rybizki, J., Fouesneau, M., Mantelet, G., & Andrae, R. 2018, AJ, 156, 58 [Google Scholar]
  5. Bailer-Jones, C. A. L., Rybizki, J., Fouesneau, M., Demleitner, M., & Andrae, R. 2021, AJ, 161, 147 [Google Scholar]
  6. Bianchi, L., Clayton, G. C., Bohlin, R. C., Hutchings, J. B., & Massey, P. 1996, ApJ, 471, 203 [NASA ADS] [CrossRef] [Google Scholar]
  7. Bianchi, L., Herald, J., Efremova, B., et al. 2011, Ap&SS, 335, 161 [Google Scholar]
  8. Bovy, J., Nidever, D. L., Rix, H.-W., et al. 2014, ApJ, 790, 127 [CrossRef] [Google Scholar]
  9. Breddels, M. A., & Veljanoski, J. 2018, A&A, 618, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Buder, S., Asplund, M., Duong, L., et al. 2018, MNRAS, 478, 4513 [Google Scholar]
  11. Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245 [Google Scholar]
  12. Castelli, F., & Kurucz, R. L. 2003, in Modelling of Stellar Atmospheres, eds. N. Piskunov, W. W. Weiss, & D. F. Gray, 210, A20 [Google Scholar]
  13. Chastenet, J., Bot, C., Gordon, K. D., et al. 2017, A&A, 601, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Chen, Y., Girardi, L., Bressan, A., et al. 2014, MNRAS, 444, 2525 [Google Scholar]
  15. Cutri, R. M., Skrutskie, M. F., van Dyk, S., et al. 2003, VizieR Online Data Catalog: II/246 [Google Scholar]
  16. Cutri, R. M., Wright, E. L., Conrow, T., et al. 2014, VizieR Online Data Catalog: II/328 [Google Scholar]
  17. Dharmawardena, T. E., Bailer-Jones, C. A. L., Fouesneau, M., & Foreman-Mackey, D. 2022, A&A, 658, A166 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. El-Badry, K., Rix, H.-W., & Heintz, T. M. 2021, MNRAS, 506, 2269 [NASA ADS] [CrossRef] [Google Scholar]
  19. Evans, D. W., Riello, M., De Angeli, F., et al. 2018, A&A, 616, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Fabricius, C., Luri, X., Arenou, F., et al. 2021, A&A, 649, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Fitzpatrick, E. L. 1999, PASP, 111, 63 [Google Scholar]
  22. Friedman, J. H. 1991, Ann. Stat., 19, 1 [NASA ADS] [Google Scholar]
  23. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Gaia Collaboration (Brown, A. G. A., et al.) 2018, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Gilmore, G., Randich, S., Asplund, M., et al. 2012, The Messenger, 147, 25 [NASA ADS] [Google Scholar]
  26. Gordon, K. D., Cartledge, S., & Clayton, G. C. 2009, ApJ, 705, 1320 [NASA ADS] [CrossRef] [Google Scholar]
  27. Gordon, K. D., Fouesneau, M., Arab, H., et al. 2016, ApJ, 826, 104 [NASA ADS] [CrossRef] [Google Scholar]
  28. Green, G. M., Schlafly, E., Zucker, C., Speagle, J. S., & Finkbeiner, D. 2019, ApJ, 887, 93 [NASA ADS] [CrossRef] [Google Scholar]
  29. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  30. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  31. Ibata, R. A., Malhan, K., & Martin, N. F. 2019, ApJ, 872, 152 [Google Scholar]
  32. Kaviraj, S., Rey, S. C., Rich, R. M., Yoon, S. J., & Yi, S. K. 2007, MNRAS, 381, L74 [Google Scholar]
  33. Kennedy, M. C., & O’Hagan, A. 2001, J. R. Stat. Soc.: Ser. B, 63, 425 [CrossRef] [Google Scholar]
  34. Kordopatis, G., Gilmore, G., Steinmetz, M., et al. 2013, AJ, 146, 134 [Google Scholar]
  35. Kroupa, P. 2001, MNRAS, 322, 231 [NASA ADS] [CrossRef] [Google Scholar]
  36. Kunder, A., Kordopatis, G., Steinmetz, M., et al. 2017, AJ, 153, 75 [Google Scholar]
  37. Lang, D. 2014, AJ, 147, 108 [Google Scholar]
  38. Lindegren, L. 2018, Considerations for the use of DR2 Astrometry, Tech. Rep., Gaia DPAC [Google Scholar]
  39. Lindegren, L., Hernández, J., Bombrun, A., et al. 2018, A&A, 616, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Maíz Apellániz, J., & Weiler, M. 2018, A&A, 619, A180 [Google Scholar]
  41. Marigo, P., Bressan, A., Nanni, A., Girardi, L., & Pumo, M. L. 2013, MNRAS, 434, 488 [Google Scholar]
  42. Marrese, P. M., Marinoni, S., Fabrizio, M., & Altavilla, G. 2019, A&A, 621, A144 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Mathur, S., Huber, D., Batalha, N. M., et al. 2017, ApJS, 229, 30 [NASA ADS] [CrossRef] [Google Scholar]
  44. McDonald, I., Zijlstra, A. A., & Watson, R. A. 2017, MNRAS, 471, 770 [Google Scholar]
  45. McMillan, P. J., Kordopatis, G., Kunder, A., et al. 2018, MNRAS, 477, 5279 [NASA ADS] [CrossRef] [Google Scholar]
  46. Meisner, A. M., Lang, D., & Schlegel, D. J. 2017, AJ, 154, 161 [NASA ADS] [CrossRef] [Google Scholar]
  47. Mints, A., & Hekker, S. 2017, A&A, 604, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Mints, A., & Hekker, S. 2018, A&A, 618, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Mo, H. J., Mao, S., & White, S. D. M. 1998, MNRAS, 295, 319 [Google Scholar]
  50. Molenda-Żakowicz, J., Bruntt, H., Sousa, S., et al. 2010, Astron. Nachr., 331, 981 [CrossRef] [Google Scholar]
  51. Pérez, F., & Granger, B. E. 2007, Comput. Sci. Eng., 9, 21 [Google Scholar]
  52. Pickles, A. J. 1998, PASP, 110, 863 [NASA ADS] [CrossRef] [Google Scholar]
  53. Poggio, E., Drimmel, R., Cantat-Gaudin, T., et al. 2021, A&A, 651, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Queiroz, A. B. A., Anders, F., Santiago, B. X., et al. 2018, MNRAS, 476, 2556 [Google Scholar]
  55. Ramírez-Agudelo, O. H., Sana, H., de Koter, A., et al. 2017, A&A, 600, A81 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Riello, M., De Angeli, F., Evans, D. W., et al. 2018, A&A, 616, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Rix, H.-W., & Bovy, J. 2013, A&ARv, 21, 61 [NASA ADS] [CrossRef] [Google Scholar]
  58. Rosenfield, P., Marigo, P., Girardi, L., et al. 2016, ApJ, 822, 73 [NASA ADS] [CrossRef] [Google Scholar]
  59. Rybizki, J., Green, G. M., Rix, H.-W., et al. 2021, MNRAS, 510, 2597 [Google Scholar]
  60. Santiago, B. X., Brauer, D. E., Anders, F., et al. 2016, A&A, 585, A42 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Schlafly, E. F., Peek, J. E. G., Finkbeiner, D. P., & Green, G. M. 2017, ApJ, 838, 36 [NASA ADS] [CrossRef] [Google Scholar]
  62. Serenelli, A. M., Bergemann, M., Ruchti, G., & Casagrande, L. 2013, MNRAS, 429, 3645 [NASA ADS] [CrossRef] [Google Scholar]
  63. Serenelli, A., Johnson, J., Huber, D., et al. 2017, ApJS, 233, 23 [Google Scholar]
  64. Simón-Díaz, S., Godart, M., Castro, N., et al. 2017, A&A, 597, A22 [CrossRef] [EDP Sciences] [Google Scholar]
  65. Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
  66. Soubiran, C., Lecampion, J., & Chemin, L. 2014, Auxiliary Data for CU6 – Atmospheric Parameters – version 2, gAIA-C6-TN-LAB-CS-011 [Google Scholar]
  67. Stanek, K. Z., & Garnavich, P. M. 1998, ApJ, 503, L131 [Google Scholar]
  68. Stevens, D. J., Stassun, K. G., & Gaudi, B. S. 2017, AJ, 154, 259 [NASA ADS] [CrossRef] [Google Scholar]
  69. Taylor, M. B. 2005, in Astronomical Data Analysis Software and Systems XIV, eds. P. Shopbell, M. Britton, & R. Ebert, ASP Conf. Ser., 347, 29 [Google Scholar]
  70. Valencic, L. A., Clayton, G. C., & Gordon, K. D. 2004, ApJ, 616, 912 [NASA ADS] [CrossRef] [Google Scholar]
  71. Vergely, J. L., Valette, B., Lallement, R., & Raimond, S. 2010, A&A, 518, A31 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  72. Wang, J., Shi, J., Pan, K., et al. 2016, MNRAS, 460, 3179 [NASA ADS] [CrossRef] [Google Scholar]
  73. Wu, Y., Luo, A.-L., Li, H.-N., et al. 2011, Res. Astron. Astrophys., 11, 924 [Google Scholar]
  74. Wu, Y., Du, B., Luo, A., Zhao, Y., & Yuan, H. 2014, in Statistical Challenges in 21st Century Cosmology, eds. A. Heavens, J. L. Starck, & A. Krone-Martins, IAU Symp., 306, 340 [NASA ADS] [Google Scholar]
  75. Young, M. E., & Short, C. I. 2017, ApJ, 835, 292 [NASA ADS] [CrossRef] [Google Scholar]
  76. Yu, J., Huber, D., Bedding, T. R., et al. 2018, ApJS, 236, 42 [NASA ADS] [CrossRef] [Google Scholar]
  77. Zinn, J. C., Pinsonneault, M. H., Huber, D., & Stello, D. 2019, ApJ, 878, 136 [Google Scholar]

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