EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 649 (May 2021) A&A, 649 (2021) A127 References
Free Access
Issue
A&A
Volume 649, May 2021
Article Number A127
Number of page(s) 15
Section Stellar structure and evolution
DOI https://doi.org/10.1051/0004-6361/202140413
Published online 26 May 2021
  1. Allard, F., Homeier, D., & Freytag, B. 2011, in 16th Cambridge Workshop on Cool Stars, Stellar Systems, and the Sun, eds. C. Johns-Krull, M. K. Browning,, & A. A. West, ASP Conf. Ser., 448, 91 [Google Scholar]
  2. Arenou, F., Luri, X., Babusiaux, C., et al. 2018, A&A, 616, A17 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P. 2009, ARA&A, 47, 481 [NASA ADS] [CrossRef] [Google Scholar]
  4. Barbaro, G., & Pigatto, L. 1984, A&A, 136, 355 [NASA ADS] [Google Scholar]
  5. Bausch, J. 2013, J. Phys. A: Math. Theor., 46, 505202 [Google Scholar]
  6. Bergbusch, P. A., & VandenBerg, D. A. 2001, ApJ, 556, 322 [NASA ADS] [CrossRef] [Google Scholar]
  7. Bernard, E. J., Ferguson, A. M. N., Schlafly, E. F., et al. 2014, MNRAS, 442, 2999 [Google Scholar]
  8. Bica, E., & Bonatto, C. 2011, A&A, 530, A32 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Böhm-Vitense, E. 2007, AJ, 133, 1903 [NASA ADS] [CrossRef] [Google Scholar]
  10. Bonatto, C., Kerber, L. O., Bica, E., & Santiago, B. X. 2006, A&A, 446, 121 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Borodina, O. I., Seleznev, A. F., Carraro, G., & Danilov, V. M. 2019, ApJ, 874, 127 [NASA ADS] [CrossRef] [Google Scholar]
  12. Bossini, D., Vallenari, A., Bragaglia, A., et al. 2019, A&A, 623, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Boudreault, S., Bailer-Jones, C. A. L., Goldman, B., Henning, T., & Caballero, J. A. 2010, A&A, 510, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Bouvier, J., Duchêne, G., Mermilliod, J. C., & Simon, T. 2001, A&A, 375, 989 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Bressan, A., Girardi, L., Marigo, P., Rosenfield, P., & Tang, J. 2015, Asteroseismology of Stellar Populations in the Milky Way, 39, 25 [Google Scholar]
  16. Brott, I., & Hauschildt, P. H. 2005, in The Three-Dimensional Universe with Gaia, eds. C. Turon, K. S. O’Flaherty, & M. A. C. Perryman, ESA Spec. Pub., 576, 565 [Google Scholar]
  17. Brown, T. M., Ferguson, H. C., Smith, E., et al. 2005, AJ, 130, 1693 [NASA ADS] [CrossRef] [Google Scholar]
  18. Cantat-Gaudin, T., Donati, P., Vallenari, A., et al. 2016, A&A, 588, A120 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Cantat-Gaudin, T., Jordi, C., Vallenari, A., et al. 2018, A&A, 618, A93 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Cantat-Gaudin, T., Krone-Martins, A., Sedaghat, N., et al. 2019, A&A, 624, A126 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Casagrande, L., Silva Aguirre, V., Schlesinger, K. J., et al. 2016, MNRAS, 455, 987 [NASA ADS] [CrossRef] [Google Scholar]
  22. Cassisi, S. 2010, in Stellar Populations - Planning for the Next Decade, eds. G. R. Bruzual, & S. Charlot, 262, 13 [Google Scholar]
  23. Cassisi, S. 2014, EAS Pub. Ser., 65, 17 [Google Scholar]
  24. Castaño-Martínez, A., & López-Blázquez, F. 2005, TEST, 14, 397 [Google Scholar]
  25. Castelli, F., & Kurucz, R. L. 2003, in Modelling of Stellar Atmospheres, eds. N. Piskunov, W. W. Weiss, & D. F. Gray, IAU Symp., 210, 20P [Google Scholar]
  26. Castro-Ginard, A., Jordi, C., Luri, X., et al. 2018, A&A, 618, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Correnti, M., Gennaro, M., Kalirai, J. S., Brown, T. M., & Calamida, A. 2016, ApJ, 823, 18 [CrossRef] [Google Scholar]
  28. Creevey, O. L., Metcalfe, T. S., Schultheis, M., et al. 2017, A&A, 601, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Davis, A. W. 1977, J. Am. Stat. Assoc., 72, 212 [Google Scholar]
  30. Degl’Innocenti, S., Prada Moroni, P. G., Marconi, M., & Ruoppo, A. 2008, Ap&SS, 316, 25 [NASA ADS] [CrossRef] [Google Scholar]
  31. Dell’Omodarme, M., Valle, G., Degl’Innocenti, S., & Prada Moroni, P. G. 2012, A&A, 540, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Evans, D. W., Riello, M., De Angeli, F., et al. 2018, A&A, 616, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Ferreira, F. A., Santos, J. F. C., Corradi, W. J. B., Maia, F. F. S., & Angelo, M. S. 2019, MNRAS, 483, 5508 [NASA ADS] [CrossRef] [Google Scholar]
  34. Flannery, B. P., & Johnson, B. C. 1982, ApJ, 263, 166 [NASA ADS] [CrossRef] [Google Scholar]
  35. Frayn, C. M., & Gilmore, G. F. 2002, MNRAS, 337, 445 [NASA ADS] [CrossRef] [Google Scholar]
  36. Friedman, J. H. 1984, A variable span smoother, Tech. Rep. 5, Laboratory for Computational Statistics, Department of Statistics, Stanford University [Google Scholar]
  37. Friel, E. D. 1995, ARA&A, 33, 381 [NASA ADS] [CrossRef] [Google Scholar]
  38. Gagné, J., Faherty, J. K., & Mamajek, E. E. 2018, ApJ, 865, 136 [CrossRef] [Google Scholar]
  39. Gai, N., Basu, S., Chaplin, W. J., & Elsworth, Y. 2011, ApJ, 730, 63 [NASA ADS] [CrossRef] [Google Scholar]
  40. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Gaia Collaboration (Brown, A. G. A., et al. 2018a, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Gaia Collaboration (Babusiaux, C., et al.) 2018b, A&A, 616, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Gaia Collaboration (Brown, A. G. A., et al.) 2021, A&A, 649, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Gallart, C., Zoccali, M., & Aparicio, A. 2005, ARA&A, 43, 387 [NASA ADS] [CrossRef] [Google Scholar]
  45. Geenens, G., & Wang, C. 2018, J. Comput. Graphical Stat., 27, 822 [Google Scholar]
  46. Gennaro, M., Prada Moroni, P. G., & Tognelli, E. 2012, MNRAS, 420, 986 [NASA ADS] [CrossRef] [Google Scholar]
  47. Gizis, J., & Reid, I. N. 1995, AJ, 110, 1248 [NASA ADS] [CrossRef] [Google Scholar]
  48. Gnanadesikan, R., & Kettenring, J. R. 1972, Biometrics, 28, 81 [CrossRef] [Google Scholar]
  49. Gustafsson, B., Edvardsson, B., Eriksson, K., et al. 2008, A&A, 486, 951 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Hardin, J., & Rocke, D. M. 2005, J. Comput. Graphical Stat., 14, 928 [Google Scholar]
  51. Harris, J., & Zaritsky, D. 2001, ApJS, 136, 25 [NASA ADS] [CrossRef] [Google Scholar]
  52. Hu, Y., & Scarrott, C. 2018, J. Stat. Software, 84, 1 [Google Scholar]
  53. Imbriani, G., Costantini, H., Formicola, A., et al. 2005, Eur. Phys. J. A, 25, 455 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Imhof, J. P. 1961, Biometrika, 48, 417 [Google Scholar]
  55. Janes, K., & Adler, D. 1982, ApJS, 49, 425 [NASA ADS] [CrossRef] [Google Scholar]
  56. Jones, M. C. 1993, Stat. Comput., 3, 135 [Google Scholar]
  57. Jørgensen, B. R., & Lindegren, L. 2005, A&A, 436, 127 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Karunamuni, R. J., & Alberts, T. 2005, Can. J. Stat., 33, 497 [Google Scholar]
  59. Khalaj, P., & Baumgardt, H. 2013, MNRAS, 434, 3236 [NASA ADS] [CrossRef] [Google Scholar]
  60. Kos, J., de Silva, G., Buder, S., et al. 2018, MNRAS, 480, 5242 [NASA ADS] [CrossRef] [Google Scholar]
  61. Krishna Swamy, K. S. 1966, ApJ, 145, 174 [NASA ADS] [CrossRef] [Google Scholar]
  62. Li, L., Shao, Z., Li, Z.-Z., et al. 2020, ApJ, 901, 49 [Google Scholar]
  63. Maeder, A., & Mermilliod, J. C. 1981, A&A, 93, 136 [NASA ADS] [Google Scholar]
  64. Mathai, A. M. 1982, Ann. Inst. Stat. Math., 34, 591 [Google Scholar]
  65. McKeever, J. M., Basu, S., & Corsaro, E. 2019, ApJ, 874, 180 [NASA ADS] [CrossRef] [Google Scholar]
  66. Mermilliod, J. C. 2000, in Stellar Clusters and Associations: Convection, Rotation, and Dynamos, eds. R. Pallavicini, G. Micela, & S. Sciortino, ASP Conf. Ser., 198, 105 [Google Scholar]
  67. Miglio, A., Brogaard, K., Stello, D., et al. 2012, MNRAS, 419, 2077 [Google Scholar]
  68. Moschopoulos, P., & Canada, W. B. 1984, Comput. Math. Appl., 10, 383 [Google Scholar]
  69. Naylor, T., & Jeffries, R. D. 2006, MNRAS, 373, 1251 [NASA ADS] [CrossRef] [Google Scholar]
  70. Netopil, M., Paunzen, E., Heiter, U., & Soubiran, C. 2016, A&A, 585, A150 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. Pinfield, D. J., Dobbie, P. D., Jameson, R. F., et al. 2003, MNRAS, 342, 1241 [NASA ADS] [CrossRef] [Google Scholar]
  72. Piskunov, A. E., Kharchenko, N. V., Röser, S., Schilbach, E., & Scholz, R.-D. 2006, A&A, 445, 545 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. Pont, F., & Eyer, L. 2004, MNRAS, 351, 487 [NASA ADS] [CrossRef] [Google Scholar]
  74. Provost, S. B., & Mathai, A. M. 1992, Quadratic Forms in Random Variables: Theory and Applications, Statistics: Textbooks and Monographs (Marcel Dekker) [Google Scholar]
  75. R Core Team 2018, R: A Language and Environment for Statistical Computing (Vienna, Austria: R Foundation for Statistical Computing) [Google Scholar]
  76. Randich, S., Primas, F., Pasquini, L., Sestito, P., & Pallavicini, R. 2007, A&A, 469, 163 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  77. Randich, S., Tognelli, E., Jackson, R., et al. 2018, A&A, 612, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  78. Riello, M., De Angeli, F., Evans, D. W., et al. 2021, A&A, 649, A3 [Google Scholar]
  79. Ruben, H. 1962, Ann. Math. Stat., 33, 542 [Google Scholar]
  80. Salaris, M., & Cassisi, S. 2017, Roy. Soc. Open Sci., 4, 170192 [Google Scholar]
  81. Salpeter, E. E. 1955, ApJ, 121, 161 [Google Scholar]
  82. Sheikhi, N., Hasheminia, M., Khalaj, P., et al. 2016, MNRAS, 457, 1028 [NASA ADS] [CrossRef] [Google Scholar]
  83. Soderblom, D. R. 2010, ARA&A, 48, 581 [NASA ADS] [CrossRef] [Google Scholar]
  84. Sollima, A., Carballo-Bello, J. A., Beccari, G., et al. 2010, MNRAS, 401, 577 [NASA ADS] [CrossRef] [Google Scholar]
  85. Stancliffe, R. J., Fossati, L., Passy, J.-C., & Schneider, F. R. N. 2016, A&A, 586, A119 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  86. Thoul, A. A., Bahcall, J. N., & Loeb, A. 1994, ApJ, 421, 828 [NASA ADS] [CrossRef] [Google Scholar]
  87. Tognelli, E., Prada Moroni, P. G., & Degl’Innocenti, S. 2011, A&A, 533, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  88. Tognelli, E., Prada Moroni, P. G., & Degl’Innocenti, S. 2018, MNRAS, 476, 27 [Google Scholar]
  89. Tognelli, E., Dell’Omodarme, M., Valle, G., Prada Moroni, P. G., & Degl’Innocenti, S. 2021, MNRAS, 501, 383 [Google Scholar]
  90. Tolstoy, E., & Saha, A. 1996, ApJ, 462, 672 [Google Scholar]
  91. Valle, G., Dell’Omodarme, M., Prada Moroni, P. G., & Degl’Innocenti, S. 2013, A&A, 549, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  92. Valle, G., Dell’Omodarme, M., Tognelli, E., Prada Moroni, P. G., & Degl’Innocenti, S. 2018, A&A, 619, A158 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  93. Valls-Gabaud, D. 2014, EAS Pub. Ser., 65, 225 [Google Scholar]
  94. VandenBerg, D. A., & Stetson, P. B. 2004, PASP, 116, 997 [NASA ADS] [CrossRef] [Google Scholar]
  95. von Hippel, T., Jefferys, W. H., Scott, J., et al. 2006, ApJ, 645, 1436 [NASA ADS] [CrossRef] [Google Scholar]
  96. Wagner-Kaiser, R., Mackey, D., Sarajedini, A., et al. 2017, MNRAS, 471, 3347 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.