Gaia Data Release 2
Free Access
Issue
A&A
Volume 616, August 2018
Gaia Data Release 2
Article Number A8
Number of page(s) 29
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/201732516
Published online 10 August 2018
  1. Alam, S., Albareti, F. D., Allende Prieto, C., et al. 2015, ApJS, 219, 12 [NASA ADS] [CrossRef] [Google Scholar]
  2. Astraatmadja, T. L., & Bailer-Jones, C. A. L. 2016, ApJ, 833, 119 [NASA ADS] [CrossRef] [Google Scholar]
  3. Bailer-Jones, C. A. L. 2010, MNRAS, 403, 96 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bailer-Jones, C. A. L. 2011, MNRAS, 411, 435 [NASA ADS] [CrossRef] [Google Scholar]
  5. Bailer-Jones, C. A. L. 2015, PASP, 127, 994 [NASA ADS] [CrossRef] [Google Scholar]
  6. Bailer-Jones, C. A. L., Smith, K. W., Tiede, C., Sordo, R., & Vallenari, A. 2008, MNRAS, 391, 1838 [NASA ADS] [CrossRef] [Google Scholar]
  7. Bailer-Jones, C. A. L., Andrae, R., Arcay, B., et al. 2013, A&A, 559, A74 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  8. Basu, S., Grundahl, F., Stello, D., et al. 2011, ApJ, 729, L10 [NASA ADS] [CrossRef] [Google Scholar]
  9. Bellas-Velidis, I., Kontizas, M., Dapergolas, A., et al. 2012, BlgAJ, 18, 2 [Google Scholar]
  10. Bishop, C. M. 2006, Pattern Recognition and Machine Learning (New York: Springer-Verlag) [Google Scholar]
  11. Bourges, L., Mella, G., Lafrasse, S., et al. 2017, VizieR Online Data Catalog: II/346 [Google Scholar]
  12. Bovy, J., Nidever, D. L., Rix, H.-W., et al. 2014, ApJ, 790, 127 [NASA ADS] [CrossRef] [Google Scholar]
  13. Boyajian, T. S., von Braun, K., van Belle, G., et al. 2013, ApJ, 771, 40 [NASA ADS] [CrossRef] [Google Scholar]
  14. Boyajian, T., von Braun, K., Feiden, G. A., et al. 2015, MNRAS, 447, 846 [NASA ADS] [CrossRef] [Google Scholar]
  15. Breddels, M. A. 2017, in IAU Symp., 325, 299 [NASA ADS] [Google Scholar]
  16. Bressan, A., Marigo, P., Girardi, L., et al. 2012, MNRAS, 427, 127 [NASA ADS] [CrossRef] [Google Scholar]
  17. Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245 [NASA ADS] [CrossRef] [Google Scholar]
  18. Casagrande, L., Schoenrich, R., Asplund, M., et al. 2011, VizieR Online Data Catalog: J/A+A/530/A138 [Google Scholar]
  19. Castellani, V., Degl’Innocenti, S., Prada Moroni, P. G., & Tordiglione, V. 2002, MNRAS, 334, 193 [NASA ADS] [CrossRef] [Google Scholar]
  20. Castelli, F., & Kurucz, R. L. 2003, Proc. IAU Symp. 210, poster A20, [arXiv: astro-ph/0405087] [Google Scholar]
  21. Chambers, K. C., Magnier, E. A., Metcalfe, N., et al. 2016, ArXiv e-prints [arXiv:1612.05560] [Google Scholar]
  22. Chaplin, W. J., Basu, S., Huber, D., et al. 2014, VizieR Online Data Catalog: J/ApJS/210/1 [Google Scholar]
  23. Creevey, O. L., Metcalfe, T. S., Schultheis, M., et al. 2017, VizieR Online Data Catalog: J/A+A/601/A67 [Google Scholar]
  24. Cutri, R. M., Wright, E. L., Conrow, T., et al. 2014, VizieR Online Data Catalog: II/328 [Google Scholar]
  25. de Bruijne, J. H. J. 2012, Ap&SS, 341, 31 [NASA ADS] [CrossRef] [Google Scholar]
  26. Delchambre, L. 2018, MNRAS, 473, 1785 [NASA ADS] [CrossRef] [Google Scholar]
  27. Deming, W. E. 1943, Statistical Adjustment of Data, Dover books on elementary and intermediate mathematics (Mineola: Dover Publ. Incorporated) [Google Scholar]
  28. Deng, N., Tian, Y., & Zhang, C. 2012, Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions, 1st edn. (New York: Chapman & Hall/CRC) [Google Scholar]
  29. Dowson, D., & Wragg, A. 2006, IEEE Trans. Inf. Theor., 19, 689 [CrossRef] [Google Scholar]
  30. Evans, D. W., Riello, M., De Angeli, F., et al. 2018, A&A, 616, A4 (Gaia 2 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Fuller, W. A. 2009, Measurement Error Models, Wiley Series in Probability and Statistics (Hoboken: John Wiley & Sons) [Google Scholar]
  32. Fustes, D., Manteiga M., Dafonte, C., et al. 2013, A&A, 559, A7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Gaia Collaboration, (Babusiaux, C., et al.) 2018a, A&A, 616, A10 (Gaia 2 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Gaia Collaboration (Brown, A. G. A., et al.) 2018b, A&A, 616, A1 (Gaia 2 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Geurts, P., Ernst, D., & Wehenkel, L. 2006, Mach. Learn., 63, 3 [Google Scholar]
  37. Gustafsson, B., Edvardsson, B., Eriksson, K., et al. 2008, A&A, 486, 951 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Heiter, U., Jofré, P., Gustafsson, B., et al. 2015, A&A, 582, A49 [NASA ADS] [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  39. Henden, A. A., Templeton, M., Terrell, D., et al. 2016, VizieR Online Data Catalog: II/336 [Google Scholar]
  40. Huber, D., Silva Aguirre, V., Matthews, J. M., et al. 2014, ApJS, 211, 2 [NASA ADS] [CrossRef] [Google Scholar]
  41. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [Google Scholar]
  42. Jordi, C., Gebran, M., Carrasco, J. M., et al. 2010, A&A, 523, A48 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Kleinman, S. J., Kepler, S. O., Koester, D., et al. 2013, ApJS, 204, 5 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  44. Kordopatis, G., Gilmore, G., Steinmetz, M., et al. 2013, AJ, 146, 134 [NASA ADS] [CrossRef] [Google Scholar]
  45. Lallement, R., Vergely, J.-L., Valette, B., et al. 2014, A&A, 561, A91 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Ligi, R., Creevey, O., Mourard, D., et al. 2016, VizieR Online Data Catalog: J/A+A/586/A94 [Google Scholar]
  47. Lindegren, L., Hernández, J., Bombrun, A., et al. 2018, A&A, 616, A2 (Gaia 2 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Liu, C., Bailer-Jones, C. A. L., Sordo, R., et al. 2012, MNRAS, 426, 2463 [NASA ADS] [CrossRef] [Google Scholar]
  49. Luo, A.-L., Zhao, Y.-H., Zhao, G., et al. 2015, Res. Astron. Astrophys., 15, 1095 [NASA ADS] [CrossRef] [Google Scholar]
  50. Luri, X., Brown, A. G. A., Sarro, L. M., et al. 2018, A&A, 616, A9 (Gaia 2 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Martell, S. L., Sharma, S., Buder, S., et al. 2017, MNRAS, 465, 3203 [NASA ADS] [CrossRef] [Google Scholar]
  52. McDonald, I., Zijlstra, A. A., & Watson, R. A. 2017, MNRAS, 471, 770 [NASA ADS] [CrossRef] [Google Scholar]
  53. Morrissey, P., Conrow, T., Barlow, T. A., et al. 2007, ApJS, 173, 682 [NASA ADS] [CrossRef] [Google Scholar]
  54. O’Donnell, J. E. 1994, ApJ, 422, 158 [NASA ADS] [CrossRef] [Google Scholar]
  55. Önehag, A., Korn, A., Gustafsson, B., Stempels, E., & Vandenberg, D. A. 2011, A&A, 528, A85 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Pandey, A. K., Upadhyay, K., Nakada, Y., & Ogura, K. 2003, A&A, 397, 191 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Pérez, F., & Granger, B. E. 2007, Comput. Sci. Eng., 9, 21 [Google Scholar]
  58. Pickles, A. J. 1998, PASP, 110, 863 [CrossRef] [Google Scholar]
  59. Ramírez-Agudelo, O. H., Sana, H., de Koter, A., et al. 2017, A&A, 600, A81 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Recio-Blanco, A., de Laverny, P., Allende Prieto, C., et al. 2016, A&A, 585, A93 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Riello, M., De Angeli, F., Evans, D. W., et al. 2018, A&A, 616, A3 (Gaia 2 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  62. Rodrigues, T. S., Girardi, L., Miglio, A., et al. 2014, MNRAS, 445, 2758 [NASA ADS] [CrossRef] [Google Scholar]
  63. Ruiz-Dern, L., Babusiaux, C., Arenou, F., Turon, C., & Lallement, R. 2018, A&A, 609, A116 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Sarro, L. M., Berihuete, A., Carrión, C., et al. 2013, A&A, 550, A44 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  65. Sarro, L. M., Debosscher, J., De Ridder, J., et al. 2016, Technical Note GAIA-C7-TN-SVO-LSB-015 [Google Scholar]
  66. Sartoretti, P., Katz, D., Cropper, M., et al. 2018, A&A, 616, A6 (Gaia 2 SI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. Schlafly, E. F., Green, G., Finkbeiner, D. P., et al. 2015, ApJ, 799, 116 [NASA ADS] [CrossRef] [Google Scholar]
  68. Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525 [NASA ADS] [CrossRef] [Google Scholar]
  69. Simón-Díaz, S., Castro, N., Garcia, M., Herrero, A., & Markova, N. 2011, Bull. Soc. Roy. Sci. Liège, 80, 514 [NASA ADS] [Google Scholar]
  70. Simón-Díaz, S., Godart, M., Castro, N., et al. 2017, A&A, 597, A22 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. Sirko, E., Goodman, J., Knapp, G. R., et al. 2004, AJ, 127, 899 [NASA ADS] [CrossRef] [Google Scholar]
  72. Soubiran, C., Lecampion, J., & Chemin, L. 2014, Technical Note GAIA-C6-TN-LAB-CS-011-2 [Google Scholar]
  73. Stevens, D. J., Stassun, K. G., & Gaudi, B. S. 2017, AJ, 154, 259 [NASA ADS] [CrossRef] [Google Scholar]
  74. Tammann, G. A., Sandage, A., & Reindl, B. 2003, VizieR Online Data Catalog: J/A+A/404/423 [Google Scholar]
  75. Taylor, B. J. 2006, AJ, 132, 2453 [NASA ADS] [CrossRef] [Google Scholar]
  76. Torres, G. 2010, AJ, 140, 1158 [NASA ADS] [CrossRef] [Google Scholar]
  77. Tucci Maia, M., Ramírez, I., Meléndez, J., et al. 2016, A&A, 590, A32 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  78. Vrard, M., Mosser, B., & Samadi, R. 2016, A&A, 588, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  79. White, T. R., Huber, D., Maestro, V., et al. 2013, MNRAS, 433, 1262 [NASA ADS] [CrossRef] [Google Scholar]
  80. Wils, P., Lloyd, C., & Bernhard, K. 2006, MNRAS, 368, 1757 [NASA ADS] [CrossRef] [Google Scholar]
  81. Zasowski, G., An, D., & Pinsonneault, M. 2015, in Asteroseismology of Stellar Populations in the Milky Way, eds. A. Miglio, P. Eggenberger, L. Girardi, & J. Montalbán, Astrophys., Space Sci. Proc., 39, 83 [NASA ADS] [CrossRef] [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.