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Home All issues Volume 644 (December 2020) A&A, 644 (2020) A69 References
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Issue
A&A
Volume 644, December 2020
Article Number A69
Number of page(s) 15
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/201834122
Published online 01 December 2020
  1. Abbott, T., Abdalla, F., Allam, S., et al. 2018, ApJS, 239, 18 [Google Scholar]
  2. Abolfathi, B., Aguado, D., Aguilar, G., et al. 2018, ApJS, 235, 42 [Google Scholar]
  3. Aguado, D. S., Ahumada, R., Almeida, A., et al. 2019, ApJS, 240, 23 [Google Scholar]
  4. Akhmetov, V., Fedorov, P., Velichko, A., & Shulga, V. 2017, MNRAS, 469, 763 [NASA ADS] [Google Scholar]
  5. Akhmetov, V., Khlamov, S., & Dmytrenko, A. 2019, Adv. Intell. Syst. Comput., 1080, 896 [Google Scholar]
  6. Assef, R. J., Stern, D., Kochanek, C. S., et al. 2013, ApJ, 772, 26 [Google Scholar]
  7. Baldry, I. K., Glazebrook, K., Brinkmann, J., et al. 2004, ApJ, 600, 681 [Google Scholar]
  8. Baldry, I. K., Liske, J., Brown, M. J. I., et al. 2018, MNRAS, 474, 3875 [Google Scholar]
  9. Bilicki, M., Jarrett, T., Peacock, J., et al. 2014, ApJS, 210, 9 [Google Scholar]
  10. Bilicki, M., Peacock, J., Jarrett, T., et al. 2016, ApJ, 225, 5 [Google Scholar]
  11. Blanton, M., Bershady, M., Abolfathi, B., et al. 2017, AJ, 154, 28 [Google Scholar]
  12. Blake, C., & Bridle, S. 2005, MNRAS, 363, 1329 [Google Scholar]
  13. Bradley, A. 1997, Pattern Recognit., 30, 1145 [Google Scholar]
  14. Chambers, K., Magnier, E., Metcalfe, N., et al. 2016, ArXiv e-prints [arXiv:1612.05560] [Google Scholar]
  15. Chernin, A. D. 2001, Phys. Usp., 44, 1099 [Google Scholar]
  16. Coil, A. L., Blanton, M. R., Burles, S. M., et al. 2011, ApJ, 741, 8 [Google Scholar]
  17. Cui, X. Q., Zhao, Y. H., Chu, Y. Q., et al. 2012, Res. Astron. Astrophys., 12, 1197 [Google Scholar]
  18. Cutri, R., Wright, E., Conrow, T., et al. 2013, Explanatory Supplement to the AllWISE Data Release Products [Google Scholar]
  19. Dálya, G., Galgóczi, G., Dobos, L., et al. 2018, MNRAS, 479, 2374 [Google Scholar]
  20. Davies, L. J. M., Driver, S. P., Robotham, A. S. G., et al. 2015, MNRAS, 447, 1014 [Google Scholar]
  21. Dawson, K., Kneib, J.-P., Percival, W., et al. 2016, AJ, 151, 44 [Google Scholar]
  22. Donley, J. L., Koekemoer, A. M., Brusa, M., et al. 2012, ApJ, 748, 142 [Google Scholar]
  23. Driver, S. P., Hill, D. T., Kelvin, L. S., et al. 2011, MNRAS, 413, 971 [Google Scholar]
  24. Elvis, M., Wilkes, B. J., McDowell, J. C., et al. 1994, ApJS, 95, 1 [Google Scholar]
  25. Farrow, D. J., Cole, S., Metcalfe, N., et al. 2014, MNRAS, 437, 748 [Google Scholar]
  26. Fedorov, P. N., Akhmetov, V. S., & Bobylev, V. V. 2011, MNRAS, 416, 403 [NASA ADS] [Google Scholar]
  27. Fey, A. L., Gordon, D., Jacobs, C. S., et al. 2015, AJ, 150, 58 [Google Scholar]
  28. Flewelling, H. 2018, Astron. Astrophys. Space, 231, 436.01 [Google Scholar]
  29. Freedman, W. L., Madore, B. F., Gibson, B. K., et al. 2001, ApJ, 553, 47 [Google Scholar]
  30. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Gaia Collaboration (Brown, A., et al.) 2018a, A&A, 616, A1 [Google Scholar]
  32. Gaia Collaboration (Mignard, F., et al.) 2018b, A&A, 616, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Hambly, N., MacGillivray, H., Read, M., et al. 2001, MNRAS, 326, 1279 [Google Scholar]
  34. Hasinger, G., Capak, P., Salvato, M., et al. 2018, ApJ, 858, 77 [Google Scholar]
  35. Huchra, J., Macri, L., Masters, K., et al. 2012, ApJS, 199, 26 [Google Scholar]
  36. Jacobs, C., Charlot, P., Arias, E. F., et al. 2018, COSPAR Meeting, 42nd COSPAR Scientific Assembly, 42, B2.1-31-18 [Google Scholar]
  37. Jarrett, T. H., Chester, T., Cutri, R., et al. 2000, AJ, 119, 2498 [Google Scholar]
  38. Jarrett, T. H., Cohen, M., Masci, F., et al. 2011, ApJ, 735, 112 [Google Scholar]
  39. Karachentsev, I. D., Karachentseva, V. E., Huchtmeier, W. K., & Makarov, D. I. 2004, AJ, 127, 2031 [Google Scholar]
  40. Khramtsov, V., & Akhmetov, V. 2018, Proceedings of a IEEE XIIIth International Scientific and Technical Conference “CSIT”, 72 [Google Scholar]
  41. Khramtsov, V., Sergeyev, A., Spiniello, C., et al. 2019, A&A, 632, A56 [EDP Sciences] [Google Scholar]
  42. Kim, E., Brunner, R., & Kind, M. 2015, MNRAS, 453, 507 [Google Scholar]
  43. Kingma, D. P., & Ba, J. 2014, ArXiv e-prints [arXiv:1412.6980] [Google Scholar]
  44. Kovács, A., & Szapudi, I. 2015, MNRAS, 448, 1305 [Google Scholar]
  45. Krakowski, T., Małek, K., Bilicki, M., et al. 2016, A&A, 596, A39 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Kron, R. G. 1980, ApJS, 43, 305 [Google Scholar]
  47. Kümmel, M., Mohr, J., Fontana, A., et al. 2015, ASP Conf. Ser., 495, 249 [Google Scholar]
  48. Lacy, M., Storrie-Lombardi, L. J., Sajina, A., et al. 2004, ApJS, 154, 166 [Google Scholar]
  49. Lindegren, L. 2020, A&A, 633, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Lindegren, L., Hernandez, J., & Bombrun, A. 2018, A&A, 616, A2 [Google Scholar]
  51. Ma, C., & Feissel, M. 1997, IERS Technical Note, 23 [Google Scholar]
  52. Majewski, S., APOGEE Team,& APOGEE-2 Team 2016, Astron. Nachr., 337, 863 [NASA ADS] [CrossRef] [Google Scholar]
  53. Mateos, S., Alonso-Herrero, A., Carrera, F. J., et al. 2012, MNRAS, 426, 3271 [NASA ADS] [CrossRef] [Google Scholar]
  54. Matsuhara, H., Shibai, H., Onaka, T., & Usui, F. 2005, Adv. Space Res., 36, 1091 [CrossRef] [Google Scholar]
  55. Matthews, B. 1975, Biochimica et Biophysica Acta (BBA) – Protein Structure, 405, 442 [Google Scholar]
  56. Małek, K., Solarz, A., Pollo, A., et al. 2013, A&A, 557, A16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Mignard, F. 2012, Mem. Soc. Astron. It., 83, 918 [NASA ADS] [Google Scholar]
  58. Nakoneczny, S., Bilicki, M., Solarz, A., et al. 2019, A&A, 624, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Newman, J. A., Cooper, M. C., Davis, M., et al. 2013, ApJS, 208, 5 [Google Scholar]
  60. Peacock, J., Hambly, N., Bilicki, M., et al. 2016, MNRAS, 462, 2085 [NASA ADS] [CrossRef] [Google Scholar]
  61. Perryman, M., Lindegren, L., Kovalevsky, J., et al. 1997, A&A, 323, L49 [Google Scholar]
  62. Pieres, A., Girardi, L., Balbinot, E., et al. 2020, MNRAS, 497, 1547 [CrossRef] [Google Scholar]
  63. Platt, J. C. 1999, in Advances in Large Margin Classifiers, eds. A. J. Smola, P. Bartlett, B. Schölkopf, & D. Schuurmans (Cambridge, USA: MIT Press), 61 [Google Scholar]
  64. Rumelhart, D. E., Hinton, G. E., & Williams, R. J. 1986, in Parallel Distributed Processing: Explorations in the Microstructure of Cognition, eds. D. E. Rumelhart, J. L. McClelland, & CORPORATE PDP Research Group (Cambridge, USA: MIT Press), 1, 318 [Google Scholar]
  65. Robin, A., Luri, X., Reylé, C., et al. 2012, A&A, 543, A100 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  66. Salvato, M., Ilbert, O., & Hoyle, B. 2019, Nat. Astron., 3, 212 [NASA ADS] [CrossRef] [Google Scholar]
  67. Saunders, W., Sutherland, W. J., Maddox, S. J., et al. 2000, MNRAS, 317, 55 [NASA ADS] [CrossRef] [Google Scholar]
  68. Saxe, A., McClelland, J., & Ganguli, S. 2013, ArXiv e-prints [arXiv:1312.6120] [Google Scholar]
  69. Schlafly, E. F., Meisner, A. M., & Green, G. M. 2019, ApJS, 240, 30 [Google Scholar]
  70. Schlegel, D., Finkbeiner, D., & Davis, M. 1998, ApJ, 500, 525 [NASA ADS] [CrossRef] [Google Scholar]
  71. Schölkopf, B., Smola, A., & Müller, K. 1999, in Advances in Kernel Methods, eds. B. Schölkopf, C. J. C. Burges, & A. J. Smola (Cambridge, USA: MIT Press), 327 [Google Scholar]
  72. Scodeggio, M., Guzzo, L., Garilli, B., et al. 2018, A&A, 609, A84 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. Secrest, N., Dudik, R., Dorland, B., et al. 2015, ApJ, 221, 27 [NASA ADS] [CrossRef] [Google Scholar]
  74. Skrutskie, M., Cutri, R., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
  75. Solarz, A., Pollo, A., Takeuch, T., et al. 2012, A&A, 541, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  76. Solarz, A., Bilicki, M., Gromadzki, M., et al. 2017, A&A, 606, A39 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  77. Soumagnac, M. T., Abdalla, F. B., Lahav, O., et al. 2015, MNRAS, 450, 666 [NASA ADS] [CrossRef] [Google Scholar]
  78. Spiniello, C., Agnello, A., Napolitano, N. R., et al. 2018, MNRAS, 480, 1163 [NASA ADS] [CrossRef] [Google Scholar]
  79. Stern, D., Eisenhardt, P., Gorjian, V., et al. 2005, ApJ, 631, 163 [NASA ADS] [CrossRef] [Google Scholar]
  80. Stern, D., Assef, R. J., Benford, D. J., et al. 2012, ApJ, 753, 30 [NASA ADS] [CrossRef] [Google Scholar]
  81. Taylor, M. 2005, in Astronomical Data Analysis Software and Systems XIV, eds. P. Shopbell, M. Britton, & R. Ebert, ASP Conf. Ser., 347, 29 [Google Scholar]
  82. Vapnik, V. 1995, The Nature of Statistical Learning Theory (New York, USA: Springer-Verlag) [Google Scholar]
  83. Vasconcellos, E. C., de Carvalho, R. R., Gal, R. R., et al. 2011, AJ, 141, 189 [Google Scholar]
  84. Vickers, J., Röser, S., & Grebel, E. 2016, AJ, 151, 99 [NASA ADS] [CrossRef] [Google Scholar]
  85. Werner, M. W., Roellig, T. L., Low, F. J., et al. 2004, ApJS, 154, 1 [NASA ADS] [CrossRef] [Google Scholar]
  86. Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [Google Scholar]

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