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Home All issues Volume 619 (November 2018) A&A, 619 (2018) A14 References
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Issue
A&A
Volume 619, November 2018
Article Number A14
Number of page(s) 19
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/201730763
Published online 30 October 2018
  1. Alam, S., Albareti, F. D., Allende Prieto, C., et al. 2015, ApJS, 219, 12 [NASA ADS] [CrossRef] [Google Scholar]
  2. Arnaboldi, M., Neeser, M. J., Parker, L. C., et al. 2007, The Messenger, 127 [Google Scholar]
  3. Baldry, I. K., Robotham, A. S. G., Hill, D. T., et al. 2010, MNRAS, 404, 86 [NASA ADS] [Google Scholar]
  4. Baldwin, J. A., Phillips, M. M., & Terlevich, R. 1981, PASP, 93, 5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Baum, W. A. 1962, Problems of Extra-Galactic Research, 15, 390 [Google Scholar]
  6. Bell, E. F., Wolf, C., Meisenheimer, K., et al. 2004, ApJ, 608, 752 [NASA ADS] [CrossRef] [Google Scholar]
  7. Bishop, C. M. 2006, “Pattern Recognition and Machine Learning” (Information Science and Statistics) (Secaucus, NJ, USA: Springer-Verlag New York Inc.) [Google Scholar]
  8. Bixler, J. V., Bowyer, S., & Laget, M. 1991, A&A, 250, 370 [NASA ADS] [PubMed] [Google Scholar]
  9. Bohlin, R. C., Colina, L., & Finley, D. S. 1995, AJ, 110, 1316 [NASA ADS] [CrossRef] [Google Scholar]
  10. Bolzonella, M., Miralles, J.-M., & Pelló, R. 2000, A&A, 363, 476 [NASA ADS] [Google Scholar]
  11. Breiman, L. 2001, Mach. Learn., 45, 1 [Google Scholar]
  12. Brescia, M., Cavuoti, S., & Longo, G. 2015, MNRAS, 450, 3893 [NASA ADS] [CrossRef] [Google Scholar]
  13. Brunner, H., Cappelluti, N., Hasinger, G., et al. 2008, A&A, 479, 283 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000 [NASA ADS] [CrossRef] [Google Scholar]
  15. Buchner, J., Georgakakis, A., Nandra, K., et al. 2014, A&A, 564, A125 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Capak, P., Aussel, H., Ajiki, M., et al. 2007, ApJS, 172, 99 [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. Coil, A. L., Blanton, M. R., Burles, S. M., et al. 2011, ApJ, 741, 8 [NASA ADS] [CrossRef] [Google Scholar]
  19. Cool, R. J., Moustakas, J., Blanton, M. R., et al. 2013, ApJ, 767, 118 [NASA ADS] [CrossRef] [Google Scholar]
  20. Dahlen, T., Mobasher, B., Faber, S. M., et al. 2013, ApJ, 775, 93 [Google Scholar]
  21. de Jong, J. T. A., Verdoes Kleijn, G. A., Boxhoorn, D. R., et al. 2015, A&A, 582, A62 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Fotopoulou, S., Salvato, M., Hasinger, G., et al. 2012, ApJS, 198, 1 [NASA ADS] [CrossRef] [Google Scholar]
  23. Fotopoulou, S., Buchner, J., Georgantopoulos, I., et al. 2016a, A&A, 587, A142 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Fotopoulou, S., Pacaud, F., Paltani, S., et al. 2016b, A&A, 592, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Garilli, B., Guzzo, L., Scodeggio, M., et al. 2014, A&A, 562, A23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Hsu, L.-T., Salvato, M., Nandra, K., et al. 2014, ApJ, 796, 60 [NASA ADS] [CrossRef] [Google Scholar]
  27. Hubble, E. P. 1926, ApJ, 64, 321 [NASA ADS] [CrossRef] [Google Scholar]
  28. Hudelot, P., Cuillandre, J. C., Withington, K., et al. 2012, VizieR Online Data Catalog: II/317 [Google Scholar]
  29. Ilbert, O., Capak, P., Salvato, M., et al. 2009, ApJ, 690, 1236 [NASA ADS] [CrossRef] [Google Scholar]
  30. Ivezić, Ž., Connelly, A. J., VanderPlas, J. T., & Gray, A. 2014, Statistics, Data Mining, and Machine-learning in Astronomy (Princeton, NJ: Princeton University Press) [Google Scholar]
  31. Jones, D. H., Saunders, W., Colless, M., et al. 2004, MNRAS, 355, 747 [NASA ADS] [CrossRef] [Google Scholar]
  32. Jones, D. H., Read, M. A., Saunders, W., et al. 2009, MNRAS, 399, 683 [NASA ADS] [CrossRef] [Google Scholar]
  33. Kullback, S., & Leibler, R. A. 1951, Ann. Math. Stat., 22, 79 [Google Scholar]
  34. Le Fèvre, O., Cassata, P., Cucciati, O., et al. 2013, A&A, 559, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Liske, J., Baldry, I. K., Driver, S. P., et al. 2015, MNRAS, 452, 2087 [NASA ADS] [CrossRef] [Google Scholar]
  36. Mainzer, A., Bauer, J., Grav, T., et al. 2011, ApJ, 731, 53 [NASA ADS] [CrossRef] [Google Scholar]
  37. Maraston, C. 2005, MNRAS, 362, 799 [NASA ADS] [CrossRef] [Google Scholar]
  38. Meusinger, H., Schalldach, P., Scholz, R.-D., et al. 2012, A&A, 541, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  39. Morrissey, P., Conrow, T., Barlow, T. A., et al. 2007, ApJS, 173, 682 [NASA ADS] [CrossRef] [Google Scholar]
  40. Moutard, T., Arnouts, S., Ilbert, O., et al. 2016, A&A, 590, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Nandra, K., Laird, E. S., Aird, J. A., et al. 2015, ApJS, 220, 10 [NASA ADS] [CrossRef] [Google Scholar]
  42. Odewahn, S. C., Humphreys, R. M., Aldering, G., & Thurmes, P. 1993, PASP, 105, 1354 [NASA ADS] [CrossRef] [Google Scholar]
  43. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  44. Pickles, A. J. 1998, PASP, 110, 863 [CrossRef] [Google Scholar]
  45. Richards, G. T., Weinstein, M. A., Schneider, D. P., et al. 2001, AJ, 122, 1151 [NASA ADS] [CrossRef] [Google Scholar]
  46. Robin, A. C., Rich, R. M., Aussel, H., et al. 2007, ApJS, 172, 545 [NASA ADS] [CrossRef] [Google Scholar]
  47. Salvato, M., Hasinger, G., Ilbert, O., et al. 2009, ApJ, 690, 1250 [Google Scholar]
  48. Salvato, M., Ilbert, O., Hasinger, G., et al. 2011, ApJ, 742, 61 [NASA ADS] [CrossRef] [Google Scholar]
  49. Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525 [NASA ADS] [CrossRef] [Google Scholar]
  50. Scoville, N., Aussel, H., Brusa, M., et al. 2007, ApJS, 172, 1 [NASA ADS] [CrossRef] [Google Scholar]
  51. Soumagnac, M. T., Abdalla, F. B., Lahav, O., et al. 2015, MNRAS, 450, 666 [NASA ADS] [CrossRef] [Google Scholar]
  52. Stern, D., Assef, R. J., Benford, D. J., et al. 2012, ApJ, 753, 30 [NASA ADS] [CrossRef] [Google Scholar]
  53. Ucci, G., Ferrara, A., Gallerani, S., & Pallottini, A. 2017, MNRAS, 465, 1144 [Google Scholar]
  54. Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [NASA ADS] [CrossRef] [Google Scholar]

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