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Home All issues Volume 626 (June 2019) A&A, 626 (2019) A49 References
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Issue
A&A
Volume 626, June 2019
Article Number A49
Number of page(s) 18
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/201935355
Published online 12 June 2019
  1. Abadi, M., Agarwal, A., Barham, P., et al. 2015, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, Software available from:https://www.tensorflow.org [Google Scholar]
  2. Ackermann, S., Schawinski, K., Zhang, C., Weigel, A. K., & Turp, M. D. 2018, MNRAS, 479, 415 [NASA ADS] [CrossRef] [Google Scholar]
  3. Barton, E. J., Geller, M. J., & Kenyon, S. J. 2000, ApJ, 530, 660 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bell, E. F., Zucker, D. B., Belokurov, V., et al. 2008, ApJ, 680, 295 [NASA ADS] [CrossRef] [Google Scholar]
  5. Benítez-Llambay, A. 2017, Astrophysics Source Code Library [record ascl:1712.003] [Google Scholar]
  6. Bershady, M. A., Jangren, A., & Conselice, C. J. 2000, AJ, 119, 2645 [NASA ADS] [CrossRef] [Google Scholar]
  7. Brinchmann, J., Charlot, S., White, S. D. M., et al. 2004, MNRAS, 351, 1151 [NASA ADS] [CrossRef] [Google Scholar]
  8. Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000 [NASA ADS] [CrossRef] [Google Scholar]
  9. Chabrier, G. 2003, PASP, 115, 763 [NASA ADS] [CrossRef] [Google Scholar]
  10. Chollet, F. 2017, IEEE Conference on Computer Vision and Pattern Recognition [Google Scholar]
  11. Conselice, C. J. 2014, ARA&A, 52, 291 [NASA ADS] [CrossRef] [Google Scholar]
  12. Conselice, C. J., Bershady, M. A., & Jangren, A. 2000, ApJ, 529, 886 [NASA ADS] [CrossRef] [Google Scholar]
  13. Conselice, C. J., Bershady, M. A., Dickinson, M., & Papovich, C. 2003, AJ, 126, 1183 [NASA ADS] [CrossRef] [Google Scholar]
  14. Cortijo-Ferrero, C., González Delgado, R. M., Pérez, E., et al. 2017, A&A, 607, A70 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Crain, R. A., Schaye, J., Bower, R. G., et al. 2015, MNRAS, 450, 1937 [NASA ADS] [CrossRef] [Google Scholar]
  16. Darg, D. W., Kaviraj, S., Lintott, C. J., et al. 2010a, MNRAS, 401, 1552 [NASA ADS] [CrossRef] [Google Scholar]
  17. Darg, D. W., Kaviraj, S., Lintott, C. J., et al. 2010b, MNRAS, 401, 1043 [NASA ADS] [CrossRef] [Google Scholar]
  18. De Propris, R., Liske, J., Driver, S. P., Allen, P. D., & Cross, N. J. G. 2005, AJ, 130, 1516 [NASA ADS] [CrossRef] [Google Scholar]
  19. Deng, J., Dong, W., Socher, R., et al. 2009, IEEE Conference on Computer Vision and Pattern Recognition [Google Scholar]
  20. Dieleman, S., Willett, K. W., & Dambre, J. 2015, MNRAS, 450, 1441 [NASA ADS] [CrossRef] [Google Scholar]
  21. Furlong, M., Bower, R. G., Crain, R. A., et al. 2017, MNRAS, 465, 722 [NASA ADS] [CrossRef] [Google Scholar]
  22. Genel, S., Genzel, R., Bouché, N., Naab, T., & Sternberg, A. 2009, ApJ, 701, 2002 [NASA ADS] [CrossRef] [Google Scholar]
  23. Guo, Q., & White, S. D. M. 2008, MNRAS, 384, 2 [NASA ADS] [CrossRef] [Google Scholar]
  24. Gwyn, S. D. J. 2012, AJ, 143, 38 [NASA ADS] [CrossRef] [Google Scholar]
  25. Hopkins, P. F., Hernquist, L., Cox, T. J., et al. 2006, ApJS, 163, 1 [NASA ADS] [CrossRef] [Google Scholar]
  26. Huertas-Company, M., Gravet, R., Cabrera-Vives, G., et al. 2015, ApJS, 221, 8 [NASA ADS] [CrossRef] [Google Scholar]
  27. Ioffe, S., & Szegedy, C. 2015, Int. Conf. Mach. Learn. [Google Scholar]
  28. Johnston, K. V., Hernquist, L., & Bolte, M. 1996, ApJ, 465, 278 [NASA ADS] [CrossRef] [Google Scholar]
  29. Joseph, R. D., & Wright, G. S. 1985, MNRAS, 214, 87 [NASA ADS] [Google Scholar]
  30. Kauffmann, G., Heckman, T. M., White, S. D. M., et al. 2003, MNRAS, 341, 33 [NASA ADS] [CrossRef] [Google Scholar]
  31. Kingma, D. P., & Ba, J. 2015, 3rd International Conference for Learning Representations [Google Scholar]
  32. Knapen, J. H., & Cisternas, M. 2015, ApJ, 807, L16 [NASA ADS] [CrossRef] [Google Scholar]
  33. Knapen, J. H., Cisternas, M., & Querejeta, M. 2015, MNRAS, 454, 1742 [NASA ADS] [CrossRef] [Google Scholar]
  34. Komatsu, E., Smith, K. M., Dunkley, J., et al. 2011, ApJS, 192, 18 [NASA ADS] [CrossRef] [Google Scholar]
  35. Lambas, D. G., Tissera, P. B., Alonso, M. S., & Coldwell, G. 2003, MNRAS, 346, 1189 [NASA ADS] [CrossRef] [Google Scholar]
  36. Lang, M., Holley-Bockelmann, K., & Sinha, M. 2014, ApJ, 790, L33 [NASA ADS] [CrossRef] [Google Scholar]
  37. Larson, D., Dunkley, J., Hinshaw, G., et al. 2011, ApJS, 192, 16 [NASA ADS] [CrossRef] [Google Scholar]
  38. Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
  39. Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. 1998, Proc. IEEE, 86, 2278 [CrossRef] [Google Scholar]
  40. Lin, L., Koo, D. C., Willmer, C. N. A., et al. 2004, ApJ, 617, L9 [NASA ADS] [CrossRef] [Google Scholar]
  41. Lintott, C. J., Schawinski, K., Slosar, A., et al. 2008, MNRAS, 389, 1179 [NASA ADS] [CrossRef] [Google Scholar]
  42. Lotz, J. M., Primack, J., & Madau, P. 2004, AJ, 128, 163 [NASA ADS] [CrossRef] [Google Scholar]
  43. LSST Science Collaboration (Abell, P. A., et al.) 2009, ArXiv e-prints [arXiv:0912.0201] [Google Scholar]
  44. Luo, W., Yang, X., & Zhang, Y. 2014, ApJ, 789, L16 [NASA ADS] [CrossRef] [Google Scholar]
  45. Lupton, R., Blanton, M. R., Fekete, G., et al. 2004, PASP, 116, 133 [NASA ADS] [CrossRef] [Google Scholar]
  46. McAlpine, S., Helly, J. C., Schaller, M., et al. 2016, Astron. Comput., 15, 72 [NASA ADS] [CrossRef] [Google Scholar]
  47. Naab, T., & Burkert, A. 2003, ApJ, 597, 893 [NASA ADS] [CrossRef] [Google Scholar]
  48. Nair, V., & Hinton, G. E. 2010, Proc. 27th Int. Conf. Mach. Learn., 807 [Google Scholar]
  49. Patton, D. R., Pritchet, C. J., Carlberg, R. G., et al. 2002, ApJ, 565, 208 [NASA ADS] [CrossRef] [Google Scholar]
  50. Petrillo, C. E., Tortora, C., Chatterjee, S., et al. 2017, MNRAS, 472, 1129 [NASA ADS] [CrossRef] [Google Scholar]
  51. Qu, Y., Helly, J. C., Bower, R. G., et al. 2017, MNRAS, 464, 1659 [NASA ADS] [CrossRef] [Google Scholar]
  52. Robitaille, T. 2018, Reproject: Image Reprojection (Resampling), https://reproject.readthedocs.io/en/stable/, Accessed: 2019-02-12 [Google Scholar]
  53. Salim, S., Rich, R. M., Charlot, S., et al. 2007, ApJS, 173, 267 [NASA ADS] [CrossRef] [Google Scholar]
  54. Sanders, D. B., & Mirabel, I. F. 1996, ARA&A, 34, 749 [NASA ADS] [CrossRef] [Google Scholar]
  55. Schaye, J., Crain, R. A., Bower, R. G., et al. 2015, MNRAS, 446, 521 [NASA ADS] [CrossRef] [Google Scholar]
  56. Schweizer, F. 2005, in Starbursts: From 30 Doradus to Lyman Break Galaxies, eds. R. de Grijs, & R. M. González Delgado, Astrophys. Space Sci. Lib., 329, 143 [NASA ADS] [CrossRef] [Google Scholar]
  57. Sinha, M., & Holley-Bockelmann, K. 2012, ApJ, 751, 17 [NASA ADS] [CrossRef] [Google Scholar]
  58. Smirnov, N. V. 1939, Bull. Mosc. Univ., 2, 3 [Google Scholar]
  59. Snyder, G. F., Rodriguez-Gomez, V., Lotz, J. M., et al. 2019, MNRAS, 486, 3702 [NASA ADS] [CrossRef] [Google Scholar]
  60. Somerville, R. S., & Davé, R. 2015, ARA&A, 53, 51 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Sparre, M., & Springel, V. 2016, MNRAS, 462, 2418 [NASA ADS] [CrossRef] [Google Scholar]
  62. Sparre, M., Hayward, C. C., Springel, V., et al. 2015, MNRAS, 447, 3548 [NASA ADS] [CrossRef] [Google Scholar]
  63. Springel, V., Di Matteo, T., & Hernquist, L. 2005, MNRAS, 361, 776 [NASA ADS] [CrossRef] [Google Scholar]
  64. Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. 2014, J. Mach. Learn. Res., 15, 1929 [Google Scholar]
  65. Torrey, P., Snyder, G. F., Vogelsberger, M., et al. 2015, MNRAS, 447, 2753 [NASA ADS] [CrossRef] [Google Scholar]
  66. Trayford, J. W., Theuns, T., Bower, R. G., et al. 2015, MNRAS, 452, 2879 [NASA ADS] [CrossRef] [Google Scholar]
  67. Trayford, J. W., Camps, P., Theuns, T., et al. 2017, MNRAS, 470, 771 [NASA ADS] [CrossRef] [Google Scholar]
  68. Trayford, J. W., Frenk, C. S., Theuns, T., Schaye, J., & Correa, C. 2019, MNRAS, 483, 744 [NASA ADS] [CrossRef] [Google Scholar]
  69. Vogelsberger, M., Genel, S., Springel, V., et al. 2014, MNRAS, 444, 1518 [NASA ADS] [CrossRef] [Google Scholar]
  70. Walmsley, M., Ferguson, A. M. N., Mann, R. G., & Lintott, C. J. 2019, MNRAS, 483, 2968 [NASA ADS] [CrossRef] [Google Scholar]
  71. Wu, K. L., Faber, S. M., & Lauer, T. R. 2001, in Deep Fields, eds. S. Cristiani, A. Renzini, & R. E. Williams, 170 [CrossRef] [Google Scholar]
  72. York, D. G., Adelman, J., Anderson, Jr., J. E., et al. 2000, AJ, 120, 1579 [NASA ADS] [CrossRef] [Google Scholar]

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