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Home All issues Volume 657 (January 2022) A&A, 657 (2022) A90 References
Open Access
Issue
A&A
Volume 657, January 2022
Article Number A90
Number of page(s) 21
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/202141393
Published online 18 January 2022
  1. Abadi, M., Barham, P., Chen, J., et al. 2016, Proceedings of the 12th USENIX Conference on Operating Systems Design and Implementation, OSDI’16 (USA: USENIX Association), 265 [Google Scholar]
  2. Arjovsky, M., Chintala, S., & Bottou, L. 2017, Wasserstein GAN [Google Scholar]
  3. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  5. Barden, M., Häußler, B., Peng, C. Y., McIntosh, D. H., & Guo, Y. 2012, MNRAS, 422, 449 [CrossRef] [Google Scholar]
  6. Bastien, D. J., Scaife, A. M. M., Tang, H., Bowles, M., & Porter, F. 2021, MNRAS, 503, 3351 [NASA ADS] [CrossRef] [Google Scholar]
  7. Bernardi, M., Meert, A., Vikram, V., et al. 2014, MNRAS, 443, 874 [NASA ADS] [CrossRef] [Google Scholar]
  8. Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Carretero, J., Tallada, P., Casals, J., et al. 2017, Proceedings of the European Physical Society Conference on High Energy Physics, 5-12 July, 488 [CrossRef] [Google Scholar]
  10. Chen, Z., Faber, S. M., Koo, D. C., et al. 2020, ApJ, 897, 102 [NASA ADS] [CrossRef] [Google Scholar]
  11. Connolly, A. J., Angeli, G. Z., Chandrasekharan, S., et al. 2014, SPIE Conf. Ser., 9150, 915014 [NASA ADS] [Google Scholar]
  12. Conselice, C. J. 2014, ARA&A, 52, 291 [CrossRef] [Google Scholar]
  13. Cropper, M., Pottinger, S., Niemi, S., et al. 2016, in Space Telescopes and Instrumentation 2016: Optical, Infrared, and Millimeter Wave, H. A. MacEwen, G. G. Fazio, M. Lystrup, N. Batalha, N. Siegler, & E. C. Tong, SPIE Conf. Ser., 9904, 99040Q [NASA ADS] [Google Scholar]
  14. Dillon, J. V., Langmore, I., Tran, D., et al. 2017, ArXiv e-prints [arXiv:1711.10604] [Google Scholar]
  15. Dimauro, P., Huertas-Company, M., Daddi, E., et al. 2018, MNRAS, 478, 5410 [Google Scholar]
  16. Ferreira, L., Conselice, C. J., Duncan, K., et al. 2020, ApJ, 895, 115 [NASA ADS] [CrossRef] [Google Scholar]
  17. Germain, M., Gregor, K., Murray, I., Larochelle, H. 2015, ArXiv e-prints [arXiv:1502.03509] [Google Scholar]
  18. Giavalisco, M., Ferguson, H. C., Koekemoer, A. M., et al. 2004, ApJ, 600, L93 [NASA ADS] [CrossRef] [Google Scholar]
  19. Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., et al. 2014, ArXiv e-prints [arXiv:1406.2661] [Google Scholar]
  20. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  21. Häußler, B., Bamford, S. P., Vika, M., et al. 2013, MNRAS, 430, 330 [Google Scholar]
  22. Huertas-Company, M., Mei, S., Shankar, F., et al. 2013, MNRAS, 428, 1715 [NASA ADS] [CrossRef] [Google Scholar]
  23. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  24. Ivezić, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [Google Scholar]
  25. Jimenez Rezende, D., & Mohamed, S. 2015, ArXiv e-prints [arXiv:1505.05770] [Google Scholar]
  26. Kingma, D. P., & Welling, M. 2013, ArXiv e-prints [arXiv:1312.6114] [Google Scholar]
  27. Kluyver, T., Ragan-Kelley, B., Pérez, F., et al. 2016, in Positioning and Powerin Academic Publishing: Players, Agents and Agendas, eds. F. Loizides, & B. Scmidt (IOS Press), 87 [Google Scholar]
  28. Kobyzev, I., Prince, S. J. D., & Brubaker, M. A. 2021, IEEE Trans. Pattern Anal. Mach. Intell., 43, 3964 [NASA ADS] [CrossRef] [Google Scholar]
  29. Kocevski, D. D., Faber, S. M., Mozena, M., et al. 2012, ApJ, 744, 148 [NASA ADS] [CrossRef] [Google Scholar]
  30. Kullback, S., & Leibler, R. A. 1951, Ann. Math. Stat., 22, 79 [CrossRef] [Google Scholar]
  31. Laigle, C., McCracken, H. J., Ilbert, O., et al. 2016, ApJS, 224, 24 [Google Scholar]
  32. Lanusse, F., Mandelbaum, R., Ravanbakhsh, S., et al. 2021, MNRAS, 504, 5543 [CrossRef] [Google Scholar]
  33. Laureijs, R. 2017, Proc. Int. Astron. Union, 12, 238 [CrossRef] [Google Scholar]
  34. Laureijs, R., Amiaux, J., & Arduini, S. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
  35. Leauthaud, A., Massey, R., Kneib, J.-P., et al. 2007, ApJS, 172, 219 [NASA ADS] [CrossRef] [Google Scholar]
  36. Lotz, J. M., Davis, M., Faber, S. M., et al. 2008, ApJ, 672, 177 [NASA ADS] [CrossRef] [Google Scholar]
  37. LSST Dark Energy Science Collaboration (Arcelin, B., et al.) 2021, MNRAS, 500, 531 [Google Scholar]
  38. Mandelbaum, R., Hirata, C. M., Leauthaud, A., Massey, R. J., & Rhodes, J. 2012, MNRAS, 420, 1518 [NASA ADS] [CrossRef] [Google Scholar]
  39. Margalef-Bentabol, B., Huertas-Company, M., Charnock, T., et al. 2020, MNRAS, 496, 2346 [Google Scholar]
  40. Merson, A. I., Baugh, C. M., Helly, J. C., et al. 2013, MNRAS, 429, 556 [NASA ADS] [CrossRef] [Google Scholar]
  41. Papamakarios, G., Pavlakou, T., & Murray, I. 2017, ArXiv e-prints [arXiv:1705.07057] [Google Scholar]
  42. Peng, C. Y., Ho, L. C., Impey, C. D., & Rix, H.-W. 2002, AJ, 124, 266 [Google Scholar]
  43. Perez, F., & Granger, B. E. 2007, Comput. Sci. Eng., 9, 21 [Google Scholar]
  44. Rowe, B. T. P., Jarvis, M., Mandelbaum, R., et al. 2015, Astron. Comput., 10, 121 [Google Scholar]
  45. Scoville, N., Aussel, H., Brusa, M., et al. 2007, ApJS, 172, 1 [Google Scholar]
  46. Sérsic, S. L. 1963, Bol. Asoc. Argent. Astron. La Plata Argent., 6, 41 [Google Scholar]
  47. Simard, L., Mendel, J. T., Patton, D. R., Ellison, S. L., & McConnachie, A. W. 2011, ApJS, 196, 11 [CrossRef] [Google Scholar]
  48. Storey-Fisher, K., Huertas-Company, M., & Ramachandra, N. 2020, ArXiv e-prints [arXiv:2012.08082] [Google Scholar]
  49. Tallada, P., Carretero, J., Casals, J., et al. 2020, Astron. Comput., 32, 100391 [Google Scholar]
  50. van den Oord, A., Kalchbrenner, N., & Vinyals, O. 2016, ArXiv e-prints [arXiv:1606.05328] [Google Scholar]
  51. van der Wel, A., Franx, M., van Dokkum, P. G., et al. 2014, ApJ, 788, 28 [Google Scholar]
  52. Villaescusa-Navarro, F., Anglés-Alcázar, D., Genel, S., et al. 2021, ApJ, 915, 71 [NASA ADS] [CrossRef] [Google Scholar]
  53. Wilper, H., Knight, R., & Cohen, J. 2020, Understanding the Visualization of Overhead and Latency in NVIDIA Nsight Systems, https://developer.nvidia.com/blog/understanding-the-visualization-of-overhead-and-latency-in-nsight-systems/>https://developer.nvidia.com/blog/understanding-the-visualization-of-overhead-and-latency-in-nsight-systems/ accessed: 2021-03-22 [Google Scholar]
  54. Yi, K., Guo, Y., Fan, Y., Wang, Y. G. 2020, ArXiv e-prints [arXiv:2001.11651] [Google Scholar]
  55. Zanisi, L., Huertas-Company, M., Lanusse, F., et al. 2021, MNRAS, 501, 4359 [NASA ADS] [CrossRef] [Google Scholar]

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