Open Access
Issue
A&A
Volume 691, November 2024
Article Number A221
Number of page(s) 27
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/202450503
Published online 15 November 2024
  1. Abadi, M., Agarwal, A., Barham, P., et al. 2015, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, software available from tensorflow.org [Google Scholar]
  2. Abazajian, K. N., Adelman-McCarthy, J. K., Agüeros, M. A., et al. 2009, ApJS, 182, 543 [Google Scholar]
  3. Almeida, A., Anderson, S. F., Argudo-Fernández, M., et al. 2023, ApJS, 267, 44 [NASA ADS] [CrossRef] [Google Scholar]
  4. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  6. Astropy Collaboration (Price-Whelan, A. M., et al.) 2022, ApJ, 935, 167 [NASA ADS] [CrossRef] [Google Scholar]
  7. Baldry, I. K., Robotham, A. S. G., Hill, D. T., et al. 2010, MNRAS, 404, 86 [NASA ADS] [Google Scholar]
  8. Ball, N. M., Brunner, R. J., Myers, A. D., & Tcheng, D. 2006, ApJ, 650, 497 [NASA ADS] [CrossRef] [Google Scholar]
  9. Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Cenarro, A. J., Moles, M., Marín-Franch, A., et al. 2014, Proc. SPIE, 9149, 91491I [Google Scholar]
  11. Cenarro, A. J., Moles, M., Cristóbal-Hornillos, D., et al. 2019, A&A, 622, A176 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. 2002, J. Artif. Intell. Res., 16, 321 [CrossRef] [Google Scholar]
  13. Chen, T., & Guestrin, C. 2016, in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '16 (New York, NY, USA: Association for Computing Machinery), 785 [CrossRef] [Google Scholar]
  14. Cui, X.-Q., Zhao, Y.-H., Chu, Y.-Q., et al. 2012, Res. Astron. Astrophys., 12, 1197 [Google Scholar]
  15. DESI Collaboration (Adame, A. G., et al.) 2023, arXiv e-prints [arXiv:2306.86308] [Google Scholar]
  16. Dye, S., Lawrence, A., Read, M. A., et al. 2018, MNRAS, 473, 5113 [Google Scholar]
  17. Elston, R. J., Gonzalez, A. H., McKenzie, E., et al. 2006, ApJ, 639, 816 [NASA ADS] [CrossRef] [Google Scholar]
  18. Flaugher, B. 2012, in APS April Meeting Abstracts, D7007 [Google Scholar]
  19. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Gaia Collaboration (Vallenari, A., et al.) 2023, A&A, 674, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Gal, R. R., de Carvalho, R. R., Odewahn, S. C., et al. 2004, AJ, 128, 3082 [NASA ADS] [CrossRef] [Google Scholar]
  22. Girardi, L., Groenewegen, M. A. T., Hatziminaoglou, E., & da Costa, L. 2005, A&A, 436, 895 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  24. Henrion, M., Mortlock, D. J., Hand, D. J., & Gandy, A. 2011, MNRAS, 412, 2286 [NASA ADS] [CrossRef] [Google Scholar]
  25. Huang, J. S., Cowie, L. L., Gardner, J. P., et al. 1997, ApJ, 476, 12 [NASA ADS] [CrossRef] [Google Scholar]
  26. Huang, J.-S., Thompson, D., Kümmel, M. W., et al. 2001, A&A, 368, 787 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  28. Ivezic, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [NASA ADS] [CrossRef] [Google Scholar]
  29. Kashikawa, N., Shimasaku, K., Yasuda, N., et al. 2004, PASJ, 56, 1011 [NASA ADS] [CrossRef] [Google Scholar]
  30. Kron, R. G. 1980, ApJS, 43, 305 [Google Scholar]
  31. Kümmel, M. W., & Wagner, S. J. 2001, A&A, 370, 384 [Google Scholar]
  32. Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, arXiv e-prints [arXiv: 1110.3193] [Google Scholar]
  33. López-Sanjuan, C., Vázquez Ramió, H., Varela, J., et al. 2019, A&A, 622, A177 [Google Scholar]
  34. López-Sanjuan, C., Vázquez Ramió, H., Xiao, K., et al. 2024, A&A, 683, A29 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Malek, K., Solarz, A., Pollo, A., et al. 2013, A&A, 557, A16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Marín-Franch, A., Taylor, K., Cenarro, J., Cristobal-Hornillos, D., & Moles, M. 2015, in IAU General Assembly, 29, 2257381 [Google Scholar]
  37. Marocco, F., Eisenhardt, P. R. M., Fowler, J. W., et al. 2021, ApJS, 253, 8 [Google Scholar]
  38. McMahon, R. G., Banerji, M., Gonzalez, E., et al. 2013, The Messenger, 154, 35 [NASA ADS] [Google Scholar]
  39. Miller, A. A., Kulkarni, M. K., Cao, Y., et al. 2017, AJ, 153, 73 [NASA ADS] [CrossRef] [Google Scholar]
  40. Molino, A., Benítez, N., Moles, M., et al. 2014, MNRAS, 441, 2891 [Google Scholar]
  41. Odewahn, S. C., de Carvalho, R. R., Gal, R. R., et al. 2004, AJ, 128, 3092 [NASA ADS] [CrossRef] [Google Scholar]
  42. Palanque-Delabrouille, N., Magneville, C., Yèche, C., et al. 2016, A&A, 589, C2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Reid, I. N., Yan, L., Majewski, S., Thompson, I., & Smail, I. 1996, AJ, 112, 1472 [NASA ADS] [CrossRef] [Google Scholar]
  44. Saglia, R. P., Tonry, J. L., Bender, R., et al. 2012, ApJ, 746, 128 [NASA ADS] [CrossRef] [Google Scholar]
  45. Schlafly, E. F., & Finkbeiner, D. P. 2011, ApJ, 737, 103 [Google Scholar]
  46. Scranton, R., Johnston, D., Dodelson, S., et al. 2002, ApJ, 579, 48 [Google Scholar]
  47. Sebok, W. L. 1979, AJ, 84, 1526 [NASA ADS] [CrossRef] [Google Scholar]
  48. Vasconcellos, E. C., de Carvalho, R. R., Gal, R. R., et al. 2011, AJ, 141, 189 [Google Scholar]
  49. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261 [CrossRef] [Google Scholar]
  50. von Marttens, R., Marra, V., Quartin, M., et al. 2024, MNRAS, 527, 3347 [Google Scholar]
  51. Wang, C., Bai, Y., López-Sanjuan, C., et al. 2022, A&A, 659, A144 [Google Scholar]
  52. Yasuda, N., Fukugita, M., Narayanan, V. K., et al. 2001, AJ, 122, 1104 [NASA ADS] [CrossRef] [Google Scholar]

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