EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 689 (September 2024) A&A, 689 (2024) A249 References
Open Access
Issue
A&A
Volume 689, September 2024
Article Number A249
Number of page(s) 25
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/202449725
Published online 20 September 2024
  1. Abbott, T. M. C., Abdalla, F. B., Allam, S., et al. 2018, ApJS, 239, 18 [Google Scholar]
  2. Alam, S., Albareti, F. D., Allende Prieto, C., et al. 2015, ApJS, 219, 12 [Google Scholar]
  3. Almeida, A., Anderson, S. F., Argudo-Fernández, M., et al. 2023, ApJS, 267, 44 [NASA ADS] [CrossRef] [Google Scholar]
  4. Almeida-Fernandes, F., SamPedro, L., Herpich, F. R., et al. 2022, MNRAS, 511, 4590 [NASA ADS] [CrossRef] [Google Scholar]
  5. Almeida-Fernandes, F., Placco, V. M., Rocha-Pinto, H. J., et al. 2023, MNRAS, 523, 2934 [CrossRef] [Google Scholar]
  6. Alonso-García, J., Mateo, M., Sen, B., et al. 2012, AJ, 143, 70 [Google Scholar]
  7. Alonso-García, J., Saito, R. K., Hempel, M., et al. 2018, A&A, 619, A4 [Google Scholar]
  8. Baumgardt, H., Hilker, M., Sollima, A., & Bellini, A. 2019, MNRAS, 482, 5138 [Google Scholar]
  9. Benítez, N. 2000, ApJ, 536, 571 [Google Scholar]
  10. Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Bertin, E., Mellier, Y., Radovich, M., et al. 2002, ASP Conf. Ser., 281, 228 [Google Scholar]
  12. Bianchi, L., Shiao, B., & Thilker, D. 2017, VizieR Online Data Catalog: II/335 [Google Scholar]
  13. Bishop, C. 1994, Mixture density networks, Workingpaper, Aston University, UK [Google Scholar]
  14. Bishop, C. M. 1997, J. Brazilian Comput. Soc., 4, 61 [Google Scholar]
  15. Bom, C. R., Cortesi, A., Lucatelli, G., et al. 2021, MNRAS, 507, 1937 [CrossRef] [Google Scholar]
  16. Bom, C. R., Cortesi, A., Ribeiro, U., et al. 2024, MNRAS, 528, 4188 [NASA ADS] [CrossRef] [Google Scholar]
  17. Brammer, G. B., van Dokkum, P. G., & Coppi, P. 2008, ApJ, 686, 1503 [Google Scholar]
  18. Breiman, L. 2001, Mach. Learn., 45, 5 [Google Scholar]
  19. Buzzo, M. L., Cortesi, A., Forbes, D. A., et al. 2022, MNRAS, 510, 1383 [Google Scholar]
  20. Calzetti, D., Kinney, A. L., & Storchi-Bergmann, T. 1994, ApJ, 429, 582 [Google Scholar]
  21. Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245 [Google Scholar]
  22. Cenarro, A. J., Moles, M., Cristóbal-Hornillos, D., et al. 2019, A&A, 622, A176 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Chambers, K. C., Magnier, E. A., Metcalfe, N., et al. 2016, arXiv e-prints [arXiv:1612.05560] [Google Scholar]
  24. Coelho, P. R. T. 2014, MNRAS, 440, 1027 [Google Scholar]
  25. Cutri, R. M., Wright, E. L., Conrow, T., et al. 2013, Explanatory Supplement to the AllWISE Data Release Products, Explanatory Supplement to the AllWISE Data Release Products, by R. M. Cutri et al. [Google Scholar]
  26. da Costa, L. N., Willmer, C., Pellegrini, P. S., & Chincarini, G. 1987, AJ, 93, 1338 [CrossRef] [Google Scholar]
  27. DESI Collaboration (Adame, A. G., et al.) 2024, AJ, 168, 58 [NASA ADS] [CrossRef] [Google Scholar]
  28. Dotter, A. 2016, ApJS, 222, 8 [Google Scholar]
  29. Dupke, R. A., Irwin, J., Bonoli, S., et al. 2019, AAS Meeting Abstracts, 233, 383.01 [NASA ADS] [Google Scholar]
  30. Euclid Collaboration (Scaramella, R., et al.) 2022, A&A, 662, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Fabiano de Souza, G., Westera, P., Almeida-Fernandes, F., et al. 2024, MNRAS, 527, 1733 [Google Scholar]
  32. Fernández-Soto, A., Lanzetta, K. M., Chen, H. W., Levine, B., & Yahata, N. 2002, MNRAS, 330, 889 [CrossRef] [Google Scholar]
  33. Fitzpatrick, E. L. 1999, PASP, 111, 63 [Google Scholar]
  34. Gaia Collaboration (Brown, A. G. A., et al.) 2018, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Gaia Collaboration (Vallenari, A., et al.) 2023, A&A, 674, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Górski, M., Zgirski, B., Pietrzynski, G., et al. 2020, ApJ, 889, 179 [CrossRef] [Google Scholar]
  37. Hartmann, E. A., Bonatto, C. J., Chies-Santos, A. L., et al. 2022, MNRAS, 515, 4191 [CrossRef] [Google Scholar]
  38. Hersbach, H. 2000, Weather Forecast., 15, 559 [CrossRef] [Google Scholar]
  39. Hopp, U., & Materne, J. 1985, A&AS, 61, 93 [NASA ADS] [Google Scholar]
  40. Ilbert, O., Arnouts, S., McCracken, H. J., et al. 2006, A&A, 457, 841 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Indebetouw, R., Mathis, J. S., Babler, B. L., et al. 2005, ApJ, 619, 931 [NASA ADS] [CrossRef] [Google Scholar]
  42. Ivezic, Ž., Smith, J. A., Miknaitis, G., et al. 2007, AJ, 134, 973 [Google Scholar]
  43. Ivezic, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [NASA ADS] [CrossRef] [Google Scholar]
  44. Izbicki, R., & Lee, A. B. 2017, Electronic J. Statis., 11, 2800 [Google Scholar]
  45. Kaldare, R., Colless, M., Raychaudhury, S., & Peterson, B. A. 2003, MNRAS, 339, 652 [NASA ADS] [CrossRef] [Google Scholar]
  46. Kraan-Korteweg, R. C. 2000, A&AS, 141, 123 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Kron, R. G. 1980, ApJS, 43, 305 [Google Scholar]
  48. Lang, D. 2014, AJ, 147, 108 [Google Scholar]
  49. Lima, E. V. R., Sodré, L., Bom, C. R., et al. 2022, Astron. Comput., 38, 100510 [NASA ADS] [CrossRef] [Google Scholar]
  50. Lima-Dias, C., Monachesi, A., Torres-Flores, S., et al. 2021, MNRAS, 500, 1323 [Google Scholar]
  51. Lima-Dias, C., Monachesi, A., Torres-Flores, S., et al. 2024, MNRAS, 527, 5792 [Google Scholar]
  52. Louys, M., Tody, D., Dowler, P., et al. 2017, Observation Data Model Core Components, its Implementation in the Table Access Protocol Version 1.1, IVOA Recommendation 09 May 2017 [Google Scholar]
  53. Lyke, B. W., Higley, A. N., McLane, J. N., et al. 2020, ApJS, 250, 8 [NASA ADS] [CrossRef] [Google Scholar]
  54. Marín-Franch, A., Chueca, S., Moles, M., et al. 2012, SPIE, 8450, 84503S [Google Scholar]
  55. Mendes de Oliveira, C., Ribeiro, T., Schoenell, W., et al. 2019, MNRAS, 489, 241 [NASA ADS] [CrossRef] [Google Scholar]
  56. Montaguth, G. P., Torres-Flores, S., Monachesi, A., et al. 2023, MNRAS, 524, 5340 [NASA ADS] [CrossRef] [Google Scholar]
  57. Morrissey, P., Conrow, T., Barlow, T. A., et al. 2007, ApJS, 173, 682 [Google Scholar]
  58. Nakazono, L., Mendes de Oliveira, C., Hirata, N. S. T., et al. 2021, MNRAS, 507, 5847 [CrossRef] [Google Scholar]
  59. Nakazono, L., R Valença, R., Soares, G., et al. 2024, MNRAS, 531, 327 [NASA ADS] [CrossRef] [Google Scholar]
  60. Noll, S., Kausch, W., Barden, M., et al. 2012, A&A, 543, A92 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Olave-Rojas, D. E., Cerulo, P., Araya-Araya, P., & Olave-Rojas, D. A. 2023, MNRAS, 519, 4171 [NASA ADS] [CrossRef] [Google Scholar]
  62. Petrosian, V. 1976, ApJ, 210, L53 [NASA ADS] [CrossRef] [Google Scholar]
  63. Placco, V. M., Almeida-Fernandes, F., Arentsen, A., et al. 2022, ApJS, 262, 8 [CrossRef] [Google Scholar]
  64. Placco, V. M., Almeida-Fernandes, F., Holmbeck, E. M., et al. 2023, ApJ, 959, 60 [NASA ADS] [CrossRef] [Google Scholar]
  65. Placco, V. M., Roederer, I. U., Lee, Y. S., et al. 2021, ApJ, 912, L32 [NASA ADS] [CrossRef] [Google Scholar]
  66. Polsterer, K. L. 2017, IAU Symp., 325, 156 [NASA ADS] [Google Scholar]
  67. Proust, D., Quintana, H., Carrasco, E. R., et al. 2006, A&A, 447, 133 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  68. Quispe-Huaynasi, F., Roig, F., Placco, V. M., et al. 2024, MNRAS, 527, 6173 [Google Scholar]
  69. Santiago, B. X., Strauss, M. A., Lahav, O., et al. 1995, ApJ, 446, 457 [CrossRef] [Google Scholar]
  70. Schechter, P. L., Mateo, M., & Saha, A. 1993, PASP, 105, 1342 [Google Scholar]
  71. Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525 [Google Scholar]
  72. Schmidt, S. J., Malz, A. I., Soo, J. Y. H., et al. 2020, MNRAS, 499, 1587 [Google Scholar]
  73. Shanks, T., Metcalfe, N., Chehade, B., et al. 2015, MNRAS, 451, 4238 [NASA ADS] [CrossRef] [Google Scholar]
  74. Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
  75. Strauss, M. A., Davis, M., Yahil, A., & Huchra, J. P. 1992, ApJ, 385, 421 [Google Scholar]
  76. Thainá-Batista, J., Cid Fernandes, R., Herpich, F. R., et al. 2023, MNRAS, 526, 1874 [Google Scholar]
  77. Tonry, J. L., Denneau, L., Flewelling, H., et al. 2018, ApJ, 867, 105 [NASA ADS] [CrossRef] [Google Scholar]
  78. Werner, S. V., Cypriano, E. S., Gonzalez, A. H., et al. 2023, MNRAS, 519, 2630 [Google Scholar]
  79. Whitten, D. D., Placco, V. M., Beers, T. C., et al. 2019, A&A, 622, A182 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  80. Whitten, D. D., Placco, V. M., Beers, T. C., et al. 2021, ApJ, 912, 147 [NASA ADS] [CrossRef] [Google Scholar]
  81. Wolf, C., Onken, C. A., Luvaul, L. C., et al. 2018, PASA, 35, e010 [Google Scholar]
  82. Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [Google Scholar]
  83. York, D. G., Adelman, J., Anderson, John E.J., et al. 2000, AJ, 120, 1579 [NASA ADS] [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.