EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 699 (July 2025) A&A, 699 (2025) A132 References
Open Access
Issue
A&A
Volume 699, July 2025
Article Number A132
Number of page(s) 18
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/202453330
Published online 02 July 2025
  1. Andonie, C., Alexander, D. M., Rosario, D., et al. 2022, MNRAS, 517, 2577 [NASA ADS] [CrossRef] [Google Scholar]
  2. Artymowicz, P. 1993, PASP, 105, 1032 [NASA ADS] [CrossRef] [Google Scholar]
  3. Becker, R. H., White, R. L., Gregg, M. D., et al. 2000, ApJ, 538, 72 [NASA ADS] [CrossRef] [Google Scholar]
  4. Begelman, M. C., Blandford, R. D., & Rees, M. J. 1984, Rev. Mod. Phys., 56, 255 [Google Scholar]
  5. Boroson, T. A., & Green, R. F. 1992, ApJS, 80, 109 [Google Scholar]
  6. Bozdogan, H. 1987, Psychometrika, 52, 345 [CrossRef] [MathSciNet] [Google Scholar]
  7. Bradley, P. S., & Fayyad, U. M. 1998, in ICML [Google Scholar]
  8. Branch, D., Leighly, K. M., Thomas, R., & Baron, E. 2002, ApJ, 578, L37 [NASA ADS] [CrossRef] [Google Scholar]
  9. Brotherton, M., Tran, H. D., Becker, R., et al. 2001, ApJ, 546, 775 [NASA ADS] [CrossRef] [Google Scholar]
  10. Carnall, A. C. 2017, SpectRes: A Fast Spectral Resampling Tool in Python [Google Scholar]
  11. Choi, H., Leighly, K. M., Terndrup, D. M., et al. 2022, ApJ, 937, 74 [NASA ADS] [CrossRef] [Google Scholar]
  12. Collin, S., Boisson, C., Mouchet, M., et al. 2002, A&A, 388, 771 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Cousineau, D., Brown, S., & Heathcote, A. 2004, BRM-IC, 36, 742 [Google Scholar]
  14. Diamond-Stanic, A. M., Fan, X., Brandt, W., et al. 2009, ApJ, 699, 782 [NASA ADS] [CrossRef] [Google Scholar]
  15. Farrah, D., Urrutia, T., Lacy, M., et al. 2010, ApJ, 717, 868 [NASA ADS] [CrossRef] [Google Scholar]
  16. Ferland, G. J., Baldwin, J. A., Korista, K. T., et al. 1996, ApJ, 461, 683 [NASA ADS] [CrossRef] [Google Scholar]
  17. Francis, P. J., Hewett, P. C., Foltz, C. B., & Chaffee, F. H. 1992, AJ, 398, 476 [Google Scholar]
  18. Fu, S., Brandt, W., Zou, F., et al. 2022, ApJ, 934, 97 [NASA ADS] [CrossRef] [Google Scholar]
  19. Green, P. J., Pulgarin-Duque, L., Anderson, S. F., et al. 2022, ApJ, 933, 180 [NASA ADS] [CrossRef] [Google Scholar]
  20. Gregg, M. D., Lacy, M., White, R. L., et al. 2002, ApJ, 564, 133 [Google Scholar]
  21. Guo, Z., & Martini, P. 2019, ApJ, 879, 72 [Google Scholar]
  22. Guo, H., Shen, Y., & Wang, S. 2018, PyQSOFit: Python code to fit the spectrum of quasars, Astrophysics Source Code Library [record ascl:1809.008] [Google Scholar]
  23. Haardt, F., & Maraschi, L. 1991, ApJ, 380, L51 [Google Scholar]
  24. Hall, P. B., Anderson, S. F., Strauss, M. A., et al. 2002, ApJS, 141, 267 [NASA ADS] [CrossRef] [Google Scholar]
  25. Hamann, F., Korista, K., Ferland, G. J., Warner, C., & Baldwin, J. 2002, ApJ, 564, 592 [NASA ADS] [CrossRef] [Google Scholar]
  26. Hamann, F., Zakamska, N. L., Ross, N., et al. 2017, MNRAS, 464, 3431 [Google Scholar]
  27. Harris, D. W., Jensen, T. W., Suzuki, N., et al. 2016, AJ, 151, 155 [NASA ADS] [CrossRef] [Google Scholar]
  28. Henrion, M., Hand, D. J., Gandy, A., & Mortlock, D. J. 2013, Statist. Anal. Data Mining, 6, 53 [Google Scholar]
  29. Hines, D. C., Schmidt, G. D., Gordon, K. D., et al. 2001, ApJ, 563, 512 [Google Scholar]
  30. Hopkins, P. F., Strauss, M. A., Hall, P. B., et al. 2004, AJ, 128, 1112 [Google Scholar]
  31. Hubert, M., & Van der Veeken, S. 2008, J. Chemom., 22, 235 [Google Scholar]
  32. Koratkar, A., & Blaes, O. 1999, PASP, 111, 1 [Google Scholar]
  33. LaMassa, S. M., Cales, S., Moran, E. C., et al. 2015, ApJ, 800, 144 [NASA ADS] [CrossRef] [Google Scholar]
  34. Liu, Z., et al. 2011, Procedia Environ. Sci., 11, 256 [Google Scholar]
  35. Lyke, B. W., Higley, A. N., McLane, J. N., et al. 2020, ApJS, 250, 8 [NASA ADS] [CrossRef] [Google Scholar]
  36. Ma, B., Shang, Z., & Brotherton, M. S. 2019, RAA, 19, 169 [Google Scholar]
  37. Marziani, P., Sulentic, J., Dultzin-Hacyan, D., Calvani, M., & Moles, M. 1996, ApJ, 104, 37 [Google Scholar]
  38. Menou, K., Berk, D. E. V., Ivezić, Ž., et al. 2001, ApJ, 561, 645 [NASA ADS] [CrossRef] [Google Scholar]
  39. Meusinger, H., Schalldach, P., Scholz, R.-D., et al. 2012, A&A, 541, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Nagao, T., Marconi, A., & Maiolino, R. 2006, A&A, 447, 157 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Napoleon, D., & Pavalakodi, S. 2011, IJCA, 13, 41 [Google Scholar]
  42. Newman, P. R., Long, D. C., Snedden, S. A., et al. 2004, in Ground-based Instrumentation for Astronomy, 5492, SPIE, 533 [Google Scholar]
  43. Ni, Q., Brandt, W., Luo, B., et al. 2018, MNRAS, 480, 5184 [NASA ADS] [Google Scholar]
  44. Ni, Q., Brandt, W., Luo, B., et al. 2022, MNRAS, 511, 5251 [NASA ADS] [CrossRef] [Google Scholar]
  45. Pâris, I., Petitjean, P., Rollinde, E., et al. 2011, A&A, 530, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Peterson, B. M. 1997, Taxonomy of Active Galactic Nuclei (Cambridge University Press), 21 [Google Scholar]
  47. Plotkin, R. M., Anderson, S. F., Hall, P. B., et al. 2008, AJ, 135, 2453 [NASA ADS] [CrossRef] [Google Scholar]
  48. Rakshit, S., Stalin, C., Kotilainen, J., & Shin, J. 2021, ApJS, 253, 28 [NASA ADS] [CrossRef] [Google Scholar]
  49. Razali, N. M., Wah, Y. B., et al. 2011, JOSMA, 2, 21 [Google Scholar]
  50. Reichard, T. A., Richards, G. T., Hall, P. B., et al. 2003a, AJ, 126, 2594 [NASA ADS] [CrossRef] [Google Scholar]
  51. Reichard, T. A., Richards, G. T., Schneider, D. P., et al. 2003b, AJ, 125, 1711 [NASA ADS] [CrossRef] [Google Scholar]
  52. Reis, I., Rotman, M., Poznanski, D., Prochaska, J., & Wolf, L. 2021, Astron. Comput., 34, 100437 [NASA ADS] [CrossRef] [Google Scholar]
  53. Richards, G. T., Hall, P. B., Berk, D. E. V., et al. 2003, AJ, 126, 1131 [Google Scholar]
  54. Sánchez Almeida, J., Aguerri, J. A. L., Muñoz-Tuñón, C., & de Vicente, A. 2010, ApJ, 714, 487 [Google Scholar]
  55. Satopaa, V., Albrecht, J., Irwin, D., & Raghavan, B. 2011, in 2011 31st ICDCS Workshops, IEEE, 166 [Google Scholar]
  56. Savitzky, A., & Golay, M. J. E. 1964, Analyt. Chem., 36, 1627 [NASA ADS] [CrossRef] [Google Scholar]
  57. Schwertman, N. C., Owens, M. A., & Adnan, R. 2004, CSDA, 47, 165 [Google Scholar]
  58. Seo, S. 2006, PhD thesis, University of Pittsburgh [Google Scholar]
  59. Shakura, N. I., & Sunyaev, R. A. 1973, A&A, 24, 337 [NASA ADS] [Google Scholar]
  60. Shao, Y., Wang, R., Weiss, A., et al. 2022, A&A, 668, A121 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Shen, Y., & Ho, L. C. 2014, Nature, 513, 210 [NASA ADS] [CrossRef] [Google Scholar]
  62. Smee, S. A., Gunn, J. E., Uomoto, A., et al. 2013, AJ, 146, 32 [Google Scholar]
  63. Solarz, A., Thomas, R., Montenegro-Montes, F. M., et al. 2020, A&A, 642, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Suzuki, N. 2006, ApJS, 163, 110 [Google Scholar]
  65. Syakur, M., Khotimah, B. K., Rochman, E., & Satoto, B. D. 2018, in IOP Conference Series: Materials Science and Engineering, 336 (IOP Publishing), 012017 [Google Scholar]
  66. Trump, J. R., Hall, P. B., Reichard, T. A., et al. 2006, ApJS, 165, 1 [Google Scholar]
  67. Vanden Berk, D. E., Richards, G. T., Bauer, A., et al. 2001, AJ, 122, 549 [Google Scholar]
  68. Vivek, M., Srianand, R., Mahabal, A., & Kuriakose, V. C. 2012a, MNRAS, 421, L107 [Google Scholar]
  69. Vivek, M., Srianand, R., Petitjean, P., et al. 2012b, MNRAS, 423, 2879 [Google Scholar]
  70. Vivek, M., Srianand, R., Petitjean, P., et al. 2014, MNRAS, 440, 799 [Google Scholar]
  71. Wethers, C., Kotilainen, J., Schramm, M., & Schulze, A. 2019, Proc. IAU, 15, 285 [Google Scholar]
  72. Wiklind, T., & Combes, F. 1996, Nature, 379, 139 [Google Scholar]
  73. Wilhite, B. C., Vanden Berk, D. E., Kron, R. G., et al. 2005, ApJ, 633, 638 [Google Scholar]
  74. Wu, Q., & Shen, Y. 2022, ApJS, 263, 42 [NASA ADS] [CrossRef] [Google Scholar]
  75. Xiong, L., Poczos, B., Connolly, A., & Schneider, J. 2018, Anomaly Detection for Astronomical Data, Carnegie Mellon University, https://doi.org/10.1184/R1/6475475.v1 [Google Scholar]
  76. Yi, W., Brandt, W., Hall, P., et al. 2019a, VizieR Online Data Catalog: J/ApJS/242/28 [Google Scholar]
  77. Yi, W., Brandt, W., Hall, P., et al. 2019b, ApJS, 242, 28 [NASA ADS] [CrossRef] [Google Scholar]
  78. Yip, C.-W., Connolly, A., Berk, D. V., et al. 2004, AJ, 128, 2603 [Google Scholar]
  79. Zheng, W., Kriss, G. A., Telfer, R. C., Grimes, J. P., & Davidsen, A. F. 1997, ApJ, 475, 469 [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.