Open Access
Issue
A&A
Volume 705, January 2026
Article Number A144
Number of page(s) 13
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/202556558
Published online 14 January 2026
  1. Aleo, P., Engel, A., Narayan, G., et al. 2024, ApJ, 974, 172 [Google Scholar]
  2. Almeida, A., Anderson, S. F., Argudo-Fernández, M., et al. 2023, ApJS, 267, 44 [NASA ADS] [CrossRef] [Google Scholar]
  3. Angus, C. R., Smith, M., Sullivan, M., et al. 2019, MNRAS, 487, 2215 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bade, N., Komossa, S., & Dahlem, M. 1996, A&A, 309, L35 [NASA ADS] [Google Scholar]
  5. Ban, M., Voloshyn, P., Adomavicienė, R., et al. 2025, A&A, 697, A57 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Bellm, E. 2014, in The Third Hot-wiring the Transient Universe Workshop, 27 [Google Scholar]
  7. Bellm, E. C., Kulkarni, S. R., Graham, M. J., et al. 2019, PASP, 131, 018002 [Google Scholar]
  8. Biswas, B., Ishida, E., Peloton, J., et al. 2023, A&A, 677, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Bloom, J. S., Giannios, D., Metzger, B. D., et al. 2011, Science, 333, 203 [CrossRef] [PubMed] [Google Scholar]
  10. Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. 2002, J. Artif. Intell. Res., 16, 321 [CrossRef] [Google Scholar]
  11. 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 [Google Scholar]
  12. Dai, L., McKinney, J. C., Roth, N., Ramirez-Ruiz, E., & Miller, M. C. 2018, ApJ, 859, L20 [Google Scholar]
  13. Drake, A., Djorgovski, S., Mahabal, A., et al. 2009, ApJ, 696, 870 [NASA ADS] [CrossRef] [Google Scholar]
  14. Duncan, K. J. 2022, MNRAS, 512, 3662 [NASA ADS] [CrossRef] [Google Scholar]
  15. Förster, F., Cabrera-Vives, G., Castillo-Navarrete, E., et al. 2021, AJ, 161, 242 [CrossRef] [Google Scholar]
  16. Fraga, B. M. O., Bom, C. R., Santos, A., et al. 2024, A&A, 692, A208 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Gaia Collaboration (Bailer-Jones, C. A. L., et al.) 2023, A&A, 674, A41 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Gezari, S. 2021, ARA&A, 59, 21 [NASA ADS] [CrossRef] [Google Scholar]
  19. Gomez, S., Villar, V. A., Berger, E., et al. 2023, ApJ, 949, 113 [Google Scholar]
  20. Gordon, K. D. 2024, J. Open Source Softw., 9, 7023 [NASA ADS] [CrossRef] [Google Scholar]
  21. Gordon, K. D., Clayton, G. C., Decleir, M., et al. 2023, ApJ, 950, 86 [CrossRef] [Google Scholar]
  22. Guillochon, J., & Ramirez-Ruiz, E. 2013, ApJ, 767, 25 [NASA ADS] [CrossRef] [Google Scholar]
  23. Guolo, M., Gezari, S., Yao, Y., et al. 2024, ApJ, 966, 160 [NASA ADS] [CrossRef] [Google Scholar]
  24. Hammerstein, E., van Velzen, S., Gezari, S., et al. 2022, ApJ, 942, 9 [Google Scholar]
  25. Hills, J. G. 1975, Nature, 254, 295 [Google Scholar]
  26. Hills, J. G. 1988, Nature, 331, 687 [Google Scholar]
  27. Hosseinzadeh, G., Berger, E., Metzger, B. D., et al. 2022, ApJ, 933, 14 [NASA ADS] [CrossRef] [Google Scholar]
  28. Hung, T., Gezari, S., Blagorodnova, N., et al. 2017, ApJ, 842, 29 [NASA ADS] [CrossRef] [Google Scholar]
  29. Ivezić, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [Google Scholar]
  30. Kessler, R., Bernstein, J. P., Cinabro, D., et al. 2009, PASP, 121, 1028 [Google Scholar]
  31. Langis, D. A., Liodakis, I., Koljonen, K. I. I., et al. 2025, arXiv e-prints [arXiv:2506.05476] [Google Scholar]
  32. Le Montagner, R., Peloton, J., Carry, B., et al. 2023, A&A, 680, A17 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Leoni, M., Ishida, E. E., Peloton, J., & Möller, A. 2022, A&A, 663, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Lin, Z., Jiang, N., Wang, T., et al. 2024, ApJ, 971, L26 [NASA ADS] [CrossRef] [Google Scholar]
  35. Liu, Z., Malyali, A., Krumpe, M., et al. 2023, A&A, 669, A75 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Liu, Z., Ryu, T., Goodwin, A., et al. 2024, A&A, 683, L13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Llamas Lanza, M., Quintin, E., Russeil, E., et al. 2024, TNSAN, 178, 1 [Google Scholar]
  38. Mahabal, A., Rebbapragada, U., Walters, R., et al. 2019, PASP, 131, 038002 [NASA ADS] [CrossRef] [Google Scholar]
  39. Malanchev, K., Kornilov, M. V., Pruzhinskaya, M. V., et al. 2023, PASP, 135, 024503 [CrossRef] [Google Scholar]
  40. Malyali, A., Liu, Z., Rau, A., et al. 2023, MNRAS, 520, 3549 [NASA ADS] [CrossRef] [Google Scholar]
  41. Masson, M., & Bregeon, J. 2024, arXiv e-prints [arXiv:2412.05061] [Google Scholar]
  42. Masterson, M., De, K., Panagiotou, C., et al. 2024, ApJ, 961, 211 [NASA ADS] [CrossRef] [Google Scholar]
  43. Matheson, T., Stubens, C., Wolf, N., et al. 2021, AJ, 161, 107 [NASA ADS] [CrossRef] [Google Scholar]
  44. Milán Veres, P., Franckowiak, A., van Velzen, S., et al. 2026, A&A, in press, https://doi.org/10.1051/0004-6361/202452051 [Google Scholar]
  45. Möller, A., & de Boissière, T. 2020, MNRAS, 491, 4277 [CrossRef] [Google Scholar]
  46. Möller, A., Peloton, J., Ishida, E., et al. 2021, MNRAS, 501, 3272 [CrossRef] [Google Scholar]
  47. Möller, A., Ishida, E., Peloton, J., et al. 2025, PASA, 42, e057 [Google Scholar]
  48. Narayan, G.& ELAsTiCC Team 2023, AAS Meet. Abstr., 241, 117.01 [Google Scholar]
  49. Nordin, J., Brinnel, V., van Santen, J., et al. 2019, A&A, 631, A147 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Pavez-Herrera, M., Sánchez-Sáez, P., Hernández-García, L., et al. 2025, A&A, 696, A153 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Payne, A. V., Shappee, B. J., Hinkle, J. T., et al. 2021, ApJ, 910, 125 [NASA ADS] [CrossRef] [Google Scholar]
  52. Payne, A. V., Auchettl, K., Shappee, B. J., et al. 2023, ApJ, 951, 134 [NASA ADS] [CrossRef] [Google Scholar]
  53. Perley, D., Lunnan, R., Wise, J., et al. 2023, TNSAN, 26, 1 [Google Scholar]
  54. Pessi, P. J., Durgesh, R., Nakazono, L., et al. 2024, A&A, 691, A181 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. Pfeffermann, E., Briel, U., Hippmann, H., et al. 1986, in Soft X-ray Optics and Technology (Spie), 733, 519 [Google Scholar]
  56. Quintin, E., Russeil, E., Llamas Lanza, M., et al. 2025, A&A, submitted [arXiv:2511.19016] [Google Scholar]
  57. Rees, M. J. 1988, Nature, 333, 523 [Google Scholar]
  58. Russeil, E., Malanchev, K. L., Aleo, P. D., et al. 2024a, A&A, 683, A251 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Russeil, E., Quintin, E., Llamas Lanza, M., et al. 2024b, TNS Classif. Rep., 2024-5006, 1 [Google Scholar]
  60. Sánchez-Sáez, P., Reyes, I., Valenzuela, C., et al. 2021, AJ, 161, 141 [CrossRef] [Google Scholar]
  61. Sánchez-Sáez, P., Hernández-García, L., Bernal, S., et al. 2024, A&A, 688, A157 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  62. Saxton, C. J., Perets, H. B., & Baskin, A. 2018, MNRAS, 474, 3307 [NASA ADS] [CrossRef] [Google Scholar]
  63. Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525 [Google Scholar]
  64. The Rubin Observatory Survey Cadence Optimization Committee SCOC 2025, Survey Cadence Optimization Committee’s Phase 3 Recommendations, Tech. Rep. PSTN-056 [Google Scholar]
  65. Shatsky, N., Belinski, A., Dodin, A., et al. 2020, arXiv e-prints [arXiv:2010.10850] [Google Scholar]
  66. Sheng, X., Nicholl, M., Smith, K. W., et al. 2024, MNRAS, 531, 2474 [Google Scholar]
  67. Shlentsova, A., Hoof, A., Dalen, J., et al. 2024, TNSAN, 98, 1 [Google Scholar]
  68. Smith, K. W., Williams, R. D., Young, D. R., et al. 2019, Res. Notes AAS, 3, 26 [Google Scholar]
  69. Somalwar, J. J., Ravi, V., Margutti, R., et al. 2025a, arXiv e-prints [arXiv:2505.11597] [Google Scholar]
  70. Somalwar, J. J., Ravi, V., Yao, Y., et al. 2025b, ApJ, 985, 175 [Google Scholar]
  71. Stein, R., Mahabal, A., Reusch, S., et al. 2024, ApJ, 965, L14 [Google Scholar]
  72. Sun, L., Jiang, N., Dou, L., et al. 2024, A&A, 692, A262 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. Sun, J., Guo, H., Gu, M., et al. 2025, ApJ, 982, 150 [Google Scholar]
  74. van Velzen, S., Holoien, T. W.-S., Onori, F., Hung, T., & Arcavi, I. 2020, Space Sci. Rev., 216, 1 [CrossRef] [Google Scholar]
  75. Webb, N. A., Carrera, F. J., Schwope, A., et al. 2023, Astron. Nachr., 344, e20220102 [Google Scholar]
  76. Wenger, M., Ochsenbein, F., Egret, D., et al. 2000, A&AS, 143, 9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  77. Wevers, T., Coughlin, E., Pasham, D., et al. 2023, ApJ, 942, L33 [NASA ADS] [CrossRef] [Google Scholar]
  78. Wright, E. L., Eisenhardt, P. R., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [Google Scholar]
  79. Yao, Y., Ravi, V., Gezari, S., et al. 2023, ApJ, 955, L6 [NASA ADS] [CrossRef] [Google Scholar]
  80. Yao, Y., Chornock, R., Ward, C., et al. 2025, ApJ, 985, L48 [Google Scholar]
  81. Yuan, W., Zhang, C., Feng, H., et al. 2015, arXiv e-prints [arXiv:1506.07735] [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.