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Home All issues Volume 706 (February 2026) A&A, 706 (2026) A348 References
Open Access
Issue
A&A
Volume 706, February 2026
Article Number A348
Number of page(s) 22
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/202556113
Published online 25 February 2026
  1. Abbott, T. M. C., Adamów, M., Aguena, M., et al. 2021, ApJSS, 255, 20 [Google Scholar]
  2. Astropy Collaboration (Price-Whelan, A. M., et al.,) 2018, AJ, 156, 123 [Google Scholar]
  3. Avelino, A., Friedman, A. S., Mandel, K. S., et al. 2019, ApJ, 887, 106 [Google Scholar]
  4. Barbary, K., Bailey, S., Barentsen, G., et al. 2025, SNCosmo [Google Scholar]
  5. Barone-Nugent, R. L., Lidman, C., Wyithe, J. S. B., et al. 2012, MNRAS, 425, 1007 [NASA ADS] [CrossRef] [Google Scholar]
  6. Bellm, E. C., Kulkarni, S. R., Graham, M. J., et al. 2018, PASP, 131, 018002 [Google Scholar]
  7. Bradley, L., Sipőcz, B., Robitaille, T., et al. 2025, astropy/photutils: 2.2.0 [Google Scholar]
  8. Burns, C. R., Stritzinger, M., Phillips, M. M., et al. 2014, ApJ, 789, 32 [Google Scholar]
  9. Burns, C. R., Stritzinger, M., Phillips, M. M., et al. 2015, SNooPy: TypeIa supernovae analysis tools [Google Scholar]
  10. Cardelli, J. A., Clayton, G. C., & Mathis, J. S., 1989, ApJ, 345, 245 [Google Scholar]
  11. Chambers, K. C., Magnier, E. A., Metcalfe, N., et al. 2019, The Pan-STARRS1 Surveys [Google Scholar]
  12. Conroy, C., & Gunn, J. E., 2010, ApJ, 712, 833 [Google Scholar]
  13. Conroy, C., Gunn, J. E., & White, M., 2009, ApJ, 699, 486 [Google Scholar]
  14. Contreras, C., Hamuy, M., Phillips, M. M., et al. 2010, ApJ, 139, 519 [Google Scholar]
  15. DePoy, D. L., Atwood, B., Belville, S. R., et al. 2003, SPIE Conf. Ser., 4841, 827 [Google Scholar]
  16. DES Collaboration (Abbott, T. M. C., et al.) 2024, The Dark Energy Survey: Cosmology Results With 1500 New High-redshift Type Ia Supernovae Using the Full 5-year Dataset [Google Scholar]
  17. Do, A., Shappee, B. J., Tonry, J. L., et al. 2024, MNRAS, 536, 624 [Google Scholar]
  18. Fitzpatrick, E. L., 1999, PASP, 111, 63 [Google Scholar]
  19. Foley, R. J., Scolnic, D., Rest, A., et al. 2017, MNRAS, 475, 193 [Google Scholar]
  20. Friedman, A. S., Wood-Vasey, W. M., Marion, G. H., et al. 2015, ApJS, 220, 9 [NASA ADS] [CrossRef] [Google Scholar]
  21. Galbany, L., 2020, in XIV. 0 Scientific Meeting (virtual) of the Spanish Astronomical Society, 37 [Google Scholar]
  22. Galbany, L., de Jaeger, T., Riess, A. G., et al. 2023, A&A, 679, A95 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Grayling, M., Thorp, S., Mandel, K. S., et al. 2024, Scalable hierarchical BayeSN inference: Investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift [Google Scholar]
  24. Gupta, R. R., Kuhlmann, S., Kovacs, E., et al. 2016, ApJ, 152, 154 [Google Scholar]
  25. Hillebrandt, W., & Niemeyer, J. C., 2000, ARA&A, 38, 191 [Google Scholar]
  26. Hsiao, E. Y., Phillips, M. M., Marion, G. H., et al. 2019, PASP, 131, 014002 [NASA ADS] [CrossRef] [Google Scholar]
  27. Jha, S. W., Avelino, A., Burns, C., et al. 2019, Supernovae in the Infrared avec Hubble, HST Proposal. Cycle 27, ID. #15889 [Google Scholar]
  28. Johansson, J., Cenko, S. B., Fox, O. D., et al. 2021, ApJ, 923, 237 [NASA ADS] [CrossRef] [Google Scholar]
  29. Johnson, B. D., Leja, J., Conroy, C., & Speagle, J. S., 2021, ApJSS, 254, 22 [Google Scholar]
  30. Jones, D. O., Scolnic, D. M., Foley, R. J., et al. 2019, ApJ, 881, 19 [Google Scholar]
  31. Jones, D. O., Mandel, K. S., Kirshner, R. P., et al. 2022, ApJ, 933, 172 [NASA ADS] [CrossRef] [Google Scholar]
  32. Kashi, A., & Soker, N., 2011, MNRAS, 417, 1466 [NASA ADS] [CrossRef] [Google Scholar]
  33. Kelly, P. L., Hicken, M., Burke, D. L., Mandel, K. S., & Kirshner, R. P., 2010, ApJ, 715, 743 [Google Scholar]
  34. Kenworthy, W. D., Jones, D. O., Dai, M., et al. 2021, ApJ, 923, 265 [NASA ADS] [CrossRef] [Google Scholar]
  35. Krisciunas, K., Phillips, M. M., & Suntzeff, N. B., 2004, ApJ, 602, L81 [NASA ADS] [CrossRef] [Google Scholar]
  36. Krisciunas, K., Contreras, C., Burns, C. R., et al. 2017, AJ, 154, 211 [NASA ADS] [CrossRef] [Google Scholar]
  37. Kroupa, P., 2002, Science, 295, 82 [Google Scholar]
  38. Kushnir, D., Katz, B., Dong, S., Livne, E., & Fernández, R., 2013, ApJ, 778, L37 [NASA ADS] [CrossRef] [Google Scholar]
  39. Lampeitl, H., Nichol, R. C., Seo, H.-J., et al. 2010, MNRAS, 401, 2331 [NASA ADS] [CrossRef] [Google Scholar]
  40. Leja, J., Carnall, A. C., Johnson, B. D., Conroy, C., & Speagle, J. S., 2019, ApJ, 876, 3 [Google Scholar]
  41. Leja, J., Johnson, B. D., Conroy, C., van Dokkum, P. G., & Byler, N., 2017, ApJ, 837, 170 [NASA ADS] [CrossRef] [Google Scholar]
  42. Livio, M., & Riess, A. G., 2003, ApJ, 594, L93 [NASA ADS] [CrossRef] [Google Scholar]
  43. Mandel, K. S., Thorp, S., Narayan, G., Friedman, A. S., & Avelino, A., 2021, MNRAS, 510, 3939 [Google Scholar]
  44. Müller-Bravo, T., & Galbany, L., 2022, JOSS, 7, 4508 [Google Scholar]
  45. Müller-Bravo, T. E., Galbany, L., Karamehmetoglu, E., et al. 2022, A&A, 665, A123 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Ni, Y. Q., Moon, D., et al.-S., Drout, M. R., 2022, Nat. Astron., 6, 568 [Google Scholar]
  47. Perlmutter, S., Aldering, G., Goldhaber, G., et al. 1999, ApJ, 517, 565 [Google Scholar]
  48. Persson, S. E., Murphy, D. C., Smee, S., et al. 2013, PASP, 125, 654 [NASA ADS] [CrossRef] [Google Scholar]
  49. Peterson, E. R., Jones, D. O., Scolnic, D., et al. 2023, MNRAS, 522, 2478 [NASA ADS] [CrossRef] [Google Scholar]
  50. Phillips, M. M., 1993, ApJ, 413, L105 [Google Scholar]
  51. Phillips, M. M., Contreras, C., Hsiao, E. Y., et al. 2019, PASP, 131, 014001 [Google Scholar]
  52. Pierel, J. D. R., Jones, D. O., Kenworthy, W. D., et al. 2022, ApJ, 939, 11 [NASA ADS] [CrossRef] [Google Scholar]
  53. Pskovskii, I. P., 1977, Soviet Ast., 21, 675 [Google Scholar]
  54. Riess, A. G., Press, W. H., & Kirshner, R. P., 1996, ApJ, 473, 88 [Google Scholar]
  55. Riess, A. G., Filippenko, A. V., Challis, P., et al. 1998, ApJ, 116, 1009 [Google Scholar]
  56. Riess, A. G., Yuan, W., Macri, L. M., et al. 2022, ApJ, 934, L7 [NASA ADS] [CrossRef] [Google Scholar]
  57. Rigault, M., Smith, M., Goobar, A., et al. 2024, ZTF SN Ia DR2: Overview [Google Scholar]
  58. Rigault, M., Smith, M., Goobar, A., et al. 2025, A&A, 694, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Sako, M., Bassett, B., Becker, A. C., et al. 2018, PASP, 130, 064002 [NASA ADS] [CrossRef] [Google Scholar]
  60. Schlegel, D. J., Finkbeiner, D. P., & Davis, M., 1998, ApJ, 500, 525 [Google Scholar]
  61. Scolnic, D., Brout, D., Carr, A., et al. 2022, ApJ, 938, 113 [NASA ADS] [CrossRef] [Google Scholar]
  62. Smartt, S. J., Valenti, S., Fraser, M., et al. 2015, A&A, 579, A40 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Stanishev, V., Goobar, A., Amanullah, R., et al. 2018, A&A, 615, A45 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Stritzinger, M., Suntzeff, N. B., Hamuy, M., et al. 2005, PASP, 117, 810 [NASA ADS] [CrossRef] [Google Scholar]
  65. Stritzinger, M. D., Phillips, M. M., Boldt, L. N., et al. 2011, ApJ, 142, 156 [Google Scholar]
  66. Sullivan, M., Le Borgne, D., Pritchet, C. J., et al. 2006, ApJ, 648, 868 [NASA ADS] [CrossRef] [Google Scholar]
  67. Sullivan, M., Conley, A., Howell, D. A., et al. 2010, MNRAS, 406, 782 [NASA ADS] [Google Scholar]
  68. Thompson, T. A., 2011, ApJ, 741, 82 [NASA ADS] [CrossRef] [Google Scholar]
  69. Tonry, J. L., Stubbs, C. W., Lykke, K. R., et al. 2012, ApJ, 750, 99 [Google Scholar]
  70. Tonry, J. L., Denneau, L., Flewelling, H., et al. 2018, ApJ, 867, 105 [NASA ADS] [CrossRef] [Google Scholar]
  71. Tonry, J. L., Denneau, L., Heinze, A. N., et al. 2018, PASP, 130, 064505 [Google Scholar]
  72. Tripp, R., 1998, A&A, 331, 815 [NASA ADS] [Google Scholar]
  73. Wang, L., Contreras, C., Hu, M., et al. 2020, ApJ, 904, 14 [NASA ADS] [CrossRef] [Google Scholar]
  74. Ward, S. M., Thorp, S., Mandel, K. S., et al. 2023, ApJ, 956, 111 [NASA ADS] [CrossRef] [Google Scholar]
  75. Webbink, R. F., 1984, ApJ, 277, 355 [NASA ADS] [CrossRef] [Google Scholar]
  76. Wee, J., Chakraborty, N., Wang, J., & Penprase, B. E., 2018, ApJ, 863, 90 [Google Scholar]
  77. Weyant, A., Wood-Vasey, W. M., Joyce, R., et al. 2018, AJ, 155, 201 [NASA ADS] [CrossRef] [Google Scholar]
  78. Whelan, J., & Iben Jr., I. 1973, ApJ, 186, 1007 [CrossRef] [Google Scholar]
  79. Young, D. R., 2020, https://zenodo.org/records/10978969 [Google Scholar]

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