EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 633 (January 2020) A&A, 633 (2020) A88 References
Open Access
Issue
A&A
Volume 633, January 2020
Article Number A88
Number of page(s) 16
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/201936137
Published online 15 January 2020
  1. Anderson, J. P., Gutiérrez, C. P., Dessart, L., et al. 2016, A&A, 589, A110 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P. 2009, ARA&A, 47, 481 [NASA ADS] [CrossRef] [Google Scholar]
  3. Bailer-Jones, C. A. L., Irwin, M., & von Hippel, T. 1998, MNRAS, 298, 361 [NASA ADS] [CrossRef] [Google Scholar]
  4. Barna, B., Szalai, T., Kromer, M., et al. 2017, MNRAS, 471, 4865 [NASA ADS] [CrossRef] [Google Scholar]
  5. Baron, E., Nugent, P. E., Branch, D., & Hauschildt, P. H. 2004, ApJ, 616, L91 [NASA ADS] [CrossRef] [Google Scholar]
  6. Baron, E., Branch, D., & Hauschildt, P. H. 2007, ApJ, 662, 1148 [NASA ADS] [CrossRef] [Google Scholar]
  7. Bessell, M. S. 1990, PASP, 102, 1181 [NASA ADS] [CrossRef] [Google Scholar]
  8. Blinnikov, S., Lundqvist, P., Bartunov, O., Nomoto, K., & Iwamoto, K. 2000, ApJ, 532, 1132 [NASA ADS] [CrossRef] [Google Scholar]
  9. Bufano, F., Immler, S., Turatto, M., et al. 2009, ApJ, 700, 1456 [NASA ADS] [CrossRef] [Google Scholar]
  10. Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245 [NASA ADS] [CrossRef] [Google Scholar]
  11. Chevalier, R. A. 1976, ApJ, 207, 872 [NASA ADS] [CrossRef] [Google Scholar]
  12. Ciardullo, R., Feldmeier, J. J., Jacoby, G. H., et al. 2002, ApJ, 577, 31 [NASA ADS] [CrossRef] [Google Scholar]
  13. Connolly, A. J., Szalay, A. S., Bershady, M. A., Kinney, A. L., & Calzetti, D. 1995, AJ, 110, 1071 [NASA ADS] [CrossRef] [Google Scholar]
  14. Czekala, I., Andrews, S. M., Mandel, K. S., Hogg, D. W., & Green, G. M. 2015, ApJ, 812, 128 [NASA ADS] [CrossRef] [Google Scholar]
  15. Dessart, L., & Hillier, D. J. 2005, A&A, 437, 667 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Dessart, L., & Hillier, D. J. 2006, A&A, 447, 691 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Dessart, L., Blondin, S., Brown, P. J., et al. 2008, ApJ, 675, 644 [NASA ADS] [CrossRef] [Google Scholar]
  18. Eastman, R. G., Schmidt, B. P., & Kirshner, R. 1996, ApJ, 466, 911 [NASA ADS] [CrossRef] [Google Scholar]
  19. Faran, T., Poznanski, D., Filippenko, A. V., et al. 2014, MNRAS, 442, 844 [NASA ADS] [CrossRef] [Google Scholar]
  20. Foreman-Mackey, D., Agol, E., Ambikasaran, S., & Angus, R. 2017, AJ, 154, 220 [NASA ADS] [CrossRef] [Google Scholar]
  21. Francis, P. J., Hewett, P. C., Foltz, C. B., & Chaffee, F. H. 1992, ApJ, 398, 476 [NASA ADS] [CrossRef] [Google Scholar]
  22. Guillochon, J., Parrent, J., Kelley, L. Z., & Margutti, R. 2017, ApJ, 835, 64 [NASA ADS] [CrossRef] [Google Scholar]
  23. Gutiérrez, C. P., Anderson, J. P., Hamuy, M., et al. 2017, ApJ, 850, 90 [NASA ADS] [CrossRef] [Google Scholar]
  24. Hachinger, S., Mazzali, P. A., Taubenberger, S., et al. 2012, MNRAS, 422, 70 [NASA ADS] [CrossRef] [Google Scholar]
  25. Hamuy, M., Pinto, P. A., Maza, J., et al. 2001, ApJ, 558, 615 [NASA ADS] [CrossRef] [Google Scholar]
  26. Heitmann, K., Higdon, D., White, M., et al. 2009, ApJ, 705, 156 [NASA ADS] [CrossRef] [Google Scholar]
  27. Hügelmeyer, S. D., Dreizler, S., Werner, K., et al. 2007, in 15th European Workshop on White Dwarfs, eds. R. Napiwotzki, & M. R. Burleigh, ASP Conf. Ser., 372, 249 [NASA ADS] [Google Scholar]
  28. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  29. Jones, E., Oliphant, T., Peterson, P., et al. 2001, SciPy: Open source scientific tools for Python [Google Scholar]
  30. Kerzendorf, W., Nöbauer, U., & Sim, S. 2019, tardis-sn/tardis: TARDIS v3.0 alpha2 [Google Scholar]
  31. Kerzendorf, W. E., & Sim, S. A. 2014, MNRAS, 440, 387 [NASA ADS] [CrossRef] [Google Scholar]
  32. Leonard, D. C., Filippenko, A. V., Ardila, D. R., & Brotherton, M. S. 2001, ApJ, 553, 861 [NASA ADS] [CrossRef] [Google Scholar]
  33. Leonard, D. C., Filippenko, A. V., Gates, E. L., et al. 2002, PASP, 114, 35 [NASA ADS] [CrossRef] [Google Scholar]
  34. Leonard, D. C., Kanbur, S. M., Ngeow, C. C., & Tanvir, N. R. 2003, ApJ, 594, 247 [NASA ADS] [CrossRef] [Google Scholar]
  35. Lietzau, S. 2017, PhD Thesis, Technical University Munich [Google Scholar]
  36. Lucy, L. B. 1999a, A&A, 344, 282 [NASA ADS] [Google Scholar]
  37. Lucy, L. B. 1999b, A&A, 345, 211 [NASA ADS] [Google Scholar]
  38. Lucy, L. B. 2002, A&A, 384, 725 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  39. Lucy, L. B. 2003, A&A, 403, 261 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Magee, M. R., Kotak, R., Sim, S. A., et al. 2017, A&A, 601, A62 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. McQuinn, K. B. W., Skillman, E. D., Dolphin, A. E., Berg, D., & Kennicutt, R. 2016, ApJ, 826, 21 [NASA ADS] [CrossRef] [Google Scholar]
  42. Murphy, K. P. 2012, Machine Learning: A Probabilistic Perspective (The MIT Press) [Google Scholar]
  43. Oliphant, T. E. 2006, Guide to NumPy (UT: Provo) [Google Scholar]
  44. Pastorello, A., Sauer, D., Taubenberger, S., et al. 2006, MNRAS, 370, 1752 [NASA ADS] [CrossRef] [Google Scholar]
  45. Pastorello, A., Valenti, S., Zampieri, L., et al. 2009, MNRAS, 394, 2266 [NASA ADS] [CrossRef] [Google Scholar]
  46. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  47. Poznanski, D., Nugent, P. E., & Filippenko, A. V. 2010, ApJ, 721, 956 [NASA ADS] [CrossRef] [Google Scholar]
  48. Prantzos, N., Doom, C., Arnould, M., & de Loore, C. 1986, ApJ, 304, 695 [NASA ADS] [CrossRef] [Google Scholar]
  49. Rajpaul, V., Aigrain, S., Osborne, M. A., Reece, S., & Roberts, S. 2015, MNRAS, 452, 2269 [NASA ADS] [CrossRef] [Google Scholar]
  50. Rasmussen, C. E., & Williams, C. K. I. 2006, Gaussian Processes for Machine Learning (The MIT Press) [Google Scholar]
  51. Sasdelli, M., Hillebrandt, W., Aldering, G., et al. 2015, MNRAS, 447, 1247 [NASA ADS] [CrossRef] [Google Scholar]
  52. Sasdelli, M., Ishida, E. E. O., Vilalta, R., et al. 2016, MNRAS, 461, 2044 [NASA ADS] [CrossRef] [Google Scholar]
  53. Savitzky, A., & Golay, M. J. E. 1964, Anal. Chem., 36, 1627 [NASA ADS] [CrossRef] [Google Scholar]
  54. Stehle, M., Mazzali, P. A., Benetti, S., & Hillebrandt, W. 2005, MNRAS, 360, 1231 [NASA ADS] [CrossRef] [Google Scholar]
  55. Stein, M. 1987, Technometrics, 29, 143 [CrossRef] [Google Scholar]
  56. Taddia, F., Moquist, P., Sollerman, J., et al. 2016, A&A, 587, L7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Tipping, M. E., & Bishop, C. M. 1999, J. R. Stat. Soc.: Ser. B (Stat. Method.), 61, 611 [CrossRef] [Google Scholar]
  58. Tsvetkov, D. Y., Volnova, A. A., Shulga, A. P., et al. 2006, A&A, 460, 769 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Vogl, C., Sim, S. A., Noebauer, U. M., Kerzendorf, W. E., & Hillebrandt, W. 2019, A&A, 621, A29 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Williamson, M., Modjaz, M., & Bianco, F. B. 2019, ApJ, 880, L22 [NASA ADS] [CrossRef] [Google Scholar]
  61. Yaron, O., & Gal-Yam, A. 2012, PASP, 124, 668 [NASA ADS] [CrossRef] [Google Scholar]
  62. Yip, C. W., Connolly, A. J., Vanden Berk, D. E., et al. 2004, AJ, 128, 2603 [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.