Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-17T03:36:30.218Z Has data issue: false hasContentIssue false
  • English
  • Français

Core-Collape Supernova Progenitors: Light-Curve and Stellar-Evolution Models

Published online by Cambridge University Press:  28 July 2017

Melina C. Bersten
Melina C. Bersten*
Affiliation:
Instituto de Astrofísica de La Plata (IALP), CCT-CONICET-UNLP. Paseo del Bosque S/N (B1900FWA), La Plata, and Facultad de Ciencias Astronómicas y Geofísicas, Universidad Nacional de La Plata, Argentina, Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8583, Japan email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

A very active area of research in the field of core-collapse supernovae (SNe) is the study of their progenitors and the links with different subtypes. Direct identification using pre- and post-SN images is a powerful method but it can only be applied to the most nearby events. An alternative method is the hydrodynamical modeling of SN light curves and expansion velocities, which can serve to characterize the progenitor (e.g. mass and radius) and the explosion itself (e.g. explosion energy and radioactive yields). This latter methodology is particularly powerful when combined with stellar evolution calculations. We review our current understanding of the properties of normal core-collapse SNe based chiefly on these two methods.

Keywords

binaries: generalsupernovae: general
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S329: The Lives and Death-Throes of Massive Stars , November 2016 , pp. 25 - 31
Copyright
Copyright © International Astronomical Union 2017 

References

Anderson, J. P., Bersten, M. C., et al., in preparationGoogle Scholar
Anderson, J. P., Gutiérrez, C. P., Dessart, L., et al. 2016, A&A, 590, C2 Google Scholar
Anderson, J. P., et al., 2014, ApJ, 786, 67 CrossRefGoogle Scholar
Benvenuto, O. G., Bersten, M. C., & Nomoto, K., 2013, ApJ, 762, 74 CrossRefGoogle Scholar
Bersten, M. C., Benvenuto, O. G., Folatelli, G., et al. 2014, AJ, 148, 68 CrossRefGoogle Scholar
Bersten, M. C., Benvenuto, O. G., Nomoto, K., et al. 2012, ApJ, 757, 31 CrossRefGoogle Scholar
Bersten, M. C., Benvenuto, O., & Hamuy, M., 2011, ApJ, 729, 61 CrossRefGoogle Scholar
Cao, Y., Kasliwal, M. M., Arcavi, I., et al. 2013, ApJl, 775, L7 CrossRefGoogle Scholar
Drout, M. R., Soderberg, A. M., Gal-Yam, A., et al. 2011, ApJ, 741, 97 CrossRefGoogle Scholar
Eldridge, J. J. & Maund, J. R., 2016, MNRAS, 461, L117 CrossRefGoogle Scholar
Eldridge, J. J., Fraser, M., Smartt, S. J., Maund, J. R., & Crockett, R. M., 2013, MNRAS, 436, 774 CrossRefGoogle Scholar
Filippenko, A. V., 1997, ARA&A, 35, 309 Google Scholar
Folatelli, G., Van Dyk, S. D., Kuncarayakti, H., et al. 2016, ApJl, 825, L22 CrossRefGoogle Scholar
Folatelli, G., Bersten, M. C., et al. 2015, ApJ Google Scholar
Folatelli, G., Bersten, M. C., Benvenuto, O. G., et al. 2014, ApJl, 793, L22 CrossRefGoogle Scholar
Fox, O. D., Azalee Bostroem, K., Van Dyk, S. D., et al. 2014, ApJ, 790, 17 CrossRefGoogle Scholar
Georgy, C., 2012, A&A, 538, L8 Google Scholar
González-Gaitán, S., Tominaga, N., Molina, J., et al. 2015, MNRAS, 451, 2212 CrossRefGoogle Scholar
Hamuy, M. & Pinto, P. A., 2002, ApJl, 566, L63 CrossRefGoogle Scholar
Langer, N., 2012, ARA&A, 50, 107 Google Scholar
Lyman, J. D., Bersier, D., & James, P. A., 2014, MNRAS, 437, 3848 CrossRefGoogle Scholar
Maund, J. R., Arcavi, I., Ergon, M., et al. 2015, MNRAS, 454, 2580 CrossRefGoogle Scholar
Maund, J. R. & Smartt, S. J., 2009, Science, 324, 486 CrossRefGoogle Scholar
Maund, J. R., Smartt, S. J., Kudritzki, R. P., Podsiadlowski, P., & Gilmore, G. F., 2004, Nature, 427, 129 CrossRefGoogle Scholar
Morozova, V., Piro, A. L., & Valenti, S. 2016, arXiv:1610.08054Google Scholar
Sana, H., de Mink, S. E., de Koter, A., et al. 2012, Science, 337, 444 CrossRefGoogle Scholar
Smartt, S. J., 2009, ARA&A, 47, 63 Google Scholar
Smartt, S. J., 2015, PASA, 32, e016 CrossRefGoogle Scholar
Smith, N., Li, W., Silverman, J. M., Ganeshalingam, M., & Filippenko, A. V., 2011, MNRAS, 415, 773 CrossRefGoogle Scholar
Utrobin, V. P., 2007, A&A, 461, 233 Google Scholar
Van Dyk, S. D., Zheng, W., Fox, O. D., et al. 2014, AJ, 147, 37 CrossRefGoogle Scholar
Van Dyk, S. D., Zheng, W., Clubb, K. I., et al. 2013, ApJ, 772, L32 CrossRefGoogle Scholar