Predicting the nature of supernova progenitors. (28th October 2017)
- Record Type:
- Journal Article
- Title:
- Predicting the nature of supernova progenitors. (28th October 2017)
- Main Title:
- Predicting the nature of supernova progenitors
- Authors:
- Groh, Jose H.
- Abstract:
- Abstract : Stars more massive than about 8 solar masses end their lives as a supernova (SN), an event of fundamental importance Universe-wide. The physical properties of massive stars before the SN event are very uncertain, both from theoretical and observational perspectives. In this article, I briefly review recent efforts to predict the nature of stars before death, in particular, by performing coupled stellar evolution and atmosphere modelling of single stars in the pre-SN stage. These models are able to predict the high-resolution spectrum and broadband photometry, which can then be directly compared with the observations of core-collapse SN progenitors. The predictions for the spectral types of massive stars before death can be surprising. Depending on the initial mass and rotation, single star models indicate that massive stars die as red supergiants, yellow hypergiants, luminous blue variables and Wolf–Rayet stars of the WN and WO subtypes. I finish by assessing the detectability of SN Ibc progenitors. This article is part of the themed issue 'Bridging the gap: from massive stars to supernovae'.
- Is Part Of:
- Philosophical transactions. Volume 375:Number 2105(2017)
- Journal:
- Philosophical transactions
- Issue:
- Volume 375:Number 2105(2017)
- Issue Display:
- Volume 375, Issue 2105 (2017)
- Year:
- 2017
- Volume:
- 375
- Issue:
- 2105
- Issue Sort Value:
- 2017-0375-2105-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-10-28
- Subjects:
- supernova -- stellar evolution -- massive stars -- mass loss -- radiative transfer -- spectroscopic analysis
Physical sciences -- Periodicals
Engineering -- Periodicals
Mathematics -- Periodicals
500 - Journal URLs:
- https://royalsocietypublishing.org/loi/rsta ↗
- DOI:
- 10.1098/rsta.2017.0219 ↗
- Languages:
- English
- ISSNs:
- 1364-503X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 25066.xml