The DOI matches its Crossref record; 163 of the 163 references it cites were found in a registry or an index.
Towards an understanding of Type Ia supernovae from a synthesis of theory and observations
Open accessAbstract
Motivated by the fact that calibrated light curves of Type Ia supernovae (SNe Ia) have become a major tool to determine the expansion history of the Universe, considerable attention has been given to, both, observations and models of these events over the past 15 years. Here, we summarize new observational constraints, address recent progress in modeling Type Ia supernovae by means of three-dimensional hydrodynamic simulations, and discuss several of the still open questions. It will be be shown that the new models have considerable predictive power which allows us to study observable properties such as light curves and spectra without adjustable non-physical parameters. This is a necessary requisite to improve our understanding of the explosion mechanism and to settle the question of the applicability of SNe Ia as distance indicators for cosmology. We explore the capabilities of the models by comparing them with observations and we show how such models can be applied to study the origin of the diversity of SNe Ia.
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Cites
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SPECTRAL PROPERTIES OF COOL STARS: EXTENDED ABUNDANCE ANALYSIS OF 1,617 PLANET-SEARCH STARS
Brewer, J. M., Fischer, D. A., Valenti, J. A., & Piskunov, N. (2016) · The Astrophysical Journal Supplement Series · doi:10.3847/0067-0049/225/2/32 · Cited by 353
Metadata
- Authors
- Hillebrandt, W., Kromer, M., Röpke, F. K., & Ruiter, A. J.
- Venue
- Frontiers of Physics
- Published
- 2013-04
- Volume
- 8
- Issue
- 2
- Pages
- 116-143
- ISSN
- 2095-0462 (ISSN-L)
- 2095-0470
- OpenAlex
- W2003685212
- Cited by
- 289
- References
- 163
- FWCI
- 16.41
- Type
- journal article
- Language
- en
- Open access
- green
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- Hillebrandt, W., Kromer, M., Röpke, F. K., & Ruiter, A. J. (2013). Towards an understanding of Type Ia supernovae from a synthesis of theory and observations. Frontiers of Physics. https://doi.org/10.1007/s11467-013-0303-2
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.