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Polycyclic aromatic hydrocarbon formation in carbon-rich stellar envelopes
Abstract
A detailed chemical kinetic scheme is applied to stellar envelope profiles of gas density and temperature profiles in order to study the formation of PAH molecules in carbon-rich stellar outflows. Chemical concentration profiles are calculated for several envelope models by integrating the coupled continuity equations that include spherically expanding flows from an inner boundary at the shock formation radius. The influence of the 'inverse greenhouse' effect experienced by small PAHs is investigated and shown to increase the PAH yield by many orders of magnitude. It is shown that the route through propargyl radicals could be an important channel to produce benzene. PAH formation yields are found to be extremely sensitive to gas density and temperature and are much smaller than values inferred from the observed dust content of late-type carbon-rich stellar envelopes. It is therefore unlikely that aromatic molecules are generated in the stellar outflow itself.
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Cited by
Carbon molecules in space: from astrochemistry to astrobiology
Ehrenfreund, P., & Sephton, M. A. (2006) · Faraday Discussions · doi:10.1039/b517676j · Cited by 114
Metadata
- Authors
- Cherchneff, I., Barker, J. R., & Tielens, A. G. G. M.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 1992-12
- Volume
- 401
- Pages
- 269
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2086039868
- Cited by
- 349
- References
- 0
- FWCI
- 6.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Polycyclic aromatic hydrocarbon formation in carbon-rich stellar envelopes. https://app.cochat.ai/papers/10.1086/172059
- The paper
- Cherchneff, I., Barker, J. R., & Tielens, A. G. G. M. (1992). Polycyclic aromatic hydrocarbon formation in carbon-rich stellar envelopes. The Astrophysical Journal. https://doi.org/10.1086/172059
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
