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Modelling dust production in AGB stars

Published online by Cambridge University Press:  08 August 2017

Flavia Dell’Agli*
Affiliation:
Instituto de Astrofísica de Canarias, Vía Láctea s/n, E-38200 La Laguna, Tenerife, Spain Departamento de Astrofísica, Universidad de La Laguna (ULL), E-38206 La Laguna, Spain Dipartimento di Fisica, Università di Roma “La Sapienza”, P.le Aldo Moro 5, 00143, Roma, Italy
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Abstract

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Asymptotic giant branch (AGB) stars are among the most important gas and dust polluters of the Universe. The latest AGB evolutionary models take into account dust production in the circumstellar envelope of these stars, starting from a detailed computation of the main physical processes and chemical surface variations occurring in this evolutionary phase. Following the formation and growth of dust particles, they provide the unique possibility of interpreting the AGB population observed in resolved galaxies. The first application was for the Spitzer observations of dusty AGBs in the Magellanic Clouds, characterising carbon-rich and oxygen-rich stars in terms of initial mass, epoch of star formation, evolutionary time on the AGB and dust contribution. The same set of models are able to interpret the CNO surface abundances observed for the PNe of the same galaxies.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2017 

References

Boyer, M. L., et al., 2011, AJ, 142, 103 et al. 2014a, MNRAS, 442, L38 Google Scholar
Dell’Agli, F., Ventura, P., Schneider, R., Di Criscienzo, M., et al. 2015a, MNRAS, 447, 2992 Google Scholar
Dell’Agli, F., Ventura, P., García-Hernández, D. A., Schneider, R. et al., 2015b, MNRAS, 454, 4235 Google Scholar
Ferrarotti, A. D. & Gail, H. P., 2006, A&A, 553, 576 Google Scholar
Harris, J., Zaritsky, D., 2004, AJ, 127, 1531 CrossRefGoogle Scholar
Harris, J., Zaritsky, D., 2009, ApJ, 138, 1243 Google Scholar
Mazzitelli, I., D’Antona, F., & Ventura, P., 1999, A&A, 348, 846 Google Scholar
Nenkova, M., Ivezic, Z., & Elitzur, M., 1999, in LPIContributions 969, 20Google Scholar
Riebel, D., Srinivasan, S., Sargent, B., Meixner, M., 2012, AJ, 753, 71 Google Scholar
Ventura, P., Dell’Agli, F., Di Criscienzo, M., Schneider, R., et al., 2014a, MNRAS, 439, 977 CrossRefGoogle Scholar
Ventura, P., Stanghellini, L., Dell’Agli, F., García-Hernández, D. A., Di Criscienzo, M., 2015, MNRAS, 452, 3679 CrossRefGoogle Scholar
Ventura, P., Stanghellini, L., Di Criscienzo, M., García-Hernández, D. A., Dell’Agli, F., 2015, MNRAS, 460, 3940 CrossRefGoogle Scholar