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AGB population as probes of galaxy structure and evolution

Published online by Cambridge University Press:  30 December 2019

Atefeh Javadi  and
Jacco Th. van Loon
Atefeh Javadi
Affiliation:
School of Astronomy, Institute for Research in Fundamental Sciences (IPM), P.O. Box 19395-5531, Tehran, Iran email: [email protected]
Jacco Th. van Loon
Affiliation:
Lennard-Jones Laboratories, Keele University, ST5 5BG, UK email: [email protected]
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Abstract

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The evolution of galaxies is driven by the birth and death of stars. AGB stars are at the end points of their evolution and therefore their luminosities directly reflect their birth mass; this enables us to reconstruct the star formation history. These cool stars also produce dust grains that play an important role in the temperature regulation of the interstellar medium (ISM), chemistry, and the formation of planets. These stars can be resolved in all of the nearby galaxies. Therefore, the Local Group of galaxies offers us a superb near-field cosmology site. Here we can reconstruct the formation histories, and probe the structure and dynamics, of spiral galaxies, of the many dwarf satellite galaxies surrounding the Milky Way and Andromeda, and of isolated dwarf galaxies. It also offers a variety of environments in which to study the detailed processes of galaxy evolution through studying the mass-loss mechanism and dust production by cool evolved stars. In this paper, I will first review our recent efforts to identify mass-losing Asymptotic Giant Branch (AGB) stars and red supergiants (RSGs) in Local Group galaxies and to correlate spatial distributions of the AGB stars of different mass with galactic structures. Then, I will outline our methodology to reconstruct the star formation histories using variable pulsating AGB stars and RSGs and present the results for rates of mass–loss and dust production by pulsating AGB stars and their analysis in terms of stellar evolution and galaxy evolution.

Keywords

stars: luminosity functionmass functionstars: AGB and post–AGBstars:mass–lossgalaxies: evolutiongalaxies: individual: M 33galaxies: spiralgalaxies: dwarfgalaxies: stellar contentgalaxies: structure
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 14 , Symposium S343: Why Galaxies Care About AGB Stars: A Continuing Challenge through Cosmic Time , August 2018 , pp. 283 - 290
Copyright
© International Astronomical Union 2019 

References

Boyer, M. L., McQuinn, K. B. W., Barmby, P., Bonanos, A. Z., Gehrz, R. D., Gordon, K. D., Groenewegen, M. A. T., et al. 2015a, ApJS, 216, 10 CrossRefGoogle Scholar
Boyer, M. L., McQuinn, K. B. W., Barmby, P., Bonanos, A. Z., Gehrz, R. D., Gordon, K. D., Groenewegen, M. A. T., et al. 2015b, ApJS, 800, 51 CrossRefGoogle Scholar
Hamedani Golshan, R., Javadi, A., van Loon, J.Th., Khosroshahi, H., & Saremi, E. 2017, MNRAS, 466, 1764 CrossRefGoogle Scholar
Hashemi, S. A., Javadi, A., & van Loon, J. Th. 2018, MNRAS, submittedGoogle Scholar
Ivezić, Ž, & Elitzur, M. 1997, MNRAS, 287, 799 CrossRefGoogle Scholar
Javadi, A., van Loon, J. Th., & Mirtorabi, M.T. 2010, MNRAS, 411, 263 CrossRefGoogle Scholar
Javadi, A., van Loon, J. Th., & Mirtorabi, M.T. 2011a, ASPC, 445, 497 Google Scholar
Javadi, A., van Loon, J. Th., & Mirtorabi, M.T. 2011b, MNRAS, 414, 3394 CrossRefGoogle Scholar
Javadi, A., van Loon, J. Th., Khosroshahi, H., & Mirtorabi, M.T. 2013, MNRAS, 432, 2824 CrossRefGoogle Scholar
Javadi, A., Saberi, M., van Loon, J. Th., Khosroshahi, H., Golabatooni, N., & Mirtorabi, M.T. 2015, MNRAS, 447, 3973 CrossRefGoogle Scholar
Javadi, A., van Loon, J. Th., Khosroshahi, H., Tabatabaei, F., Hamedani Golshan, R., & Rashidi, M. 2017, MNRAS, 464, 2103 CrossRefGoogle Scholar
Marigo, P., Girardi, L., Bressan, A., Groenewegen, M. A. T., Silva, L., & Granato, G. L. 2008, A&A, 482, 883 Google Scholar
McDonald, I., & Zijlstra, A. A. 2016, ApJ, 823, 38 CrossRefGoogle Scholar
Montiel, E. J., Srinivasan, S., Clayton, G. C., Engelbracht, C. W., & Johnson, C. B. 2015, AJ, 149, 57 CrossRefGoogle Scholar
Rezaeikh, S., Javadi, A., Khosroshahi, H., & van Loon, J.Th. 2014, MNRAS, 445, 2214 CrossRefGoogle Scholar
Saremi, E., Javadi, A., van Loon, J. Th., Khosroshahi, H., Abedi, A., Bamber, J., Hashemi, S. A., Nikzat, F., & Molaei Nezhad, A. 2017, JPhCS, 869, 2068 Google Scholar
van Loon, J. Th., Cohen, M., Oliveira, J. M., Matsuura, M., McDonald, I., Sloan, G. C., Wood, P. R., & Zijlstra, A. A. 2008, A&A, 487, 1055 Google Scholar
Weisz, D. R., Dolphin, A. E., Skillman, E. D., Holtzman, J., Gilbert, K. M., Dalcanton, J. J., & Williams, B. F. 2015, ApJ, 804, 136 CrossRefGoogle Scholar
Whitelock, P. A., Menzies, J. W., Feast, M. W., & Marigo, P. 2018, MNRAS, 473, 173 CrossRefGoogle Scholar
Yuan, W., Macri, L. M., Javadi, A., Lin, Z., & Huang, J. Z. 2018, AJ, 156, 112 CrossRefGoogle Scholar