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The wind speeds, dust content, and mass-loss rates of evolved AGB and RSG stars at varying metallicity

Goldman, Steven, van Loon, J.Th., Zijlstra, A.A., Green, J.A., Wood, P.R., Nanni, A., Imai, H., Whitelock, P.A., Matsuura, Mikako, Groenewegen, M.A.T. and Gómez, J.F. 2017. The wind speeds, dust content, and mass-loss rates of evolved AGB and RSG stars at varying metallicity. Monthly Notices of the Royal Astronomical Society 465 (1) , pp. 403-433. 10.1093/mnras/stw2708

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Abstract

We present the results of our survey of 1612 MHz circumstellar OH maser emission from asymptotic giant branch (AGB) stars and red supergiants (RSGs) in the Large Magellanic Cloud. We have discovered four new circumstellar maser sources in the LMC, and increased the number of reliable wind speeds from IR stars in the LMC from 5 to 13. Using our new wind speeds, as well as those from Galactic sources, we have derived an updated relation for dust driven winds: vexp / ZL0:4. We compare the sub-solar metallicity LMC OH/IR stars with carefully selected samples of more metal-rich OH/IR stars, also at known distances, in the Galactic Centre and Galactic Bulge. For 8 of the Bulge stars we derive pulsation periods for the first time, using near-IR photometry from the VVV survey. We have modeled our LMC OH/IR stars and developed an empirical method of deriving gas-to-dust ratios and mass loss rates by scaling the models to the results from maser profiles. We have done this also for samples in the Galactic Centre and Bulge and derived a new mass loss prescription that includes luminosity, pulsation period, and gas-to-dust ratio _M = 1:06+3:5

Item Type: Article
Date Type: Publication
Status: Published
Schools: Physics and Astronomy
Subjects: Q Science > QB Astronomy
Q Science > QC Physics
Uncontrolled Keywords: masers – stars: AGB and post-AGB – supergiants – stars: mass-loss – stars: winds, outflows – Magellanic Clouds
Publisher: Oxford University Press
ISSN: 0035-8711
Date of First Compliant Deposit: 19 October 2016
Date of Acceptance: 18 October 2016
Last Modified: 18 Oct 2019 21:10
URI: http://orca.cf.ac.uk/id/eprint/95445

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