Statistics – Computation
Scientific paper
Mar 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994a%26a...283..463g&link_type=abstract
Astronomy and Astrophysics (ISSN 0004-6361), vol. 283, no. 2, p. 463-468
Statistics
Computation
38
Asymptotic Giant Branch Stars, Computational Astrophysics, Magellanic Clouds, Planetary Nebulae, Stellar Evolution, Stellar Luminosity, Stellar Models, Stellar Winds, Abundance, Constraints, Mass Transfer, Mathematical Models, Spectral Sensitivity
Scientific paper
In Paper 1 of this series we presented a model to calculate in a synthetic way the evolution of thermal-pulsing asymptotic giant branch (AGB) stars. The model was applied to the large magellanic cloud (LMC) and values were derived for the minimum core mass for third dredge-up and the dredge-up efficiency. In Paper 1 mass loss on the AGB was parameterized with a Reimers mass loss law with a best-fit value for the coefficient etaAGB of 5. In Paper 2 we showed that the best fitting model of Paper 1 could also reproduce the observed abundance patterns in planetary nebulae (PNe) in the LMC, under the assumption that there is no dredge-up after hot bottom burning (HBB) ceases. To investigate the sensitivity of the results in Papers 1 and 2 to the adopted mass loss law we repeat in this paper the analysis of Papers 1 and 2 for two recently proposed mass loss laws, viz. that of Vassiliadis & Wood (1993, VW) and that of Blocker 7 Schoenberner (1993, BS). We find that the BS-law with a scaling factor etaBS = 0.1 fits all observational constraints equally well as the Reimers law. For the VW-law no combination of parameters could be found that fits all constraints simultaneously. This is probably due to the extreme luminosity dependence (M(dot) approximately Lalpha, alpha = 6) implied by the VW-law. We conclude that synthetic AGB models with mass loss laws that are moderately luminosity dependent) 1 less than alpha less than or approximately 4) can be made to fit all presently available observational constraints.
de Jong Teije
Groenewegen Martin A. T.
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