Volume 375, Number 1, August III 2001
|Page(s)||149 - 154|
|Section||Interstellar and circumstellar matter|
|Published online||15 August 2001|
Lithium as a passive tracer probing the rotating solar tachocline turbulence
Astrophysikalisches Institut Potsdam, An der Sternwarte 16, 14482 Potsdam, Germany
2 Department of Mathematics, University of Newcastle upon Tyne, NE1 7RU, UK
3 Institute for Solar-Terrestrial Physics, PO Box 4026, Irkutsk 664033, Russia
Corresponding author: G. Rüdiger, firstname.lastname@example.org
Accepted: 7 June 2001
The rotational influence on the eddy-diffusivity tensor Dij for anisotropic turbulence fields is considered in order to explain the lithium decay law during the spin-down process of solar-type stars. Rotation proves to be highly effective in the transfer of chemicals through the solar tachocline (beneath the convection zone) which is assumed to contain only turbulence with horizontal motions. The effect is so strong that the tachocline turbulence must not exceed a limit of of the rms velocity in the convection zone in order to let the lithium survive after Gigayears. Such long depletion times can also be explained by a very small rotational influence upon the eddy-diffusion tensor if it is realized with correlation times shorter than 15 min. It is argued that such slow and/or short-living turbulence beneath the convection zone could hardly drive the solar dynamo. In our theory the diffusion remains small for rapid rotation due to the rotational quenching of the turbulence. In young stellar clusters like Pleiades, there should be a (positive) correlation between rotation rate and lithium abundance, where the fastest stars should have maximal lithium. First inspections of the data seem to confirm this finding.
Key words: turbulence / stars: abundances / stars: rotation
© ESO, 2001
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.