ON THE INFERENCE OF THE SOLAR INTERNAL-ROTATION PROFILE FROM FREQUENCY-SPLITTING DATA

Citation
Pr. Wilson et al., ON THE INFERENCE OF THE SOLAR INTERNAL-ROTATION PROFILE FROM FREQUENCY-SPLITTING DATA, The Astrophysical journal, 470(1), 1996, pp. 621-628
Citations number
19
Categorie Soggetti
Astronomy & Astrophysics
Journal title
ISSN journal
0004637X
Volume
470
Issue
1
Year of publication
1996
Part
1
Pages
621 - 628
Database
ISI
SICI code
0004-637X(1996)470:1<621:OTIOTS>2.0.ZU;2-P
Abstract
From the earliest helioseismology data it was inferred that the intern al angular velocity of the Sun is invariant across the convection zone (i.e., it mimics the surface differential rotation). This result caus ed some concern to theoreticians since many dynamo and dynamical model s of the convection zone require that the angular velocity be approxim ately constant on cylinders concentric about the rotation axis. Stark and others have argued that in order to test models of the angular vel ocity against frequency-splitting data the uncertainties in these data must be magnified, and it is shown here that within these uncertainti es it is indeed difficult to exclude some models in which the angular velocity is independent of radius across a region including the convec tion zone and some depths below it. Further, Gough and his colleagues have recently claimed that the currently available data are not incons istent with some models for which the angular velocity is constant on cylinders within the Sun's convection zone. Thus, inferences from freq uency-splitting data regarding the internal angular velocity of the Su n would seem to be somewhat uncertain. In this paper, these uncertaint ies are discussed and an alternative approach is proposed in which a f orward method is used to find the simplest model for the angular veloc ity (i.e., with the least positional variations) consistent with the d ata, including the quoted uncertainties. While it is not claimed that such a model represents the true angular velocity, its features may be said to ''characterize'' the essential properties of a particular dat a set.