Uncertainties for Twodimensional Models of Solar Rotation from Helioseismic Eigenfrequency Splitting
Abstract
Observed solar pmode frequency splittings can be used to estimate angular velocity as a function of position in the solar interior. Formal uncertainties of such estimates depend on the method of estimation (e.g., leastsquares), the distribution of errors in the observations, and the parameterization imposed on the angular velocity. We obtain lower bounds on the uncertainties that do not depend on the method of estimation; the bounds depend on an assumed parameterization, but the fact that they are lower bounds for the 'true' uncertainty does not. Ninetyfive percent confidence intervals for estimates of the angular velocity from 1986 Big Bear Solar Observatory (BBSO) data, based on a 3659 element tensorproduct cubicspline parameterization, are everywhere wider than 120 nHz, and exceed 60,000 nHz near the core. When compared with estimates of the solar rotation, these bounds reveal that useful inferences based on pointwise estimates of the angular velocity using 1986 BBSO splitting data are not feasible over most of the Sun's volume. The discouraging size of the uncertainties is due principally to the fact that helioseismic measurements are insensitive to changes in the angular velocity at individual points, so estimates of point values based on splittings are extremely uncertain. Functionals that measure distributed 'smooth' properties are, in general, better constrained than estimates of the rotation at a point. For example, the uncertainties in estimated differences of average rotation between adjacent blocks of about 0.001 solar volumes across the base of the convective zone are much smaller, and one of several estimated differences we compute appears significant at the 95% level.
 Publication:

The Astrophysical Journal
 Pub Date:
 April 1995
 DOI:
 10.1086/175574
 Bibcode:
 1995ApJ...443..843G
 Keywords:

 Angular Velocity;
 Eigenvalues;
 Error Analysis;
 Helioseismology;
 Solar Interior;
 Solar Oscillations;
 Solar Rotation;
 Splitting;
 Stellar Models;
 Confidence;
 Data Reduction;
 P Waves;
 Parameterization;
 Solar Observatories;
 Spline Functions;
 Tensor Analysis;
 Solar Physics;
 METHODS: DATA ANALYSIS;
 METHODS: STATISTICAL;
 SUN: ACTIVITY;
 SUN: OSCILLATIONS;
 SUN: ROTATION