Constraining Solar Core Rotation with Genetic Forward Modelling

We present a technique which uses forward modelling in conjunction with a genetic algorithm to nd the internal rotation proole which best reproduces a set of input frequency splittings. The genetic algorithm provides an eecient and robust method for global optimization. We evaluate the ability of this technique to determine the rotation proole in the solar core by applying it to artiicial datasets. In addition, we apply this technique to real data from the LOWL instrument. 1. INTRODUCTION Recently, the LOWL instrument (Tomczyk et al., 1995a, 1995b) has begun providing high precision measurements of the frequency splittings of low-and intermediate-degree solar p-mode oscillations. The availability of this data has motivated the development of new techniques which allow the eecient extraction of information about internal rotation from the frequency splittings to complement existing inversion techniques. This study represents the synthesis of three elements: the LOWL frequency splittings, a forward model, and a genetic algorithm. The LOWL frequency split-tings (Tomczyk et al., 1995b; Schou et al., these proceedings) have been described elsewhere and will not be discussed in detail here. The forward model (Schou et al., 1994) is described brieey in the next section, and a description of the genetic algorithm follows in section 3.