Linearity of Structure Kernels in Main-sequence and Subgiant Solar-like Oscillators

TL;DR

This paper evaluates the validity of structure inversion techniques for solar-like oscillators, finding they work well for main-sequence stars but face challenges with subgiants due to mixed modes.

Contribution

It demonstrates the limitations of current structure inversion methods for subgiant stars with mixed modes and suggests the need for improved techniques.

Findings

Reliable inversions for main-sequence stars across various masses.

Difficulty in recovering structure differences in subgiants due to mixed modes.

Highlighting the necessity for improved inversion methods for subgiant stars.

Abstract

Seismic structure inversions have been used to study the solar interior for decades. With the high-precision frequencies obtained using data from the Kepler mission, it has now become possible to study other solar-like oscillators using structure inversions, including both main-sequence and subgiant stars. Subgiant stars are particularly interesting because they exhibit modes of mixed acoustic-buoyancy nature, which provide the opportunity to probe the deeper region of stellar cores. This work examines whether the structure inversion techniques developed for the pure acoustic modes of the Sun and other main-sequence stars are still valid for mixed modes observed in subgiant stars. We construct two grids of models: one of main-sequence stars and one of early subgiant stars. Using these grids, we examine two different parts of the inversion procedure. First, we examine what we call the "kernel errors", which measure how well the mode sensitivity functions can recover known frequency differences between two models. Second, we test how these kernel errors affect the ability of an inversion to infer known structure differences. On the main sequence, we find that reliable structure inversion results can be obtained across the entire range of masses and large frequency separations we consider. On the subgiant branch, however, the rapid evolution of mixed modes leads to large kernel errors and hence difficulty recovering known structure differences. Our tests show that using mixed modes to infer the structure of subgiant stars reliably will require improvements to current fitting approaches and modifications to the structure inversion techniques.