Resolving Power of Asteroseismic Inversion of the Kepler Legacy Sample
Abstract
The Kepler Asteroseismic Legacy Project provided frequencies, separation ratios, error estimates, and covariance matrices for 66 Kepler main sequence targets. Most of the previous analysis of these data was focused on fitting standard stellar models. We present results of direct asteroseismic inversions using the method of optimally localized averages (OLA), which effectively eliminates the surface effects and attempts to resolve the stellar core structure. The inversions are presented for various structure properties, including the density stratification and sound speed. The results show that the mixed modes observed in post-main sequence F-type stars allow us to resolve the stellar core structure and reveal significant deviations from the evolutionary models obtained by the grid-fitting procedure to match the observed oscillation frequencies.
keywords:
stars: interiors, stars: late-type, stars: oscillations, methods: data analysis, stars: individual (KIC 10162436, KIC 5773345)1 Introduction
The Kepler mission (Borucki et al., 2010) provided a wealth of stellar oscillation data enabling asteroseismic investigation of the internal structure and rotation of many stars across the HR diagram. A primary tool of asteroseismology employed for interpretation of observed oscillation frequencies used a method of grids of stellar models. In this method, the asteroseismic calibration of stellar models is performed by matching the observed oscillation frequencies to theoretical mode frequencies calculated for a grid of standard evolutionary models. In combination with spectroscopic constraints, this approach provided estimates of stellar radius, composition, and age with unprecedented precision (see Chaplin et al., 2010; Metcalfe et al., 2010, and referencies therein). In addition, the high accuracy measurements of oscillation frequencies opened a new opportunity for asteroseismic inversions which allows us to reconstruct the internal structure and test evolutionary stellar models. A similar approach has been used in helioseismology for more than two decades.
A specific feature of asteroseismology data is that only low-degree oscillations can be observed, typically for modes of spherical harmonic degrees, , and sometimes, . In this situation, only the structure of stellar cores can be resolved by inversion techniques. An additional difficulty is caused by uncertainties in the mass and radius of distant stars. Gough and Kosovichev (1993a) showed that this difficulty can be overcome by an additional condition in the inversion procedure, which constraints the frequency scaling factor, , where and are the stellar mass and radius. They showed that if the low- mode frequencies are measured with precision of Hz then the structure of the stellar core can reconstructed even when the stellar mass and radius are not known. When the measurement precision is relatively low (e.g. Hz), the localization of the inversion accuracy is degraded. For such cases, Gough and Kosovichev (1993b) suggested a procedure of calibration of the averaging kernels to estimate averaged properties of the stellar core. The effectiveness of this procedure was demonstrated by applying it to the low-degree solar oscillation frequencies observed by the IPHIR instrument that measured the total solar irradiance onboard the PHOBOS spacecraft(Toutain and Froehlich, 1992). For analysis of the Kepler asteroseismology data, the inversion technique has been recently used by Bellinger et al. (2019), and the kernel calibration method was applied by Buldgen et al. (2017) to estimate integrated properties of stellar structure.
KIC | M/M⊙ | lg(R/R⊙) | Age(Gyr) | lg(L/L⊙) | Ysurf | Zsurf | Teff | alpha |
7206837 | 1.298 | 0.1980 | 2.90 | 0.5523 | 0.2800 | 0.0220 | 6320 | 1.791 |
1435467 | 1.382 | 0.2436 | 2.56 | 0.6694 | 0.2637 | 0.0197 | 6414 | 1.692 |
10162436 | 1.461 | 0.3082 | 2.51 | 0.8110 | 0.2460 | 0.0173 | 6494 | 1.684 |
9353712 | 1.516 | 0.3261 | 2.03 | 0.9008 | 0.2603 | 0.0180 | 6665 | 1.713 |
5773345 | 1.579 | 0.3074 | 2.07 | 0.7931 | 0.2593 | 0.0306 | 6400 | 1.715 |
12069127 | 1.588 | 0.3403 | 1.76 | 0.9385 | 0.2669 | 0.0216 | 6700 | 1.672 |
In this paper, we show that the detection of mixed modes in the oscillation spectra of F-type stars allows us to resolve the structure of the inner stellar cores. The mixed modes have properties of internal gravity waves (g-modes) in the convectively stable helium core and properties of acoustic modes outside the core. The oscillation frequencies of these modes may be quite sensitive to the properties of the core. Including them in the inversion procedure allows us to localize the averaging kernels in the core region. This opens a unique opportunity for testing the stellar evolution theory for subgiant stars where the energy release is in a hydrogen shell surrounding a helium core.
2 Target selection. Evolutionary models.
From the Kepler Asteroseismic Legacy Sample (Silva Aguirre et al., 2017) we selected 6 stars in the mass range from about 1.3 to 1.6 solar masses, and, using the MESA stellar evolutionary code (Paxton et al., 2011), we calculated models of the internal structure, matching as close as possible the stellar parameters determined by grid fitting methods. Specifically, we chose the stellar mass, chemical composition, and the mixing parameter from the grid pipeline YMCM (Silva Aguirre et al., 2015) and evolved starting from a pre-main sequence phase to the age estimated from the grid fitted models. Basic parameters of the calculated models are shown in Table 1.

In this paper, we present results for two models: KIC 10162436 and KIC 5773345, the radial profiles of the density, sound speed, and Brunt-Väisäilä frequency are shown in Figure 1. The Brunt-Väisäilä frequency displays a sharp peak at the helium core outer boundary, located at about in KIC 10162436, and at in KIC 577334.
Figure 2 shows the difference between the observed and modeled frequencies plotted as a function of the radius of the acoustic inner turning points, , calculated from the asymptotic relation: , where is the sound-speed profile, is the angular degree, and is the mode frequency. The acoustic turning points form three branches corresponding to the modes of angular degree and 2. Behavior of the frequency deviations for both models is similar, indicating a systematic difference of the evolutionary models from the real stellar structure.

3 Sensitivity kernels
The acoustic turning points of some modes are located in the stellar core. Nevertheless, the sensitivity of these modes to the core structure is low. Some of the observed low-frequency non-radial modes of and 2 represent mixed acoustic-gravity modes which have properties of internal gravity (g) modes in the stellar cores and acoustic (p) modes outside the core. The oscillation frequencies of these modes are very sensitive to the core properties.

Using explicit formulations for the variational principle, frequency perturbations can be reduced to a system of integral equations for a chosen pair of independent variables; e.g. for :
where and are sensitivity (or ‘seismic’) kernels. These are calculated using the initial solar model parameters, , , , and the oscillation eigenfunctions for these model, (for an explicit formulation, see e.g. Kosovichev, 1999). The sensitivity for various pairs of solar parameters, such the sound speed, Brunt-Väisälä frequency, temperature, and chemical abundances, can be obtained by using the relations among these parameters, which follow from the equations of solar structure (‘stellar evolution theory’). These ‘secondary’ kernels are then used for direct inversion of the various parameters (Gough and Kosovichev, 1988). A general procedure for calculating the sensitivity kernels can be illustrated in operator form (Kosovichev, 2011). Consider two pairs of solar variables, and , e.g.
where is the helium abundance. The linearized structure equations (the hydrostatic equilibrium equation and the equation of state) that relate these variables can be written symbolically as
Let and be the sensitivity kernels for and ; then the frequency perturbation is:
where denotes the inner product. Similarly,
Then from the stellar structure equation :
where is an adjoint operator. Thus: This is valid for any if This means that the equation for the sensitivity kernels is adjoint to the stellar structure equations. An explicit formulation in terms of the stellar structure parameters and mode eigenfunctions was given by Kosovichev (1999).

Examples of the sensitivity kernels to density and helium-abundance deviations for the mixed acoustic-gravity modes of and for KIC 10162436, and KIC 5773345 are shown in Figures 3 and 4, respectively. In the case of KIC 10162436, the sensitivity of the mode frequencies to the density stratification is high in the central core. In the case of KIC 5773345, the sensitivity of the observed mixed modes in the core is not that high but still quite significant. In such cases the mixed oscillation modes open a unique opportunity for probing the stellar cores by direct structure inversion. The sensitivity kernels for helium abundance are concentrated in the helium and hydrogen ionization zones.
4 Inversion procedure
In the inversion procedure it is important to take into account potential systematic uncertainties in the stellar mass and radius. Because the oscillation frequencies are scaled linearly with the factor , then, following (Gough and Kosovichev, 1993a), the mode frequencies can be expressed in terms of their relative small difference from those of a standard reference model of similar mass and radius according to the linearized expression
where , , is the helium abundance, and can be any function of and (Däppen et al., 1991); and are stellar mass and radius, in solar units, and are appropriate kernels, and is an integral over the reference model. In this paper we consider two cases: , and (Dziembowski et al., 1991).
These constraints can provide localized averages of and estimates of and of the kind
by minimizing over the coefficients the functional (Backus and Gilbert, 1968):
for tradeoff parameters , and , where , and are standard relative errors in the data. The tradeoff parameters are chosen empirically, by selecting a sufficiently smooth solution and using the L-curve criterion (Hansen, 1992).

The non-adiabatic frequency shift (aka ‘surface effect’) can be approximated by a smooth function of frequency, scaled with the factor, , where is the mode inertia, and is the mode inertia of radial modes (), calculated at frequency ; that is:
Function can be approximated by a polynomial function of degree (Dziembowski et al., 1990):
where are the Legendre polynomials of degree . Then the influence of nonadiabatic effects is reduced by applying additional constraints for :
5 Inversion results
The inversion results obtained by the Optimally Localized Averaging (OLA) procedure described in the previous section are shown in Figure 5. They show the relative deviations in stellar structure from the evolutionary models of density and parameter as a function of radius for KIC 10162436 and KIC 5773345. Crosses show the center locations the localized averaging kernels, the horizontal bars show the spread of the averaging kernels, and the vertical bars show the uncertainties calculated using the observational error estimates (for the definitions of these properties see, Kosovichev, 1999). It is remarkable that the mixed modes observed in the oscillation spectra of these stars allow us to obtain constraints on the density stratification in the central helium core and the hydrogen-burning shell. The averaging kernels for the parameter (or, equivalently, the sound speed) are localized only outside the core. Therefore, it is very important to choose the pairs of inversion variables that provide the best resolution. These variables can be different for different regions of a star. In our cases only the density inversions provide the optimally localized averaging kernels centered in the stellar cores. The sound-speed inversions are incapable of resolving the core.
For both stars, the inversion results show that the density of the core and the surrounding shell are about 5% higher than in the stellar models, but lower outside the energy-release shell. The boundary of the helium core is located at in KIC 10162436, and at in KIC 5773345. Outside the helium cores, the nuclear energy production shells extend , with the peak rate at in both models. Perhaps these stellar regions involve physical processes that are not described by the evolutionary models. For understanding these deviations it will be beneficial to perform more detailed structure inversion studies for a large sample of post-main sequence stars with hydrogen-burning shells.
6 Conclusion
High accuracy measurements of oscillation frequencies for a large number stars as well as identification of the observed oscillations in terms of normal modes for stellar models by the grid-fitting techniques open possibilities for performing asteroseismic inversions and for testing evolutionary models. The discovery of the oscillation modes with mixed g- and p-mode characteristics in post-main sequence stars allows us to reconstruct the density stratification in the stellar helium cores and hydrogen burning shell.
We applied the previously developed asteroseismic inversion method (Gough and Kosovichev, 1993a) to two F-type stars from the Kepler Asteroseismic Legacy Project (Silva Aguirre et al., 2017) and performed inversions for the density and squared isothermal sound-speed parameter. The background models were calculated using the MESA code, and the mass, composition, and age were previously determined by the model-grid fitting method. The inversion technique takes potential discrepancies in the estimated mass and radius from the actual properties, as well as the potential frequency shifts due non-adiabatic near-surface effects, and constructs optimally localized averaging kernels following the (Backus and Gilbert, 1968) method.
The inversion results for both stars showed that the density in the helium core and the inner part of the hydrogen shell may be about 5% higher than in the evolutionary models, and, in the outer part of the shell, lower. This suggests that the differences may be due to physical processes not described by the evolutionary models. However, more detailed inversion studies for a large sample of stars are needed for quantifying the deviations more precisely.
Acknowledgments. The work was partially supported by the NASA Astrophysics Theory Program and grants: NNX14AB7CG and NNX17AE76A.
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