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Extension of the Asfgrid for correcting asteroseismic large frequency separations

Dennis Stello School of Physics, University of New South Wales, NSW 2052, Australia Sydney Institute for Astronomy (SIfA), School of Physics, University of Sydney, NSW 2006, Australia Stellar Astrophysics Centre, Department of Physics and Astronomy, Aarhus University, DK-8000 Aarhus C, Denmark ARC Centre of Excellence for All Sky Astrophysics in Three Dimensions (ASTRO-3D) Sanjib Sharma Sydney Institute for Astronomy (SIfA), School of Physics, University of Sydney, NSW 2006, Australia ARC Centre of Excellence for All Sky Astrophysics in Three Dimensions (ASTRO-3D)
Abstract

The asteroseismic scaling relation, Δν\Delta\nu ρ0.5\approx\rho^{0.5}, linking a star’s large frequency separation, Δν\Delta\nu, and its mean density, ρ\rho, is not exact. Yet, it provides a very useful way to obtain fundamental stellar properties. Common ways to make the relation more accurate is to apply correction factors to it. Because the corrections depend on stellar properties, such as mass, TeffT_{\mathrm{eff}}, and metallicity, it is customary to interpolate these properties over stellar model grids that include both Δν\Delta\nu, measured from adiabatic frequencies of the models, and the models’ stellar density; hence linking both sides of the scaling relation. A grid and interpolation tool widely used for this purpose, known as Asfgrid, was published by Sharma & Stello (2016). Here, we present a significant extension of Asfgrid to cover higher- and lower-mass stars and to increase the density of grid points, especially in the low-metallicity regime.

stars: fundamental parameters — stars: oscillations — stars: interiors

1

The initial release of the Asfgrid by Sharma & Stello (2016) was published as part of an investigation of the Kepler red giant sample (Sharma et al., 2016). It was therefore made to cover the typical ranges in mass and [Fe/H] of those stars with most grid points concentrated in the parameter range where most Kepler giants were found. Because the community is increasingly studying oscillations in stars in the more extreme ends of the mass-[Fe/H] parameter space we have extended the Asfgrid from its initial 247 grid points in mass-[Fe/H] (see black points in Figure 1) to now having 632 points (black and red points). This extension was mainly made to cover the low-mass stars (0.6<M/M<0.80.6<M/\mathrm{M}_{\odot}<0.8) and to ensure that interpolations become more accurate at low metallicities (3<[Fe/H]<1.4-3<\mathrm{[Fe/H]}<-1.4) where the initial grid was sparse. In addition, we have extended the grid to slightly higher mass (M/M5.5M/\mathrm{M}_{\odot}\leq 5.5) and higher metallicity ([Fe/H] 0.5\leq 0.5) relative to the initial release.

Refer to caption
Figure 1: Grid points in Mass and [Fe/H] of the original grid from Sharma et al. (2016) (black) and our new extension (red).

For the extension we used identical input physics and the same version of MESA (v6950) (Paxton et al., 2011, 2013, 2015) to calculate the stellar models ensuring consistency with the initial grid, which forms part of the final grid. The evolution was terminated at the tip of the asymptotic giant branch. We also used the same version of GYRE (v3.1) (Townsend & Teitler, 2013) with the same settings to calculate the adiabatic frequencies and the White et al. (2011) method to derive Δν\Delta\nu from those frequencies. Further details about the models are given in Sharma et al. (2016, section 2.3).

Like the initial release, the two main things that Asfgrid can estimate are:

  • Asteroseismic frequencies νmax\nu_{\mathrm{max}} and Δν\Delta\nu and the correction factor fΔνf_{\Delta\nu}: These are estimated from surface gravity (logg\log g), effective temperature (TeffT_{\mathrm{eff}}), metallicity (ZZ), and mass (MM). The interpolation is done over the model grid in ZZ, MM, evolution state (EstateE_{\rm state}), and γ\gamma, where

    γ=log(Teff)+0.01logg[tanh(logg4.50.25)+1]12.\gamma=\log(T_{\rm eff})+0.01\log g\left[\tanh\left(\frac{\log g-4.5}{0.25}\right)+1\right]\frac{1}{2}. (1)

    We introduce γ\gamma because we ideally want to interpolate the stellar properties over age. However, age is not an observable, while TeffT_{\rm eff} and logg\log g, which are observables, are not monotonic with age. Hence, γ\gamma is designed to be roughly monotonic with age. The correction factor, fΔνf_{\Delta\nu}, is estimated alongside using the relation

    fΔν\displaystyle f_{\Delta\nu} =\displaystyle= Δν135.1μHz(ρρ)1/2\displaystyle\frac{\Delta\nu}{135.1\ \mu{\rm Hz}}\left(\frac{\rho}{\rho_{\odot}}\right)^{-1/2} (2)
    =\displaystyle= Δν135.1μHz(gg)3/4(MM)1/4\displaystyle\frac{\Delta\nu}{135.1\ \mu{\rm Hz}}\left(\frac{g}{g_{\odot}}\right)^{-3/4}\left(\frac{M}{{\rm M}_{\odot}}\right)^{1/4} (3)
  • Stellar mass MM and radius RR: They are estimated from TeffT_{\mathrm{eff}}, ZZ, νmax\nu_{\mathrm{max}}, and Δν\Delta\nu. The interpolation is done over the grid in ZZ, MseismicM_{\rm seismic}, EstateE_{\rm state}, and γ\gamma, where

    Mseismic\displaystyle M_{\rm seismic} =\displaystyle= (gg)3(ΔνΔν)4Mwith\displaystyle\left(\frac{g}{g_{\odot}}\right)^{3}\left(\frac{\Delta\nu}{\Delta\nu_{\odot}}\right)^{-4}{\rm M}_{\odot}\ {\rm with} (4)
    g\displaystyle g =\displaystyle= g(νmaxνmax,)(TeffTeff,)1/2\displaystyle g_{\odot}\left(\frac{\nu_{\rm max}}{\nu_{{\rm max},\odot}}\right)\left(\frac{T_{\rm eff}}{T_{{\rm eff},\odot}}\right)^{1/2} (5)

    The following solar reference values are used, g=4.43796cms2g_{\odot}=4.43796\ {\rm cm\ s^{-2}}, Teff,=5777KT_{{\rm eff},\odot}=5777\ {\rm K}, Δν=135.1μHz\Delta\nu_{\odot}=135.1\ \mu{\rm Hz}, νmax,=3090μHz\nu_{{\rm max},\odot}=3090\ \mu{\rm Hz}.

The new extended grid, along with the interpolation code, can be accessed at http://www.physics.usyd.edu.au/k2gap/Asfgrid/. If you use the extended Asfgrid (v0.0.6) for your research, we kindly ask you to cite both Sharma et al. (2016) and this Research Note.

References

  • Paxton et al. (2011) Paxton, B., Bildsten, L., Dotter, A., et al. 2011, ApJS, 192, 3, doi: 10.1088/0067-0049/192/1/3
  • Paxton et al. (2013) Paxton, B., Cantiello, M., Arras, P., et al. 2013, ApJS, 208, 4, doi: 10.1088/0067-0049/208/1/4
  • Paxton et al. (2015) Paxton, B., Marchant, P., Schwab, J., et al. 2015, ApJS, 220, 15, doi: 10.1088/0067-0049/220/1/15
  • Sharma & Stello (2016) Sharma, S., & Stello, D. 2016, Asfgrid: Asteroseismic parameters for a star, Astrophysics Source Code Library, record ascl:1603.009. http://ascl.net/1603.009
  • Sharma et al. (2016) Sharma, S., Stello, D., Bland-Hawthorn, J., Huber, D., & Bedding, T. R. 2016, ApJ, 822, 15, doi: 10.3847/0004-637X/822/1/15
  • Townsend & Teitler (2013) Townsend, R. H. D., & Teitler, S. A. 2013, MNRAS, 435, 3406, doi: 10.1093/mnras/stt1533
  • White et al. (2011) White, T. R., Bedding, T. R., Stello, D., et al. 2011, ApJ, 743, 161, doi: 10.1088/0004-637X/743/2/161