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Empirical H- and K-band Limb Darkening for 31 CHARA Stars: A Near-infrared Benchmark for Stellar-Atmosphere Models

  • Authors: Narsireddy Anugu, John D. Monnier, Antoine Mérand, Becky Flores, Alexandre Gallenne, Douglas R. Gies, Mayra Gutierrez, Robert Klement, Stefan Kraus, Jayadev Rajagopal, Rachael M. Roettenbacher, Gail H. Schaefer

Narsireddy Anugu et al 2026 The Astronomical Journal 172 .

  • Provider: AAS Journals

Caption: Figure 4.

CHARA power-law coefficients compared with intensity-domain coefficients predicted by the atmosphere-model grids. Top: H-band coefficients, αH and ﹩{\alpha }_{I,H}^{g}﹩, as a function of Teff (left), and K-band coefficients, αK and ﹩{\alpha }_{I,K}^{g}﹩, as a function of Teff (right). Filled colored circles show the empirical CHARA V2 fit coefficients, color-coded by Teff, while open symbols and gray curves show the corresponding model predictions from Stagger, Kurucz, MPS1, MPS2, and SATLAS. Bottom: fractional offsets of the empirical CHARA coefficients relative to the MPS2 intensity-domain predictions, shown as ﹩100({\alpha }_{b}-{\alpha }_{I,b}^{{\rm{MPS2}}})/{\alpha }_{I,b}^{{\rm{MPS2}}}﹩, with b ∈ {HK} and CHARA 1σ error bars. Apparent discontinuities in some model tracks reflect edge-limited grid coverage for parts of the target sample. The limitations differ by grid: Stagger is limited for the coolest targets and some low-gravity/metal-rich stars, Kurucz and MPS1/MPS2 are mainly limited by their high-﹩\mathrm{log}g﹩ coverage for evolved stars, and SATLAS assumes solar composition (Table 3).

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