On the Red Giant Branch: Ambiguity in the Surface Boundary Condition Leads to ~100 K Uncertainty in Model Effective Temperatures
Jieun Choi, Aaron Dotter, Charlie Conroy, and Yuan-Sen Ting

TL;DR
This study demonstrates that the treatment of the surface boundary condition in stellar models causes approximately 100 K uncertainty in the effective temperature predictions along the red giant branch, affecting model reliability.
Contribution
The paper reveals how different surface boundary conditions in stellar models lead to significant temperature offsets, highlighting a key source of uncertainty in RGB stellar modeling.
Findings
Surface boundary condition choice causes ±100 K Teff offsets.
Teff predictions are sensitive to optical depth at boundary application.
Systematic uncertainties limit model fidelity assessments.
Abstract
The effective temperature (Teff) distribution of stellar evolution models along the red giant branch (RGB) is sensitive to a number of parameters including the overall metallicity, elemental abundance patterns, the efficiency of convection, and the treatment of the surface boundary condition. Recently there has been interest in using observational estimates of the RGB Teff to place constraints on the mixing length parameter, a_MLT, and possible variation with metallicity. Here we use 1D MESA stellar evolution models to explore the sensitivity of the RGB Teff to the treatment of the surface boundary condition. We find that different surface boundary conditions can lead to +/- 100 K metallicity-dependent offsets on the RGB relative to one another in spite of the fact that all models can reproduce the properties of the Sun. Moreover, for a given atmosphere T-tau relation, we find that the…
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