ariadne: measuring accurate and precise stellar parameters through SED fitting
Effective temperature
Spectral energy distribution
DOI:
10.1093/mnras/stac956
Publication Date:
2022-04-07T14:24:17Z
AUTHORS (2)
ABSTRACT
Accurately measuring stellar parameters is a key goal to increase our understanding of the observable universe. However, current methods are limited by many factors, in particular, biases and physical assumptions that basis for underlying evolutionary or atmospheric models, those these rely upon. Here we introduce code spectrAl eneRgy dIstribution bAyesian moDel averagiNg fittEr (ARIADNE), which tackles this problem using Bayesian Model Averaging incorporate information from all models arrive at accurate precise values. This uses spectral energy distribution fitting methods, combined with Gaia distances, measure temperature, log g, [Fe/H], A$_{\text V}$, radius star. When compared interferometrically measured radii ARIADNE produces values excellent agreement across wide range parameters, mean fractional difference only 0.001 $\pm$ 0.070. We currently six different some cases find significant offsets between them, reaching differences up 550 K 0.6 R$_\odot$ temperature radius, respectively. For example, such would give rise planetary 60%, negating homogeneity when combining results models. also trend stars smaller than 0.4-0.5 R$_\odot$, shows more work needs be done better model stars, even though overall extent within uncertainties interferometric measurements. advocate use provide improved bulk nearby A M dwarfs future studies.
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