2017
DOI: 10.1051/0004-6361/201629446
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Uncertainties in the solar photospheric oxygen abundance

Abstract: Aims. The purpose of this work is to better understand the confidence limits of the photospheric solar oxygen abundance derived from three-dimensional models using the forbidden [OI] line at 6300 Å, including correlations with other parameters involved. Methods. We worked with a three-dimensional empirical model and two solar intensity atlases. We employed Bayesian inference as a tool to determine the most probable value for the solar oxygen abundance given the model chosen. We considered a number of error sou… Show more

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Cited by 6 publications
(5 citation statements)
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“…In summary, our currently recommended value for the oxygen abundance based on the results of this work is that from the hierarchical model in which both granules and lanes are considered together, which gives log( O ) = 8.80 ± 0.03. This value is compatible with the results obtained by Grevesse & Sauval (1998) and the results that we achieved in a previous work (see Cubas Armas et al 2017). Therefore, we infer an oxygen abundance comparable with the old high-Z abundances (see e.g., Grevesse & Sauval 1998).…”
Section: Hierarchical Partial Pooling Modelsupporting
confidence: 93%
See 3 more Smart Citations
“…In summary, our currently recommended value for the oxygen abundance based on the results of this work is that from the hierarchical model in which both granules and lanes are considered together, which gives log( O ) = 8.80 ± 0.03. This value is compatible with the results obtained by Grevesse & Sauval (1998) and the results that we achieved in a previous work (see Cubas Armas et al 2017). Therefore, we infer an oxygen abundance comparable with the old high-Z abundances (see e.g., Grevesse & Sauval 1998).…”
Section: Hierarchical Partial Pooling Modelsupporting
confidence: 93%
“…Cubas Armas et al 2017). Therefore, we infer an oxygen abundance comparable with the old high-Z abundances (see e.g., Grevesse & Sauval 1998).…”
Section: Hierarchical Partial Pooling Modelsupporting
confidence: 58%
See 2 more Smart Citations
“…An extension to using a 1D semi-empirical model atmosphere has recently been presented by Cubas Armas et al (2017Armas et al ( , 2020, who derived a 3D solar model from the spectral inversion of three spatially resolved Fe i lines. They have applied it to the [O i] 630.0 nm line in the Sun to infer log O = 8.80 ± 0.03.…”
Section: Carbon Nitrogen and Oxygenmentioning
confidence: 99%