4.7 Article

SOLAR ABUNDANCE CORRECTIONS DERIVED THROUGH THREE-DIMENSIONAL MAGNETOCONVECTION SIMULATIONS

期刊

ASTROPHYSICAL JOURNAL
卷 724, 期 2, 页码 1536-1541

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/724/2/1536

关键词

magnetohydrodynamics (MHD); radiative transfer; Sun: abundances; Sun: granulation; Sun: photosphere

资金

  1. European Commission through the SOLAIRE Network [MTRN-CT-2006-035484]
  2. Spanish Ministry of Research and Innovation [AYA2007-66502, CSD2007-00050, AYA2007-63881]
  3. Danish Natural Science Research Council

向作者/读者索取更多资源

We explore the effect of the magnetic field when using realistic three-dimensional convection experiments to determine solar element abundances. By carrying out magnetoconvection simulations with a radiation-hydro code (the Copenhagen stagger code) and through a posteriori spectral synthesis of three Fe I lines, we obtain evidence that moderate amounts of mean magnetic flux cause a noticeable change in the derived equivalent widths compared with those for a non-magnetic case. The corresponding Fe abundance correction for a mean flux density of 200 G reaches up to similar to 0.1 dex in magnitude. These results are based on space- and time-averaged line profiles over a time span of 2.5 solar hours in the statistically stationary regime of the convection. The main factors causing the change in equivalent widths, namely the Zeeman broadening and the modification of the temperature stratification, act in different amounts and, for the iron lines considered here, in opposite directions; yet, the resulting vertical bar Delta log epsilon(circle dot)(Fe)vertical bar coincides within a factor of 2 in all of them, even though the sign of the total abundance correction is different for the visible and infrared lines. We conclude that magnetic effects should be taken into account when discussing precise values of the solar and stellar abundances and that an extended study is warranted.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据