Modelling the molecular Zeeman-effect in M-dwarfs: methods and first results

Modelling the molecular Zeeman-effect in M-dwarfs: methods and first results
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M 矮星中的分子塞曼效应建模:方法和初步结果

DOI:
10.1051/0004-6361/201015229
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发表时间:
2010
影响因子:
6.5
通讯作者:
Seifahrt
Seifahrt
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Shulyak;Reiners;Kochukhov;Piskunov;Seifahrt

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目的我们基于在 FeH Wing-FordF4Δ −X4Δ 跃迁的原子和分子线中同时进行的详细光谱合成,提出了选定的 M 矮星表面磁场测量的第一个定量结果。方法分子塞曼库 (MZL) 的修改版本用于计算不同 Hund 情况下 FeH 线的朗德格因子。使用 Synmast 代码进行磁谱合成。结果我们表明,根据 FeH 态的量子数对 FeH 态实施不同的 Hund 情况,使我们能够在自动状态下很好地拟合太阳黑子光谱中的大多数谱线。通过对三个 M 矮星 YZ CMi、EV Lac 和 AD Leo 的原子线和 FeH 线建模证实了强磁场,但发现它们的平均强度系统地低于先前报道的水平。需要弱得多的磁场(1.7–2 kG 相对于 2.7 kG)来拟合 GJ 1224 光谱中的 FeH 线。结论我们的方法使我们能够通过偏振辐射传输测量极低质量恒星的平均磁场。获得的结果表明,早期作品中报告的场可能被高估了约 15-30%。需要更高质量的观察才能获得更明确的结果。
AimsWe present first quantitative results of the surface magnetic field measurements in selected M-dwarfs based on detailed spectra synthesis conducted simultaneously in atomic and molecular lines of the FeH Wing-FordF4Δ −X4Δ transitions.MethodsA modified version of the Molecular Zeeman Library (MZL) was used to compute Landég-factors for FeH lines in different Hund’s cases. Magnetic spectra synthesis was performed with the Synmast code.ResultsWe show that the implementation of different Hund’s case for FeH states depending on their quantum numbers allows us to achieve a good fit to the majority of lines in a sunspot spectrum in an automatic regime. Strong magnetic fields are confirmed via the modelling of atomic and FeH lines for three M-dwarfs YZ CMi, EV Lac, and AD Leo, but their mean intensities are found to be systematically lower than previously reported. A much weaker field (1.7–2 kG against 2.7 kG) is required to fit FeH lines in the spectra of GJ 1224.ConclusionsOur method allows us to measure average magnetic fields in very low-mass stars from polarized radiative transfer. The obtained results indicate that the fields reported in earlier works were probably overestimated by about 15–30%. Higher quality observations are needed for more definite results.
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影响因子: --
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