论文标题

关于振荡现象对Stokes反转结果的影响

On the effect of oscillatory phenomena on Stokes inversion results

论文作者

Keys, P. H., Steiner, O., Vigeesh, G.

论文摘要

Stokes反转代码对于返回太阳大气的返回特性至关重要,例如温度和磁场强度。但是,这种算法成功返回可靠值的成功可能会因磁波指南中振荡现象的存在而阻碍。返回准确的参数对于一般来说,对于磁水动力学研究和太阳物理学都至关重要。在这里,我们采用了一个模拟,该模拟在通量管中带有带有已知驱动器和大气参数的通量管中。我们将6301 $ \ unicode {0xc5} $和6302 $ \ unicode {0xc5} $的stokes配置文件反转,使用响应功能(SIR)代码中的众所周知的Stokes倒置从模拟中出现了从模拟中出现的线对,以查看大气参数是否可以返回典型的典型空间分辨率,地面层面可以返回地面层面的分辨率。反转返回的合成光谱与原始输入光谱相当,即使在大气中的波传播中引入了光谱中的不对称性。反转的输出模型与倒置线的典型地层高度内的温度,视线磁场和视线速度的模拟非常匹配。远离这些高度区域的偏差。在线形成区域内的波段通过期间,反转结果的准确性较低。在此任务中,经验模式分解的性能优于小波方法,可以从大气输出中恢复原始波周期。

Stokes inversion codes are crucial in returning properties of the solar atmosphere, such as temperature and magnetic field strength. However, the success of such algorithms to return reliable values can be hindered by the presence of oscillatory phenomena within magnetic wave guides. Returning accurate parameters is crucial to both magnetohydrodynamics studies and solar physics in general. Here, we employ a simulation featuring propagating MHD waves within a flux tube with a known driver and atmospheric parameters. We invert the Stokes profiles for the 6301 $\unicode{0xc5}$ and 6302 $\unicode{0xc5}$ line pair emergent from the simulations using the well-known Stokes Inversions from Response functions (SIR) code to see if the atmospheric parameters can be returned for typical spatial resolutions at ground-based observatories. The inversions return synthetic spectra comparable to the original input spectra, even with asymmetries introduced in the spectra from wave propagation in the atmosphere. The output models from the inversions match closely to the simulations in temperature, line-of-sight magnetic field and line-of-sight velocity within typical formation heights of the inverted lines. Deviations from the simulations are seen away from these height regions. The inversion results are less accurate during passage of the waves within the line formation region. The original wave period could be recovered from the atmosphere output by the inversions, with empirical mode decomposition performing better than the wavelet approach in this task.

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