局部杂散光污染下Stokes剖面的反演
On the inversion of Stokes profiles with local stray-light contamination
摘要：
获得非解析结构在太阳光球的磁特性总是具有挑战性的，问题的出现，因为反演是通过数值最小化的价值函数，取决于所提出的模型。我们调查的可靠性反演中的杂散光污染是从相同的观测作为当地的平均值。在这种情况下，我们表明，它是基本的，包括所观察到的斯托克斯配置文件和杂散光污染之间的协方差。随后修改的价值函数的反演过程惩罚大杂散光污染，仅仅是因为存在的观测值和杂散光，基本上产生的空间可变系统学之间的正相关性。我们警告说，使用错误的评价函数，人为的大杂散光污染可能会推断。由于如果杂散光污染是作为整个视场的平均值获得的，则这种影响消失，因此我们建议使用全局方法考虑杂散光污染。
英文摘要：
Obtaining the magnetic properties of non-resolved structures in the solar photosphere is always challenging and problems arise because the inversion is carried out through the numerical minimization of a merit function that depends on the proposed model. We investigate the reliability of inversions in which the stray-light contamination is obtained from the same observations as a local average. In this case, we show that it is fundamental to include the covariance between the observed Stokes profiles and the stray-light contamination. The ensuing modified merit function of the inversion process penalizes large stray-light contaminations simply because of the presence of positive correlations between the observables and the stray-light, fundamentally produced by spatially variable systematics. We caution that using the wrong merit function, artificially large stray-light contaminations might be inferred. Since this effect disappears if the stray-light contamination is obtained as an average over the full field-of-view, we recommend to take into account stray-light contamination using a global approach.
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