论文标题
用于建模太阳能区域全局磁参数的贝叶斯方法
Bayesian approach for modeling solar active region global magnetic parameters
论文作者
论文摘要
语境。由于磁通管的出现,活动区域(ARS)出现在太阳大气中。视线(LOS)磁力图中的伸长磁极的存在表明形成它们的通量管中存在扭曲。这些极性伸长(称为磁舌)偏向于其出现阶段获得的AR特性的测量(例如它们的倾斜角度和磁通量等)。特别是,获得倾斜角演化的良好估计在约束磁通型传输元模型中起关键作用。目标。在这项工作中,我们旨在通过定量比较观察到的LOS磁力图与源自环形磁通磁管模型的合成磁力图的扭曲通量管或通量绳的固有特性。方法。因此,我们开发了一种贝叶斯推理方法,以获取推断模型参数的统计分布。例如,我们将方法应用于NOAA AR 10268。接下来,我们使用合成-AR发电机来测试结果,以量化小型扰动对推断参数分布的影响。结果。我们得出的结论是,该方法可以显着消除磁舌对衍生的AR全局特性的影响,从而更好地了解新兴通量绳的内在特性。结论。这些结果为将来使用贝叶斯统计数据对新兴AR的物理特性进行分析提供了一个框架。
Context. Active regions (ARs) appear in the solar atmosphere as a consequence of the emergence of magnetic flux tubes. The presence of elongated magnetic polarities in line-of-sight (LOS) magnetograms indicates the existence of twist in the flux tubes forming them. These polarity elongations, called magnetic tongues, bias the measurement of AR characteristics obtained during their emergence phase (e.g. their tilt angle and magnetic flux, among others). In particular, obtaining a good estimation of the tilt angle evolution plays a key role in constraining flux-transport dynamo models. Aims. In this work we aim to estimate the intrinsic properties of the twisted flux tubes, or flux ropes, that form ARs by quantitatively comparing observed LOS magnetograms with synthetic ones derived from a toroidal magnetic flux tube model. Methods. For this reason, we develop a Bayesian inference method to obtain the statistical distributions of the inferred model parameters. As an example, we apply the method to NOAA AR 10268. Next, we test the results using a synthetic-AR generator to quantify the effect of small scale perturbations over the inferred parameter distributions. Results. We conclude that this method can significantly remove the effects of magnetic tongues on the derived AR global characteristics, providing a better knowledge of the intrinsic properties of the emerging flux rope. Conclusions. These results provide a framework for future analysis of the physical properties of emerging ARs using Bayesian statistics.