arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.03203astro-ph.SR
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对于表面通量输运,活动区的双极近似有多好?

How good is the bipolar approximation of active regions for surface flux transport?

A. R. Yeates

摘要:

我们调查如何代表活动区与双极磁区(BMR)影响的表面通量输运模型预测的周期末极场。我们的研究是基于一个新的数据库的BMR来自SDO/HMI活动区补丁数据之间的2010年和2020年。开发了一个自动化的代码,用于拟合每个活动区域补丁与BMR,匹配的磁通量和轴向偶极矩的区域,并删除重复观察相同的区域。通过比较的预测演变的1090 BMR与其原始的活动区补丁的预测演变,我们表明,双极近似导致24%的高估的净轴向偶极矩,给定相同的流动参数。这是由于忽略了更复杂的多极和/或不对称的磁性结构的许多真正的活动区域,并可以解释为什么以前的磁通量传输模型必须减少BMR倾斜角,以获得现实的极场。我们的BMR数据库和提取它的Python代码是免费提供的。

英文摘要:

We investigate how representing active regions with bipolar magnetic regions (BMRs) affects the end-of-cycle polar field predicted by the surface flux transport model. Our study is based on a new database of BMRs derived from the SDO/HMI active region patch data between 2010 and 2020. An automated code is developed for fitting each active region patch with a BMR, matching both the magnetic flux and axial dipole moment of the region and removing repeat observations of the same region. By comparing the predicted evolution of each of the 1090 BMRs with the predicted evolution of their original active region patches, we show that the bipolar approximation leads to a 24% overestimate of the net axial dipole moment, given the same flow parameters. This is caused by neglecting the more complex multipolar and/or asymmetric magnetic structures of many of the real active regions, and may explain why previous flux transport models had to reduce BMR tilt angles to obtain realistic polar fields. Our BMR database and the Python code to extract it are freely available.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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