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Classifying Magnetosheath Jets Using MMS: Statistical Properties
Journal of Geophysical Research: Space Physics ( IF 2.8 ) Pub Date : 2020-10-16 , DOI: 10.1029/2019ja027754
Savvas Raptis 1 , Tomas Karlsson 1 , Ferdinand Plaschke 2 , Anita Kullen 1 , Per‐Arne Lindqvist 1
Affiliation  

Using Magnetospheric Multiscale (MMS) data, we find, classify, and analyze transient dynamic pressure enhancements in the magnetosheath (jets) from May 2015 to May 2019. A classification algorithm is presented, using in situ MMS data to classify jets ( urn:x-wiley:jgra:media:jgra56056:jgra56056-math-0001) into different categories according to their associated angle between interplanetary magnetic field (IMF) and the bow shock normal vector (θBn). Jets appearing for θBn < 45 are referred to as quasi‐parallel, while jets appearing for θBn > 45 as quasi‐perpendicular jets. Furthermore, we define those jets that occur at the boundaries between quasi‐parallel and quasi‐perpendicular magnetosheath as boundary jets. Finally, encapsulated jets are jet‐like structures with similar characteristics to quasi‐parallel jets while the surrounding plasma is of quasi‐perpendicular nature. We present the first statistical results of such a classification and provide comparative statistics for each class. Furthermore, we investigate correlations between jet quantities. Quasi‐parallel jets have the highest dynamic pressure while occurring more often than quasi‐perpendicular jets. The infrequent quasi‐perpendicular jets have a much smaller duration, velocity, and density and are therefore relatively weaker. We conclude that quasi‐parallel and boundary jets have similar properties and are unlikely to originate from different generation mechanisms. Regarding the encapsulated jets, we suggest that they are a special subset of quasi‐parallel jets originating from the flanks of the bow shock, for large IMF cone angles although a relation to flux transfer events (FTEs) and magnetospheric plasma is also possible. Our results support existing generation theories, such as the bow shock ripple and SLAMS‐associated mechanisms while indicating that other factors may contribute as well.

中文翻译:

使用MMS对磁石荒射流进行分类:统计属性

利用磁层多尺度(MMS)数据,我们发现,分类和分析了2015年5月至2019年5月期间磁热(喷气)的瞬态动态压力增强。提出了一种分类算法,使用原位MMS数据将喷气(缸:x-wiley:jgra:媒体:jgra56056:jgra56056-math-0001)分类 为不同的根据星际磁场(IMF)和弓激波法线向量(之间其相关联的类别的角度θñ)。出现对于射流θÑ  <45被称为准平行,而射流出现为θÑ  > 45作为准垂直射流。此外,我们将在准平行和准垂直磁石场之间的边界处出现的那些射流定义为边界射流。最后,包封的射流是类似于准平行射流的类似射流的结构,而周围的等离子体具有准垂直性质。我们介绍了此类分类的第一个统计结果,并提供了每个类别的比较统计信息。此外,我们研究射流量之间的相关性。准平行射流比准垂直射流具有更高的动压,但发生频率更高。罕见的准垂直射流的持续时间,速度和密度要小得多,因此相对较弱。我们得出的结论是,准平行射流和边界射流具有相似的性质,不太可能源自不同的生成机制。关于包封的射流,我们建议它们是准弓形射流的特殊子集,它来自于弓形冲击的侧面,对于大的IMF锥角,尽管也可能与通量传输事件(FTE)和磁层等离子体有关。我们的结果支持了现有的发电理论,例如船首冲击波和与SLAMS相关的机制,同时表明其他因素也可能起作用。对于大的IMF锥角,尽管与通量传输事件(FTE)和磁层等离子体也可能相关。我们的结果支持了现有的发电理论,例如船首冲击波和与SLAMS相关的机制,同时表明其他因素也可能起作用。对于大的IMF锥角,尽管与通量传输事件(FTE)和磁层等离子体也可能相关。我们的结果支持了现有的发电理论,例如船首冲击波和与SLAMS相关的机制,同时表明其他因素也可能有所贡献。
更新日期:2020-11-12
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