成像矢量磁仪的矢量磁场和电流
Vector Magnetic Fields and Electric Currents from the Imaging Vector Magnetograph
摘要：
首先，我们描述了一个一般程序，以产生高质量的矢量磁图使用成像矢量磁仪（IVM）在梅斯太阳天文台。在空间分辨率为2“× 2”时，在宁静太阳中1小时的时间平均数据中，Stokes Q，U，V的不确定度达到0.001-0.0005。当矢量磁场推断从时间平均斯托克斯光谱图像的FeI 6302.5 A，由此产生的不确定性是在10 G的顺序为纵向场，40 G的横向磁场强度和9度的磁方位角。本工作中使用的磁场反演是“三重”代码，该代码由已故Barry J. LaBonte在IVM软件包中开发和实现。在附录中详细描述了反转码。其次，我们解决了垂直电流密度的绝对值，|Jz|，占上述IVM问题，对于两个不同的有源区。一个是单一的太阳黑子区（2002年6月20日观测到的NOAA 10001），另一个是更复杂的四极区（2002年7月15日观测到的NOAA 10030）。我们使用的计算，不需要消除歧义的180度的横向场方向。|Jz|的不确定度约为7.0 mA·m^-2。垂直电流密度随垂直磁场的增大而增大。在四极NOAA 10030区域中的增加率是简单NOAA 10001中的大约1 - 2倍，并且在NOAA 10030上的空间变化比在NOAA 10001上的更大。
英文摘要：
First, we describe a general procedure to produce high quality vector magnetograms using the Imaging Vector Magnetograph (IVM) at Mees Solar Observatory. At the spatial resolution 2"x2", the Stokes Q,U,V uncertainty reaches 0.001-0.0005 in time-averaged data over 1-hour in the quiet Sun. When vector magnetic fields are inferred from the time-averaged Stokes spectral images of FeI 6302.5A, the resulting uncertainties are on the order of 10 G for the longitudinal fields, 40 G for the transverse field strength and 9 degree for the magnetic azimuth. The magnetic field inversion used in this work is the "Triplet" code, which was developed and implemented in the IVM software package by the late Barry J. LaBonte. The inversion code is described in detail in the Appendix. Second, we solve for the absolute value of the vertical electric current density, |Jz|, accounting for the above IVM problems, for two different active regions. One is a single sunspot region (NOAA 10001 observed on 20 June 2002) while the other is a more complex, quadrupolar region (NOAA10030 observed on 15 July 2002). We use a calculation that does not require disambiguation of 180 degree in the transverse field directions. The |Jz| uncertainty is on the order of 7.0 mA m^-2. The vertical current density increases with increasing vertical magnetic field. The rate of increase is about 1 -2 times as large in the quadrupolar NOAA 10030 region as in the simple NOAA 10001, and it is more spatially variable over NOAA 10030 than over NOAA 10001.
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