日冕磁场的盲视立体观测
Blind Stereoscopy of the Coronal Magnetic Field
摘要：
我们测试的可行性三维冠环跟踪立体EUV图像对，最终目标是使有效的三维重建的日冕磁场驱动耀斑和日冕物质抛射（CME）。我们开发了一个自动化的代码，旨在执行从不同的角度记录的EUV图像对（或三胞胎）的冠状环的三角测量。自动化（或盲）体视代码包括三个主要任务：（i）EUV图像中冠状环的自动模式识别，（ii）来自两个不同视角的对应环模式的自动配对，以及（iii）3D环坐标的立体三角测量。我们用模拟的立体EUV图像进行测试，并量化所有三个程序的准确性。此外，我们测试的性能作为航天器分离角的函数和作为空间分辨率的函数的盲体视代码。我们还测试了磁非电位的敏感性。这里开发的自动化代码可用于分析现有的{ \sl日地关系天文台（STEREO）}数据，但主要用于未来任务的设计研究，并对非潜在磁场进行专门诊断。对于0.6 \arcsec的像素大小（对应于{ \sl太阳动力学观测台（SDO）大气成像组件（AIA）} 1.4 \arcsec的空间分辨率），我们发现最佳航天器分离角为$α_s \approx 5^\circ$。
英文摘要：
We test the feasibility of 3D coronal-loop tracing in stereoscopic EUV image pairs, with the ultimate goal of enabling efficient 3D reconstruction of the coronal magnetic field that drives flares and coronal mass ejections (CMEs). We developed an automated code designed to perform triangulation of coronal loops in pairs (or triplets) of EUV images recorded from different perspectives. The automated (or blind) stereoscopy code includes three major tasks: (i) automated pattern recognition of coronal loops in EUV images, (ii) automated pairing of corresponding loop patterns from two different aspect angles, and (iii) stereoscopic triangulation of 3D loop coordinates. We perform tests with simulated stereoscopic EUV images and quantify the accuracy of all three procedures. In addition we test the performance of the blind stereoscopy code as a function of the spacecraft-separation angle and as a function of the spatial resolution. We also test the sensitivity to magnetic non-potentiality. The automated code developed here can be used for analysis of existing {\sl Solar TErrestrial RElationship Observatory (STEREO)} data, but primarily serves for a design study of a future mission with dedicated diagnostics of non-potential magnetic fields. For a pixel size of 0.6\arcsec (corresponding to the {\sl Solar Dynamics Observatory (SDO) Atmospheric Imaging Assembly (AIA)} spatial resolution of 1.4\arcsec), we find an optimum spacecraft-separation angle of $α_s \approx 5^\circ$.
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