The Hunt for the Missing Modes: Revealing the True Nature of the Solar Wind
The Hunt for the Missing Modes: Revealing the True Nature of the Solar Wind
复制标题
寻找缺失的模式：揭示太阳风的真实本质
DOI：
10.21236/ada626831
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
J. McLaughlin
中科院分区：
文献类型：
--
作者：
J. McLaughlin
摘要：这一努力产生了一种新的图像处理算法，该算法成功地识别和准确跟踪了太阳动力学观测台/大气成像组件（SDO/AIA）数据中的太阳羽流，并首次直接测量了太阳极地羽流中的横波。这种图象处理技术允许直接测量171个通道（在4小时内）中596个不同振荡的横向位移、周期和速度-振幅，这些振荡显示出非均匀分布的参数范围。此外，测量使我们能够考虑到整个观察到的非均匀参数分布，允许计算比以前报道的更准确的时间平均能量通量。至关重要的是，这允许计算9-24 W m 2的能量通量，这比太阳风加速所需的能量低4-10倍。因此，结果表明，横向磁流体动力学波解决SDO/AIA不能占主导地位的能源快速太阳风加速的开放场日冕。这种强大的，多功能的波跟踪图像处理算法的开发也可以应用于整个范围内的不同的太阳能结构（和原则上显示振荡行为的其他数据集）。例如，我们利用了最近的高分辨率日冕成像仪（Hi-C）的数据，并应用图像处理算法来测量过渡区苔藓的精细尺度结构，这导致了第一次直接观察到的横波行为的苔藓在一个活跃的区域。
Abstract : This effort produced a novel image-processing algorithm which has allowed successful identification and accurate track of solar plumes in Solar Dynamics Observatory/Atmospheric Imaging Assembly (SDO/AIA) data and, moreover, enabled the first direct measurements of transverse waves in solar polar plumes. This image-processing technique has allowed direct measurement of the transverse displacements, periods and velocity-amplitudes of 596 distinct oscillations in the 171 channel (over a 4 hour period) which displayed a non-uniformly distributed range of parameters. Furthermore, the measurements allow us to take into account the whole of observed non-uniform parameter distribution, permitting the calculation of a more accurate time-averaged energy flux than previously reported. Crucially, this allowed the calculation of an energy flux of 9-24 W m 2, which is 4-10 times below the energy requirement for solar wind acceleration. Hence, the results indicate that transverse magnetohydrodynamic waves as resolved by SDO/AIA cannot be the dominant energy source for fast solar wind acceleration in the open-field corona. The development of this robust, versatile wave-tracking image-processing algorithm can also be applied to a whole range of different solar structures (and in principle to other data sets that display oscillation behaviour). For example, we took advantage of the recent High-resolution Coronal Imager (Hi- C) data and applied the image-processing algorithm to measure the fine-scale structure in transition region moss which led to the first direct observation of transverse wave behaviour of moss in an active region.