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首页> 外文期刊>Journal of Geophysical Research, A. Space Physics: JGR >On the autonomous detection of coronal mass ejections in heliospheric imager data
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On the autonomous detection of coronal mass ejections in heliospheric imager data

机译：在日冕物质的自动检测在日球抛射成像仪数据

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摘要

We report on the development of an Automatic Coronal Mass Ejection (CME) Detection tool (AICMED) for the Solar Mass Ejection Imager (SMEI). CMEs observed with heliospheric imagers are much more difficult to detect than those observed by coronagraphs as they have a lower contrast compared with the background light, have a larger range of intensity variation and are easily confused with other transient activity. CMEs appear in SMEI images as very faint often-fragmented arcs amongst a much brighter and often variable background. AICMED operates along the same lines as Computer Aided CME Tracking (CACTus), using the Hough Transform on elongation-time J-maps to extract straight lines from the data set. We compare AICMED results with manually measured CMEs on almost three years of data from early in SMEI operations. AICMED identified 83 verifiable events. Of these 46 could be matched with manually identified events, the majority of the non-detections can be explained. The remaining 37 AICMED events were newly discovered CMEs. The proportion of false identification was high, at 71% of the autonomously detected events. We find that AICMED is very effective as a region of interest highlighter, and is a promising first step in autonomous heliospheric imager CME detection, but the SMEI data are too noisy for the tool to be completely automated.
机译：我们报告一个自动的发展日冕物质抛射(CME)检测工具太阳质量弹射成像仪(AICMED)(SMEI)。比那些更难以检测吗日冕仪观察到较低对比与背景光相比,更大范围的强度变化和与其他瞬变活动容易混淆。太阳风暴出现在SMEI图像非常模糊often-fragmented弧之间更加光明常变量的背景。相同的行计算机辅助CME跟踪(仙人掌),使用霍夫变换elongation-time J-maps提取直线从数据集。在近三年的手工测量太阳风暴SMEI的早期数据操作。确定了83可核查的事件。可以与手动识别事件,大多数non-detections解释说。新发现的太阳风暴。识别高的71%自动检测到的事件。非常有效的地区利益萤光笔,是一个有前途的第一步自主日球成像仪CME检测,但是SMEI数据太嘈杂的工具完全自动化。

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