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首页> 外文期刊>Astronomy and astrophysics >Wavelet analysis of CME, X-ray flare, and sunspot series
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Wavelet analysis of CME, X-ray flare, and sunspot series

机译：CME，X射线耀斑和黑子序列的小波分析

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Context. Coronal mass ejections (CMEs) and solar flares are the most energetic transient phenomena taking place at the Sun. Together they are principally responsible for disturbances in outer geospace. Coronal mass ejections and solar flares are believed to be correlated with the solar cycle, which is mainly characterized by sunspot numbers. Aims. Here, we search for pattern identification in CMEs, X-ray solar flares, and sunspot number time series using a new data mining process and a quantitative procedure to correlate these series. Methods. This new process consists of the combination of a decomposition method with the wavelet transform technique applied to the series ranging from 2000 until 2012. A simple moving average is used for the time-series decomposition as a high-pass filter. A continuous wavelet transform is applied to the series in sequence, which permits us to uncover signals previously masked by the original time series. We made use of the wavelet coherence to find some correlation between the data. Results. The results have shown the existence of periodic and intermittent signals in the CMEs, flares, and sunspot time series. For the CME and flare series, few and relatively short time intervals without any signal were observed. Signals with an intermittent character take place during some epochs of the maximum and descending phases of the solar cycle 23 and rising phase of solar cycle 24. A comparison among X-ray flares, sunspots, and CME time series shows a stronger relation between flare and CMEs, although during some short intervals (four–eight months) and in a relatively narrow band. Yet, in contrast we have obtained a fainter or even absent relation between the X-ray flares and sunspot number series as well as between the CMEs and sunspot number series.
机译：上下文。日冕物质抛射（CME）和太阳耀斑是太阳上最活跃的瞬态现象。它们在一起主要负责外部地理空间的干扰。人们认为日冕物质抛射和太阳耀斑与太阳周期有关，太阳周期主要由太阳黑子数表征。目的在这里，我们使用新的数据挖掘过程和定量程序来搜索CME，X射线太阳耀斑和黑子数时间序列中的模式识别，以将这些序列关联起来。方法。这个新过程包括将分解方法与小波变换技术相结合，将其应用于2000年至2012年的序列。时间序列分解使用简单的移动平均值作为高通滤波器。连续小波变换按顺序应用于序列，这使我们能够发现以前被原始时间序列掩盖的信号。我们利用小波相干性来找到数据之间的一些相关性。结果。结果表明，在CME，耀斑和黑子时间序列中存在周期性和间歇性信号。对于CME和耀斑系列，观察到很少且相对较短的时间间隔，没有任何信号。具有间歇性特征的信号发生在太阳周期23的最大和下降阶段以及太阳周期24的上升阶段的某些时期。X射线耀斑，黑子和CME时间序列之间的比较表明，耀斑与CME，尽管间隔很短（四到八个月）并且处于相对狭窄的范围内。然而，相比之下，我们在X射线耀斑和黑子数序列之间以及CME和黑子数序列之间获得了模糊甚至不存在的关系。

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