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首页> 外文期刊>Solar Physics >The Pixelised Wavelet Filtering Method to Study Waves and Oscillations in Time Sequences of Solar Atmospheric Images
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The Pixelised Wavelet Filtering Method to Study Waves and Oscillations in Time Sequences of Solar Atmospheric Images

机译:像素化小波滤波方法研究太阳大气图像时间序列中的波和振荡

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Pixelised wavelet filtering (PWF) for the determination of the spatial, temporal, and phase structure of oscillation sources in temporal sequences of 2D images, based upon the continuous wavelet transform, has been designed and tested. The PWF method allows us to obtain information about the presence of propagating and nonpropagating waves in the data and localise them precisely in time and in space. The method is tested on the data sets obtained in microwaves with the Nobeyama Radioheliograph and in the EUV with TRACE. The method reveals fine spatial structuring of the sources of 3-, 5-, and 15-minute periodicities in the microwave and EUV emission generated in sunspot atmospheres. In addition, the PWF method provides us with unique information about the temporal variability of the power, amplitude, and phase narrowband maps of the observed oscillations and waves. The applicability of the method to the analysis of coronal wave phenomena is discussed.
机译:已经设计并测试了基于连续小波变换的像素化小波滤波(PWF),用于确定2D图像的时间序列中振荡源的空间,时间和相位结构。 PWF方法使我们能够获取有关数据中传播波和非传播波的存在的信息,并在时间和空间上精确地定位它们。对该方法进行了测试,方法是使用Nobeyama Radioheliograph在微波中获得的数据集以及使用TRACE在EUV中获得的数据集。该方法揭示了微波在3分钟,5分钟和15分钟周期内的精细空间结构以及黑子大气中产生的EUV发射。另外,PWF方法为我们提供了有关观察到的振荡和波的功率,幅度和相位窄带图的时间变化的独特信息。讨论了该方法在日冕波现象分析中的适用性。

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