1950 - 2010年F10.7月平均值时间序列研究
The study of time series of monthly averaged values of F10.7 from 1950 to 2010
摘要：
在1947年以前，太阳的活动是通过太阳黑子的相对数量（W）来评估的。从1947年开始使用10.7厘米射电辐射（频率为2.8 GHz）观测色球层和低日冕（F10.7）的辐射变化。对于F10，7有更详细的观测档案数据，因此该活动指数比其他指数更常用于预测和监测太阳活动。我们用Daubechies 10、Symlet 8、Meyer、Gauss 8和Morlet等不同的母小波对F10.7的时间序列进行了分析。小波频谱不仅可以识别周期，还可以分析它们随时间的变化。每个小波都有自己的特征，所以有时借助不同的小波可以更好地识别和突出被分析信号的不同性质。我们打算选择的母小波，这是更充分地给出了有关的分析指数F10.7的信息。我们已经收到，所有这些小波显示类似的值的循环活动的最大值。然而，当使用不同的小波时，我们可以看到差异。也有一些周期，也许是主周期的谐波。11年周期的平均值约为10.2年。上述例子表明，用Morley小波、Gauss小波（实值）和多参数Morley小波、Gauss小波（复值）得到的结果最好。
英文摘要：
Prior to 1947, the activity of the Sun was assessed by the relative numbers of sunspots (W). The 10.7 cm radio emission (frequency of 2.8 GHz) for observations of the variability of radiation of chromosphere and the lower corona (F10.7) became used from 1947. For the F10,7 are available more detailed observational archive data, so this activity index more often than the other indices is used in the prediction and monitoring of the solar activity. We have made the analysis of time series of F10.7 with the use of different mother wavelets: Daubechies 10, Symlet 8, Meyer, Gauss 8 and Morlet. Wavelet spectrum allows us not only to identify cycles, but analyze their change in time. Each wavelet has its own characteristic features, so sometimes with the help of different wavelets it can be better identify and highlight the different properties of the analyzed signal. We intended to choose the mother wavelet, which is more fully gives information about the analyzed index F10.7. We have received, that all these wavelets show similar values to the maximums of the cyclic activity. However, we can see the difference when using different wavelets. There are also a number of periods, which, perhaps, are the harmonics of main period. The mean value of 11-year cycle is about 10.2 years. All the above examples show that the best results we get when using wavelets Morley, Gauss (real-valued) and multiparameter family of wavelets Morley and Gauss (complex-valued).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
