Statistical and wavelet analysis of the solar wind data
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| Formato: | Artículo científico |
| Lenguaje: | en |
| Publicado: |
Sociedade Brasileira de Física
2005
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| _version_ | 1876463297418493952 |
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| author | Maurício José Alves Bolzan |
| author_facet | Maurício José Alves Bolzan |
| contents | Statistical and wavelet analysis of the solar wind data Maurício José Alves Bolzan Física, Astronomía y Matemáticas We perform statistical and wavelet analysis of three time series based on the solar wind velocity of the year2000, the original time series and two filtered components. We use the Haar Wavelet Transform to separate thisannual time-series into two parts, corresponding to high and low frequencies. We then calculate the kurtosis and skewness parameters for the three time-series. The results show that these parameters present high values in the low-pass filtered time-series, indicating that the intermittence level is superior at large scales (low-frequencies)if compared with the small scales of the turbulence. It is possible to conjecture that the Coherent Structures are responsible for this behavior. The use of the Morlet Wavelet Transform is presented to understand this behaviorin terms of the gradient and nonlinear interaction of energy between scales. 2005 artículo científico 0103-9733 https://www.redalyc.org/articulo.oa?id=46435402 en http://www.redalyc.org/revista.oa?id=464 Brazilian Journal of Physics application/pdf Sociedade Brasileira de Física Brazilian Journal of Physics (Brasil) Num.3A Vol.35 |
| format | Artículo científico |
| id | redalyc_46435402 |
| institution | Redalyc |
| language | en |
| publishDate | 2005 |
| publisher | Sociedade Brasileira de Física |
| spellingShingle | Statistical and wavelet analysis of the solar wind data Maurício José Alves Bolzan Física, Astronomía y Matemáticas Statistical and wavelet analysis of the solar wind data Maurício José Alves Bolzan Física, Astronomía y Matemáticas We perform statistical and wavelet analysis of three time series based on the solar wind velocity of the year2000, the original time series and two filtered components. We use the Haar Wavelet Transform to separate thisannual time-series into two parts, corresponding to high and low frequencies. We then calculate the kurtosis and skewness parameters for the three time-series. The results show that these parameters present high values in the low-pass filtered time-series, indicating that the intermittence level is superior at large scales (low-frequencies)if compared with the small scales of the turbulence. It is possible to conjecture that the Coherent Structures are responsible for this behavior. The use of the Morlet Wavelet Transform is presented to understand this behaviorin terms of the gradient and nonlinear interaction of energy between scales. 2005 artículo científico 0103-9733 https://www.redalyc.org/articulo.oa?id=46435402 en http://www.redalyc.org/revista.oa?id=464 Brazilian Journal of Physics application/pdf Sociedade Brasileira de Física Brazilian Journal of Physics (Brasil) Num.3A Vol.35 |
| title | Statistical and wavelet analysis of the solar wind data |
| topic | Física, Astronomía y Matemáticas |
| url | https://www.redalyc.org/articulo.oa?id=46435402 |