研究目的
To compute power spectra of the frequency variations of solar radio zebras to estimate the spectra of plasma density variations in their radio sources.
研究成果
The power spectra of frequency variations in solar radio zebras exhibit power-law forms with indices between -1.61 and -1.75, similar to the whole burst. These are interpreted as spectra of electron plasma density variations, indicating turbulent plasma in zebra sources. The method provides a way to estimate density spectra, with potential for comparison with in-situ measurements, though more examples are needed for validation.
研究不足
Zebra lines are typically short and sometimes interrupted, limiting the duration of data available for analysis. The method relies on assumptions about the emission mechanism and plasma conditions, which may not always hold.
1:Experimental Design and Method Selection:
The study uses Fourier analysis to compute power spectra of frequency variations in zebra patterns from solar radio bursts. Data from the Ond?ejov radiospectrograph are analyzed with and without frequency fitting to enhance resolution.
2:Sample Selection and Data Sources:
Data from a GOES C3.2 flare on 1 August 2010, recorded by the Ond?ejov radiospectrograph, are used. Three distinct zebra patterns are selected for detailed analysis.
3:2 flare on 1 August 2010, recorded by the Ond?ejov radiospectrograph, are used. Three distinct zebra patterns are selected for detailed analysis.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Ond?ejov radiospectrograph with time resolution of 0.01 s and frequency resolution of 4.7 MHz.
4:01 s and frequency resolution of 7 MHz.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Frequency variations of zebra lines and the high-frequency boundary of the burst are determined. Gaussian fitting is applied to enhance frequency resolution for short-duration zebras. Fourier transforms are used to compute power spectra.
5:Data Analysis Methods:
Fourier method is employed to analyze time dependencies of frequency variations, resulting in power-law spectra. Assumptions about upper-hybrid frequency and plasma density relations are used for interpretation.
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