Wavelet-based method for coronal loop oscillations analysis
Abstract
We study the properties of Doppler shift oscillations observed in hot coronal loops by SoHO/SUMER. These oscillations have been identified as magnetoacoustic slow mode standing waves and may be an important magnetic field diagnostic for the oscillating loops. Visual inspection of the SUMER data suggests that one in three microflares trigger oscillation. So for an average active region we can expect several oscillation events per hour. To study the statistics of the oscillations, automatic identification and classification of the events is required. We have performed a Wavelet analysis on a 12 hour time series of SUMER Fe XIX data and find that almost all of the oscillation events in the data set are identified by this technique, with very few false positives. The method is expected to be useful for the analysis of future Ca XVII and Fe XXIV spectra of microflares observed with HINODE/EIS.
- Publication:
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Modern solar facilities - advanced solar science
- Pub Date:
- 2007
- Bibcode:
- 2007msfa.conf..265T