Robert Sych

Survey Information

    Institution: Institute of Solar-Terrestrial Physics, Irkutsk, Russia
    Organizational Affiliation:
Observations

    Providing Observations for WHI: No
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Modeling

    Providing Modeling Support for WHI: No
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Data

    Assisting with Data Coordination: Yes
    Data Service: Remote processing of the data observation (2D image sequence analysis)
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    Service Type: PWF and PeriodMaps analysis
    Data Types or Sources: PWF and PeriodMaps analysis
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Other

    Other Research Goals: The connectivity of different layers of the solar atmosphere is subject to intensive studies in our research group. The interest to this topic is first of all connected with the enigmatic problem of coronal heating. The transfer of the energy generated in the solar interior through the lower parts of the solar atmosphere into the transition region and the corona is still far from full understanding. One of the important means for the energy transfer is upwardly propagating magnetic and acoustic waves. However, the sharp stratification of the lower levels of the solar atmosphere prevents efficient penetration of the waves to the upper atmosphere. The regions of the intensive magnetic field, sunspots, pores and magnetic elements are natural wave guides which can channel the wave energy through the lower atmosphere. The main aim of our project is to study magnetohydrodynamic (MHD) waves in the regions over sunspots. We plan analyse the microwave data obtained with the use of the Nobeyama radio heliograph (NoRH) in 17 GHz and 34 GHz channels and the EUV data obtained with TRACE. The project participants have high experience in the analysis of wave and oscillatory processes in the data from these instruments. The study will be carried out with the use of the novel Pixelised Wavelet Filtering (PWF) technique, developed by ISTP (Dr. Robert Sych)in collaboration with Warwick University (Prof.Valery Nakariakov). The PWF method is based upon the application of the wavelet transform to the construction of narrowband 2D maps of the analysed high-cadence imaging datasets. The PWF method allows us to understand the fine spatial structure and time evolution of various wave and oscillatory motions and their inter-relations.
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