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Imaging spectroscopy of solar radio burst fine structures

Author

Listed:
  • E. P. Kontar

    (University of Glasgow)

  • S. Yu

    (New Jersey Institute of Technology
    Chinese Academy of Sciences)

  • A. A. Kuznetsov

    (Institute of Solar-Terrestrial Physics)

  • A. G. Emslie

    (Western Kentucky University)

  • B. Alcock

    (University of Glasgow)

  • N. L. S. Jeffrey

    (University of Glasgow)

  • V. N. Melnik

    (National Academy of Sciences of Ukraine)

  • N. H. Bian

    (University of Glasgow)

  • P. Subramanian

    (Indian Institute of Science Education and Research)

Abstract

Solar radio observations provide a unique diagnostic of the outer solar atmosphere. However, the inhomogeneous turbulent corona strongly affects the propagation of the emitted radio waves, so decoupling the intrinsic properties of the emitting source from the effects of radio wave propagation has long been a major challenge in solar physics. Here we report quantitative spatial and frequency characterization of solar radio burst fine structures observed with the Low Frequency Array, an instrument with high-time resolution that also permits imaging at scales much shorter than those corresponding to radio wave propagation in the corona. The observations demonstrate that radio wave propagation effects, and not the properties of the intrinsic emission source, dominate the observed spatial characteristics of radio burst images. These results permit more accurate estimates of source brightness temperatures, and open opportunities for quantitative study of the mechanisms that create the turbulent coronal medium through which the emitted radiation propagates.

Suggested Citation

  • E. P. Kontar & S. Yu & A. A. Kuznetsov & A. G. Emslie & B. Alcock & N. L. S. Jeffrey & V. N. Melnik & N. H. Bian & P. Subramanian, 2017. "Imaging spectroscopy of solar radio burst fine structures," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-01307-8
    DOI: 10.1038/s41467-017-01307-8
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    Cited by:

    1. Haipeng An & Xingyao Chen & Shuailiang Ge & Jia Liu & Yan Luo, 2024. "Searching for ultralight dark matter conversion in solar corona using Low Frequency Array data," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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