Coronal loop oscillations and diagnostics with HinodeEIS PowerPoint PPT Presentation

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Title: Coronal loop oscillations and diagnostics with HinodeEIS


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Coronal loop oscillations and diagnostics with
Hinode/EIS
Youra Taroyan Thanks to T. Wang, S.
Bradshaw Department of Applied
Mathematics University of Sheffield Hinode
Meeting, Dublin 2007
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SXT and SUMER observations of hot loop
oscillations
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SUMER measurements Results of the
line profile synthesis
FeXIX CaXV CaXIII
FeXIX CaXV CaXIII
EIT 195Å
Taroyan et al., ApJ 2007
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  • Confirm that the hot loop oscillations represent
    standing (slow) acoustic waves
  • The oscillations are set up by a footpoint
    microflare its total energy and duration are
    estimated
  • The time-distance profile of the heating function
    reproduced

1.5x1027 erg
Why only hot loops?
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Thermal conduction Heating rate Radiation
1D loop modelling (HYDRAD)
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Standing waves
Propagating waves
Hydrodynamic evolution of the loop
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Synthesized Hinode/EIS observations
Selected lines -FeX 190Å, FeXI 188.23Å, FeXII
195Å Imaging mode - 40 slot Spectroscopy mode
1 slit Loop location disc centre
Orientation south-north
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Standing waves
Propagating waves
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Standing waves
Propagating waves
FeXII 195Å, 1 FeXI 188.23Å, 1
FeX 190Å, 1
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  • Problem
  • The diagnostic methods currently used in coronal
    seismology rely on the presence of coherent
    standing/propagating waves
  • The presence of such waves is not guaranteed!
  • New method

Analysis of Doppler shift time series as a
diagnostic tool (Taroyan et al., AA 2007)
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Analysis of Doppler shift time series as a
diagnostic tool
x
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Intensity time series?
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  • Summary
  • Yohkoh/SXT and SoHO/SUMER observations of hot
    loop oscillations combined with forward modelling
    provide important information about heating
  • EIS observations of standing and propagating slow
    (acoustic) waves are synthesized using a
    selection of available spectral lines and
    slits/slots
  • The waves are best seen and identified in
    spectroscopy mode observations
  • The intensity oscillations are subject to phase
    variations and therefore the Doppler shift time
    series are suggested to be used for diagnostic
    purposes
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