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Data processing of filament observations using a tunable H-a filter

Data processing of filament observations using a tunable H-a filter. Hyungmin Park 1,3 , Jongchul Chae 2 , Yong-Jae Moon 3 , Young-Deuk Park 3 1 Dept. of Astronomy and Space Science, Chungnam National University 2 SEES, Seoul National University 3 Korea Astronomy and Space Science Institute.

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Data processing of filament observations using a tunable H-a filter

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  1. Data processing of filament observations using a tunable H-a filter Hyungmin Park1,3, Jongchul Chae2, Yong-Jae Moon3, Young-Deuk Park3 1Dept. of Astronomy and Space Science, Chungnam National University 2SEES, Seoul National University 3Korea Astronomy and Space Science Institute

  2. contents • Introduction • Basic data processing • Additional data processing • Further works

  3. Introduction • H-a observation • Chromosphere • Active Regions, Filaments, Flares… • Specific wavelength : H-a centerline, wing • Limitation • Multiwavelength observations • Using two or more wavelength • Filter Scanning (Imaging Spectroscopy) • Can infer the temporal changes in the morphology, brightness and so on

  4. Two types for imaging spectroscopy space ① ② ③ space (scan) space ③ space wavelength (scan) ② ① wavelength

  5. Data • Aug 4, 2004, BBSO • 10 inch telescope (FOV 384”) • 5 wavelengths • -0.65Å, -0.35Å, -0.05Å, +0.25Å, +0.55Å • Zeiss Filter (0.25Å) • About ~20(~4) sec • Fast CCD Camera (30fps) • Using frame selection method • Filament

  6. Basic data processing • Classification of each wavelength data • Subtraction of Dark/Bias • Masking • Flat fielding • Fourier filtering • Align dust

  7. Raw data

  8. Masking

  9. Flat-fielding (Chae, 2004)

  10. Align dust position

  11. Fourier filtering

  12. -0.65Å -0.35Å -0.05Å +0.25Å +0.55Å Filtergram Images

  13. Additional data processing • Constructing Contrast Data Cube • Image Enhancement • Using deconvolution • Calculation of Contrast • Data Registration(destretching) • Align Different Wavelengths • Subsonic filtering

  14. Calculation of contrast • Uncorrected Contrast • Corrected Contrast • Corrected reference intensity

  15. Subtracting background

  16. Data Registration • Make successive contrast images at the same wavelength • Determine relative displacement of image files to reference image • Correct relative displacement • Shifted back all images • Image destretching • Repeated for every set of images taken at different wavelengths

  17. Subsonic filtering • Remove noise • Oscillation • Cut-off speed • 35km/s • Larger than the transverse motion inside a quiescent prominence

  18. Effect of image processing

  19. Future work • Additional data processing • Wavelength calibration • Data analysis • Cloud model fitting • Get physical parameters • Optical thickness • Line of sight velocity • Doppler Width • Source Function

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