data processing of filament observations using a tunable h-a filter hyungmin park 1,3, jongchul chae...
TRANSCRIPT
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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 University2SEES, Seoul National University
3Korea Astronomy and Space Science Institute
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contents
• Introduction
• Basic data processing
• Additional data processing
• Further works
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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
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Two types for imaging spectroscopy
wavelength (scan)
space
space
wavelength
space(scan)
① ② ③
①
②
③
space
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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
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Basic data processing
• Classification of each wavelength data
• Subtraction of Dark/Bias
• Masking
• Flat fielding
• Fourier filtering
• Align dust
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Raw data
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Masking
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Flat-fielding (Chae, 2004)
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Align dust position
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Fourier filtering
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Filtergram Images-0.65Å -0.35Å -0.05Å
+0.25Å +0.55Å
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Additional data processing
• Constructing Contrast Data Cube– Image Enhancement
• Using deconvolution
– Calculation of Contrast– Data Registration(destretching)– Align Different Wavelengths
• Subsonic filtering
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Calculation of contrast
• Uncorrected Contrast
• Corrected Contrast
• Corrected reference intensity
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Subtracting background
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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 diffe
rent wavelengths
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Subsonic filtering• Remove noise
– Oscillation• Cut-off speed
– 35km/s– Larger than the
transverse motion inside a quiescent prominence
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Effect of image processing
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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