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Holography far-side images with HMI

Holography far-side images with HMI. Irene Gonzalez Hernandez Charlie Lindsey Richard Bogart Phil Scherrer Sebastian Couvidat , and the calibration team !. Quick solution (I). Tucson. Stanford. High resolution Dopplergrams. Low resolution Dopplergrams. NetDRMS.

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Holography far-side images with HMI

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  1. Holography far-side images with HMI Irene Gonzalez Hernandez Charlie Lindsey Richard Bogart Phil Scherrer Sebastian Couvidat, and the calibration team !

  2. Quick solution (I) Tucson Stanford High resolution Dopplergrams Low resolution Dopplergrams NetDRMS GONG farside pipeline Binning Algorithm Low resolution Dopplergrams Farside maps Farside maps Tucson Web Publication Stanford Web Publication

  3. First attempts to calculate far-side maps Apr. 4 2010 May 7 2010 May 13 2010

  4. First attempts to calculate far-side maps HMI cuts of the central region of the “far-side map”

  5. First attempts to calculate far-side maps GONG cuts of the central region of the “far-side map”

  6. The input data HMI (binned) postel projected Doppler images

  7. The input data HMI (binned) postel projected Doppler images Temporal series of a single pixel

  8. The input data HMI averaged postel-projected Dopplergram

  9. The input data Acoustic power map

  10. The input data Doppler Parameters

  11. The input data Sensitivity of the Doppler signature to the radial velocity of the Spacecraft

  12. The input data Sensitivity of the Doppler signature to the radial velocity of the Spacecraft

  13. Quick solution (II) Tucson Stanford High resolution Dopplergrams Fourier transformed data cube NetDRMS Modified GONG farside pipeline FS Preprocessor Fourier transformed data cube Farside maps H. Farside maps + Tucson Web Publication Time-distance pipeline T-D. Farside maps Stanford Web Publication

  14. The FS Preprocessor • Postel Projection of Dopplergrams • Quality control: • Frame rejection (based on NaN values) • Glitch/cosmic-ray recognition and removal (deviation from temporal trends) • Conformation to appropriate rotational profile • Spatial filtering/condensation (what is this?) • Spectral filtering: extraction of the 2.5-4.5 mHz band • ** Possibility of binning down to 90sec. Cadence (Nyquistfrequency of 5.6mHz)

  15. The FS Preprocessor Possibility of binning down to 90sec. Cadence (Nyquist frequency of 5.6mHz)

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