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Ring diagramm analysis of artificial data

Ring diagramm analysis of artificial data. Shukur Kholikov and Sushant Tripathy. Analysis of Konstantin’s Simulated Sun Data. Original Data 1280x1280x2048 rebinned to 128x128x2048 for ring processing. Processed through two different procedures :

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Ring diagramm analysis of artificial data

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  1. Ring diagramm analysis of artificial data Shukur Kholikov and Sushant Tripathy

  2. Analysis of Konstantin’s Simulated Sun Data Original Data 1280x1280x2048 rebinned to 128x128x2048 for ring processing. Processed through two different procedures: Original GONG Pipeline: Fitted less number of modes and fitted ℓ values are < 1200 2. Modified GONG pipeline where U is assumed to be zero: More number of modes and ℓ >1200 1/2/2020 LoHCo, Stanford 2

  3. Flows from Fitting With FLow No FLow • Large Flows obtained through the regular ring fitting pipeline. • The flows are suppressed in modified ring fitting procedure. LoHCo, Stanford

  4. Comparison between two procedures LoHCo, Stanford

  5. Difference in Frequency (with no-flow and flow) LoHCo, Stanford

  6. Comparison with Model S and Asymmetry Fitting Model S Asymmetry No Flow • The fitted Frequencies are ℓ dependent. • The frequencies determined with asymmetry parameter are also degree dependent (smaller at lower end and larger at higher end) LoHCo, Stanford

  7. Difference between Model S and Simulated Frequencies The frequencies obtained from simulated data are higher at lower end and smaller at the higher end of the frequency range. LoHCo, Stanford

  8. Fitting of azimutal averaged spectra

  9. Width and asymmetry

  10. 6°x6° patches

  11. Freq.diff. between quite and perturbed region

  12. What have we learned • GONG pipeline needs some “tuning” • Why flows in these data? • Some frequency shifts are visible due to “sunspot” • Bigger size patch or two different with/without sunspot simulations would be useful

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