1. Regularities in averaged granulation patterns Alexander V. Getling Institute of Nuclear Physics Lomonosov Moscow State University Moscow, 119992 Russia

2. La Palma series of photospheric images Brandt, Scharmer, & Simon, 5 June 1993 Swedish Vacuum Solar Telescope Spectral band: centre at 468 nm, width 10 nm Spectral band: centre at 468 nm, width 10 nm Duration: 11 h Duration: 11 h Frame cadence: 21 s Frame cadence: 21 s Subset used here: time interval of duration 8 h Subset used here: time interval of duration 8 h and subfield of size 43.5 × 43.5 Mm 2 (60″ × 60″) and subfield of size 43.5 × 43.5 Mm 2 (60″ × 60″) Resolution: no worse than 0.5 ″ Resolution: no worse than 0.5 ″ Contrast: 6–10.6 % Contrast: 6–10.6 %

3. Description of the series and data prereduction: G. W. Simon, P. N. Brandt, L. J. November, et. al. In Solar Surface Magnetism, eds. R. J. Rutten & C. J. Schrijver (Kluwer: Dordrecht, 1994), p. 261

4. Data prereduction: Alignment of contiguous images Alignment of contiguous images LCT-based destretching (compensation for seeing-introduced distortions) LCT-based destretching (compensation for seeing-introduced distortions) Subsonic Fourier filtering (cutoff phase speed of 4 km/s) Subsonic Fourier filtering (cutoff phase speed of 4 km/s) Fourier transform–based interpolation to equal time intervals Fourier transform–based interpolation to equal time intervals

6. Time averaging Individual image 2-h-averaged image

7. Target pattern of curved convection rolls Experiment: Assenheimer & Steinberg 1994

8. Publications: A. V. Getling & P. N. Brandt Astronomy and Astrophysics, 382 (1), L5–L8, 2002 Astronomy and Astrophysics, 382 (1), L5–L8, 2002 In Proc. 10th European Solar Physics Meeting “Solar Variability: From Core to Outer Frontiers”, Prague, Czech Republic, 9–14 September 2002 (ESA SP-506, December 2002), pp. 617–620 In Proc. 10th European Solar Physics Meeting “Solar Variability: From Core to Outer Frontiers”, Prague, Czech Republic, 9–14 September 2002 (ESA SP-506, December 2002), pp. 617–620

9. Detection of lineaments, circular structures, and contours (nonparametric statistical criteria): A. A. Buchnev & V. P. Pyatkin Institute of Computational Mathematics and Mathematical Geophysics, Novosibirsk

10. The software package was developed to detect geological structures in aerospace images

11. Detection of lineaments and rings fitting into frame (wide ranges of sizes)

12. Detection of lineaments and rings fitting into frame (narrower ranges of sizes)

13. Detection of contours Contour = object with an unknown analytical representation Range of lengths: 16–24 px (pixel size: 0.125 ″; subfield: 480 × 480 px)

14. Angular distributions of lineaments Individual image Range of lengths: 32–240 px Averaged image Range of lengths: 16–240 px

15. Angular distribution of lineaments Range of lengths: 16–43 px

16. Summary In general, the software package detects mainly spurious circular structures In general, the software package detects mainly spurious circular structures The angular distribution of the detected lineaments exhibits a strong anisotropy, despite many spurious features present The angular distribution of the detected lineaments exhibits a strong anisotropy, despite many spurious features present The detection of contours seems promising but requires a careful adjustment of the parameters The detection of contours seems promising but requires a careful adjustment of the parameters

17. Thank you for your attention