Volume 596, December 2016
|Number of page(s)||11|
|Published online||01 December 2016|
Evolution of the magnetic field distribution of active regions
1 Mullard Space Science Laboratory,
University College London, Holmbury
St. Mary, Surrey RH5
2 Observatoire de Paris, LESIA, UMR 8109 (CNRS), 92195 Meudon Cedex, France
3 Konkoly Observatory of the Hungarian Academy of Sciences, 1121 Budapest, Hungary
4 Institut d’Astrophysique Spatiale, UMR 8617, Univ. Paris-Sud-CNRS, Université Paris-Saclay, Bâtiment 121, 91405 Orsay Cedex, France
Accepted: 11 September 2016
Aims. Although the temporal evolution of active regions (ARs) is relatively well understood, the processes involved continue to be the subject of investigation. We study how the magnetic field of a series of ARs evolves with time to better characterise how ARs emerge and disperse.
Methods. We examined the temporal variation in the magnetic field distribution of 37 emerging ARs. A kernel density estimation plot of the field distribution was created on a log-log scale for each AR at each time step. We found that the central portion of the distribution is typically linear, and its slope was used to characterise the evolution of the magnetic field.
Results. The slopes were seen to evolve with time, becoming less steep as the fragmented emerging flux coalesces. The slopes reached a maximum value of ~−1.5 just before the time of maximum flux before becoming steeper during the decay phase towards the quiet-Sun value of ~−3. This behaviour differs significantly from a classical diffusion model, which produces a slope of −1. These results suggest that simple classical diffusion is not responsible for the observed changes in field distribution, but that other processes play a significant role in flux dispersion.
Conclusions. We propose that the steep negative slope seen during the late-decay phase is due to magnetic flux reprocessing by (super)granular convective cells.
Key words: magnetic fields / Sun: photosphere / Sun: evolution / sunspots / methods: statistical / methods: analytical
© ESO, 2016
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