Astronomy and Astrophysics – Astrophysics
Scientific paper
Jul 1993
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993a%26a...274..497c&link_type=abstract
Astronomy and Astrophysics, Vol. 274, p. 497 (1993)
Astronomy and Astrophysics
Astrophysics
77
Scientific paper
Although the existence of a north-south asymmetry in solar activity is generally accepted, a detailed study of its significance and behaviour is still missing. In this paper, we present a thorough study of the north-south asymmetry of solar activity made with the daily sunspot areas, since they are a good indicator of magnetic activity. To perform the study, we have constructed an asymmetry time series and analysed it by different methods. First of all, its significance and statistical behaviour has been studied. Secondly, using a Montecarlo simulation we have generated synthetic asymmetries and compared them to the real one by means of an χ2-test of goodness of fit, and thirdly, we have used modern techniques, developed to study the chaotic behaviour of time series, to search for low-dimensional deterministic chaos in the asymmetry time series.
Our results show that in most cases the north-south asymmetry is statistically highly significant, i.e. it is a real feature of sunspot areas distribution, and that it cannot be obtained from a distribution of sunspot areas generated, in a random way, from a binomial or uniform distribution of probability between hemispheres; moreover, synthetic asymmetries obtained from the Morfill et al. (1991) model, which seems to reproduce realistically the sunspot cycle, do not agree with the real one and the real asymmetry time series can be represented by means of a multicomponent model made up of a long-term trend, a sinusoidal component with a period of 12.1 yr and a dominant purely random component. Also, the chaotic analysis does not reveal the existence of a strange attractor in the time series and its multifractal properties indicate that intermittency or bursts of activity are present in it.
Ballester Jose Luis
Carbonell M.
Oliver Ramon
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