Sunspot tilt angles revisited: Dependence on the solar cycle strength
Углы наклона солнечных пятен: новый анализ зависимости от силы солнечного цикла
2021-06-22
SCID: 54.1/urx3wc6n
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Babcock-Leighton dynamoDebrecen Photoheliographic DatabaseJoy’s lawsolar cycle strengthsunspot tilt angles
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Abstract (AI)
Context. The tilt angle of sunspot groups is crucial in the Babcock-Leighton (BL) type dynamo for the generation of the poloidal magnetic field. Some studies have shown that the tilt coefficient, which excludes the latitudinal dependence of the tilt angles, is anti-correlated with the cycle strength. If the anti-correlation exists, it will be shown to act as an effective nonlinearity of the BL-type dynamo to modulate the solar cycle. However, some studies have shown that the anti-correlation has no statistical significance. Aims. We aim to investigate the causes behind the controversial results of tilt angle studies and to establish whether the tilt coefficient is indeed anti-correlated with the cycle strength. Methods. We first analyzed the tilt angles from Debrecen Photoheliographic Database (DPD). Based on the methods applied in previous studies, we took two criteria (with or without angular separation constraint Δs > 2.°5) to select the data, along with the linear and square-root functions to describe Joy’s law, and three methods (normalization, binned fitting, and unbinned fitting) to derive the tilt coefficients for cycles 21–24. This allowed us to evaluate different methods based on comparisons of the differences among the tilt coefficients and the tilt coefficient uncertainties. Then we utilized Monte Carlo experiments to verify the results. Finally, we extended these methods to analyze the separate hemispheric DPD data and the tilt angle data from Kodaikanal and Mount Wilson. Results. The tilt angles exhibit an extremely wide scatter due to both the intrinsic mechanism for its generation and measurement errors, for instance, the unipolar regions included in data sets. Different methods to deal with the uncertainties are mainly responsible for the controversial character of the previous results. The linear fit to the tilt-latitude relation of sunspot groups with Δs > 2.°5 of a cycle carried out without binning the data can minimize the effect of the tilt scatter on the uncertainty of the tilt coefficient. Based on this method the tilt angle coefficient is anti-correlated with the cycle strength with strong statistical significance (r = −0.85 at 99% confidence level). Furthermore, we find that tilts tend to be more saturated at high latitudes for stronger cycles. The tilts tend to show a linear dependence on the latitudes for weak cycles and a square-root dependence for strong cycles. Conclusions. This study disentangles the cycle dependence of sunspot group tilt angles from the previous results that were shown to be controversial, spurring confusion in the field.
Key Findings
1
Different treatments of uncertainties, rather than the underlying data alone, largely explain contradictory conclusions about tilt-coefficient anti-correlation with solar-cycle strength.
2
For data with angular separation Δs > 2.5°, unbinned linear fitting of the tilt–latitude relation minimizes the effect of uncertainties.
3
Monte Carlo experiments and analyses of hemispheric DPD, Kodaikanal, and Mount Wilson data are used to test the robustness of tilt-coefficient estimates.
4
Sunspot tilt angles show extremely wide scatter, arising from intrinsic tilt-generation processes, measurement errors, and inclusion of unipolar regions.
5
The study systematically compares angular-separation criteria, linear versus square-root Joy’s-law fits, and normalization, binned, and unbinned methods for cycles 21–24.
Research Object
Sunspot groups and their tilt angles across solar cycles 21–24
Research Subject
The dependence and statistical anti-correlation of the tilt coefficient with solar-cycle strength, including the effects of data-selection and uncertainty-treatment methods
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2021-06-22
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