Probability Distribution Functions of Sunspot Magnetic Flux
Takashi Sakurai, Shin Toriumi

TL;DR
This study analyzes the probability distributions of sunspot areas and magnetic flux using historical data, finding that tapered power-law and gamma distributions best fit the data, with implications for understanding large sunspot occurrence rates.
Contribution
It identifies the most suitable statistical models for sunspot area distributions and estimates the frequency of large sunspots over historical and stellar contexts.
Findings
Power-law model was less suitable than tapered power-law and gamma distributions.
Large sunspots (>10^4 MSH) are extremely rare, occurring every 30,000 to 80,000 years.
Maximum observed sunspot area was 6132 MSH, with potential maximum coverage up to 2.7%.
Abstract
We have investigated the probability distributions of sunspot area and magnetic flux by using the data from Royal Greenwich Observatory and USAF/NOAA. We have constructed a sample of 2995 regions with maximum-development areas 500 MSH (millionths of solar hemisphere), covering 146.7 years (1874--2020). The data were fitted by a power-law distribution and four two-parameter distributions (tapered power-law, gamma, lognormal, and Weibull distributions). The power-law model was unfavorable compared to the four models in terms of AIC, and was not acceptable by the classical Kolmogorov-Smirnov test. The lognormal and Weibull distributions were excluded because their behavior extended to smaller regions ( MSH) do not connect to the previously published results. Therefore, our choices were tapered power-law and gamma distributions. The power-law portion of the tapered…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Geophysics and Gravity Measurements · Scientific Research and Discoveries
