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Solar Grand Minima and Random Fluctuations in Dynamo Parameters

机译:太阳总极小值和发电机参数的随机波动

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We consider to what extent the long-term dynamics of cyclic solar activity in the form of Grand Minima can be associated with random fluctuations of the parameters governing the solar dynamo. We consider fluctuations of the alpha coefficient in the conventional Parker migratory dynamo, and also in slightly more sophisticated dynamo models, and demonstrate that they can mimic the gross features of the phenomenon of the occurrence of Grand Minima over suitable parameter ranges. The temporal distribution of these Grand Minima appears chaotic, with a more or less exponential waiting time distribution, typical of Poisson processes. In contrast, however, the available reconstruction of Grand Minima statistics based on cosmogenic isotope data demonstrates substantial deviations from this exponential law. We were unable to reproduce the non-Poissonic tail of the waiting time distribution either in the framework of a simple alpha-quenched Parker model or in its straightforward generalization, nor in simple models with feedback on the differential rotation. We suggest that the disagreement may only be apparent and is plausibly related to the limited observational data, and that the observations and results of numerical modeling can be consistent and represent physically similar dynamo regimes.
机译:我们考虑到,以极大极小值形式存在的周期性太阳活动的长期动力学在何种程度上可以与控制太阳发电机的参数的随机波动相关联。我们考虑了传统派克迁徙发电机以及稍微更复杂的发电机模型中α系数的波动,并证明它们可以在合适的参数范围内模拟大极小现象的总体特征。这些极大极小值的时间分布看起来很混乱,具有或多或少的指数等待时间分布,这是泊松过程的典型特征。但是,相比之下,基于宇宙成因同位素数据的大极小值统计数据的可用重建表明,与该指数定律有很大偏差。无论是在简单的alpha猝灭的Parker模型的框架中还是在其简单的概括中,或者在具有关于差分旋转的反馈的简单模型中,我们都无法再现等待时间分布的非Poissonic尾部。我们建议,分歧可能仅是显而易见的,并且可能与有限的观测数据有关,并且数值模型的观测和结果可能是一致的,并且代表了物理上类似的发电机状态。

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