基于大熊湖太阳观测台（Big Bear Solar Observatory）全日面 H$\alpha$ 蓝翼观测的小型暗条爆发的统计分析（Statistical Analysis）

本文利用大熊湖太阳观测台的高频全日面 H$\alpha$ 蓝翼观测数据，对小型暗条爆发（MFEs）进行了全面的统计分析。研究通过算法识别了大量爆发事件，并揭示了其在长度、寿命及空间分布上的统计特征，包括其呈现出的幂律分布（power-law distribution）规律。

arXiv:2608.20612v1 Announce Type: new Abstract: This paper presents a comprehensive statistical analysis of minifilament eruptions (MFEs) using high-cadence full-disk H$\alpha$ blue-wing observations from Big Bear Solar Observatory. Despite the recognized importance of MFEs for coronal dynamics and solar wind structuring, previous efforts were often limited by small sample sizes or restricted fields of view, leaving open questions about their global occurrence and characteristic properties. We developed an algorithm incorporating intensity thresholding and temporal tracking to detect sudden enhancements in H$\alpha$ blue-wing images. A total of 1986 such events were identified during a 4 hr period on 2020 June 9. These detections were cross-validated using H$\alpha$ line-center observations to confirm the presence of associated filament structures. The analysis yields an occurrence rate of $\sim$6.6$\times 10^4$ per day, an average length of $\sim$17 Mm, and a typical lifetime of $\sim$21 minutes. A power-law distribution in eruption lengths (with slope $\sim$-4.8) and a sublinear scaling between duration and length suggest that larger eruptions tend to last longer. The length distribution of MFEs was further analyzed relative to active region proximity, revealing that eruptions occurring nearby a sunspot region were, on average, larger than the global mean eruption length. Additionally, an eruption density map