Dataset for "Comparative Analysis of Machine Learning Models to Forecast Flaring Capability of Solar Active Regions: A Parameter Based Approach"
收藏Zenodo2021-09-09 更新2026-04-07 收录
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https://zenodo.org/record/5498347
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资源简介:
This CSV file contains the values of 14 selected magnetic features along with the active region class for all the regions used in our study. As discussed in the paper, these 14 magnetic features characterize the properties of active regions. All these magnetic features are obtained from the HMI SHARP data series which provides open-sourced vector magnetic field information of solar active regions. the column named 'AR_class' carries information about the class of active regions i.e., 1 for flaring regions and 0 for non-flaring regions.
本CSV文件收录了本研究涉及的全部太阳活动区的14个精选磁特征数值,以及对应活动区的类别标签。正如论文中所阐述的,这14项磁特征可用于表征太阳活动区的各项物理特性。所有磁特征均源自HMI SHARP数据序列,该数据集开源提供太阳活动区的矢量磁场观测信息。名为'AR_class'的列存储了活动区的类别信息:1代表耀斑活动区,0代表非耀斑活动区。
提供机构:
Center of Excellence in Space Sciences India, Indian Institute of Science Education and Research Kolkata, Mohanpur 741246, West Bengal, India
创建时间:
2021-09-09



