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来自拓特征的太阳动态数据集
M Tarazona-Alvarado1, D Sierra-Porta2
1Universidad Industrial de Santander, Escuela de Física. Car 27 #9, Bucaramanga, 680001, Santander, Colombia.
Data in brief
|November 15, 2023
概括
这项研究引入了一个新的Python脚本和数据集,用于分析来自太阳和日球观测站 (SOHO) 的太阳图像. 它自动化了光谱参数计算,有助于太阳物理学和太空气候学研究.
科学领域:
- * 太阳物理 太阳物理
- * 太空气候学 太空气候学
- * 天体物理学 * 天体物理学
背景情况:
- * 太阳活动动态复杂,需要先进的分析技术.
- *现有的数据集可能缺乏全面的光谱信息或自动处理.
- *跨学科研究需要从太阳观测中集成的数据.
研究的目的:
- * 提供SOHO太阳图像的广泛数据集.
- * 开发和实施一个强大的,太阳图像分析的自动化方法.
- *通过提供精心策划的光谱参数,促进跨学科研究.
主要方法:
- *开发了一个开源的Python库脚本,集成图像采集,处理和参数计算.
- *利用SOHO (太阳和日球天文台) 在各种光谱波段的太阳图像.
- * 采用常规库 (OpenCV,Python图像分析) 和URL库用于数据采集和处理.
- * 应用数据挖掘程序,将多个数据集合成一个全面的汇编.
主要成果:
- * 创建了一个广泛的太阳图像数据集,并计算了光谱参数.
- *自动化了从太阳成像到光谱特征计算的过程.
- * 能够利用拓特征捕获多方面的太阳活动动态.
结论:
- *开发的方法和数据集显著增强了对太阳活动的分析.
- * 太阳物理学和太空气候学的研究人员可以利用这个资源来解开复杂的过程.
- * 开源脚本简化了太阳图像分析,促进了更广泛的可访问性和研究.
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