Scholarlink

<p>In this study, we report on the processing and analysis of around 10,000 images of the solar disk, obtained from the SOHO and SDO satellites, available in the Helioviewer database. Using our own code, PyMoST (Python Morphological Sunspot Tracker), which employs a mathematical morphology technique, we were able to automatically track and analyze approximately 52,000 sunspots in these images, covering the period from January 1, 1998 to August 28, 2025. By using PyMoST we were able to obtain the distribution of the number of spots as a function of solar latitude and time, accurately reproducing Solar Cycles 23, 24 and the current phase of Solar Cycle 25, in agreement with the literature. In addition, our code was also able to determine the areas and number of sunspots, showing excellent correlation with the results reported by the Royal Greenwich Observatory (RGO), Kodaikanal Solar Observatory (KSO) and the International Sunspot Number - Solar Influences Data Analysis Center (SIDIC), thus consolidating the efficiency of our tool and its importance for the investigation of solar magnetic activity.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Investigating Solar Cycles Using Mathematical Morphology

  • 期刊论文

  • 发表日期：

    2026年1月5日

查看全文
  • Cicero D. Grangeiro,
  • Tharcisyo S. S. Duarte,
  • Jefferson S. da Costa,
  • Hugo R. Coelho,
  • Gilson F. de Oliveira Junior,
  • José-Dias do Nascimento Jr

摘要

In this study, we report on the processing and analysis of around 10,000 images of the solar disk, obtained from the SOHO and SDO satellites, available in the Helioviewer database. Using our own code, PyMoST (Python Morphological Sunspot Tracker), which employs a mathematical morphology technique, we were able to automatically track and analyze approximately 52,000 sunspots in these images, covering the period from January 1, 1998 to August 28, 2025. By using PyMoST we were able to obtain the distribution of the number of spots as a function of solar latitude and time, accurately reproducing Solar Cycles 23, 24 and the current phase of Solar Cycle 25, in agreement with the literature. In addition, our code was also able to determine the areas and number of sunspots, showing excellent correlation with the results reported by the Royal Greenwich Observatory (RGO), Kodaikanal Solar Observatory (KSO) and the International Sunspot Number - Solar Influences Data Analysis Center (SIDIC), thus consolidating the efficiency of our tool and its importance for the investigation of solar magnetic activity.