مقالۀ پژوهشی: استخراج ویژگی های آماری حلقه های تاج خورشید از تصاویر تلسکوپ فضایی اس دی او

نوع مقاله : مقاله پژوهشی

نویسنده

استادیار، فیزیک، علوم پایه، دانشگاه پیام نور، تهران

چکیده

تصاویر فرابنفشِ دور حلقه‌های تاج خورشید اطلاعات زیادی را درباره‌ی ساختار رنگین‌سپهر، ناحیه‌ی انتقال و تاج و میدان مغناطیسی خورشید در اختیار ما می‌گذارد. این ساختارها به طور پیوسته در حرکت و تغییرند و اطلاعات جمع‌آوری شده از این تصاویر بسیار زیادند به طوری که در تلسکوپ فضایی‌ SDO به ۱/۶ ترابایت اطلاعات در روز می‌رسد. این حجم وسیع از اطلاعات و تصاویر باید کاهش یافته و پردازش شوند و این کار نیازمند گسترش ابزارهای تحلیل خودکار داده‌های تصاویر خورشید است. به ویژه بررسی حلقه‌های تاج خورشید نیازمند استخراج دقیق آن‌ها از تصاویر ارسالی از تلسکوپ‌های فضایی‌ است. ما در این مقاله به معرفی و بررسی روش‌های پردازش تصاویر و تشخیص و استخراج حلقه‌های تاج خورشید در نواحی فعال می‌پردازیم. مقدمات مربوط به ردیابی الگو و ریخت در تصاویر دیجیتال را بیان می‌کنیم و بررسی‌های اخیر درباره‌ی روش‌های پردازش تصاویر و تشخیص الگو در فیزیک خورشید را معرفی می‌کنیم. سپس به استخراج حلقه‌های تاج خورشید می-پردازیم و تکنیک‌های لازم برای این امر را گسترش می‌دهیم. این داده‌ها و ابزارهای مرتبط و کدهای گسترش یافته در تحلیل‌های مختلف از فعل و انفعالات حلقه‌های تاج خورشید موثر خواهند بود.

کلیدواژه‌ها


عنوان مقاله [English]

Research Paper: Extraction of Statistical Properties of Solar Coronal Loops From Images of the Solar Dynamics Observatory Space Telescope

نویسنده [English]

  • Narges Fathalian
Assistant Professor, Physics, Basic Sciences, PayameNour University, Tehran, Iran
چکیده [English]

Coronal loops ExtremeUltraViolet (EUV) images provide us a lot of information about the structure of the chromospheres, the transition zone, the corona and the solar magnetic field. These structures are constantly moving and changing and the collected information from these images are too much such that in SDO reach to 1.6 TeraByte of data per day. This huge amount of information and images should be reduced and processed and this needs the development of the automated analysis tools of the solar images data. Especially investigation of the coronal loops needs exact extraction of them from the received images. In this paper we introduce and investigate the image processing methods, recognition and extraction of the coronal loops in active regions. We express the introductions regarding to trace patterns and features in digital images and present the recent studies about image processing methods and pattern recognition in solar physics. Afterwards we extract the coronal loops and develop the required techniques for that. These data, related tools and extended codes will be effective in various analysis of the coronal loops interactions.

کلیدواژه‌ها [English]

  • Corona
  • Solar Active Region
  • SDO
  • Corona Image Processing
  • Loops Extraction
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