COMPARISON OF THE DYNAMICS OF CORONAL HOLES IDENTIFIED BY TWO DETECTION METHODS IN SOLAR ACTIVITY CYCLES 24-25
Authors:
1.
Crimean Astrophysical Observatory of the Russian Academy of Sciences
Type:
Сonference article
Published:
27.12.2024
Subject area:
UDK 52 Астрономия. Геодезия
UDK 53 Физика
UDK 520 Инструменты, приборы и методы астрономических наблюдений, измерений и анализа
UDK 521 Теоретическая астрономия. Небесная механика. Фундаментальная астрономия. Теория динамической и позиционной астрономии
UDK 523 Солнечная система
UDK 524 Звезды и звездные системы. Вселенная Солнце и Солнечная система
UDK 52-1 Метод изучения
UDK 52-6 Излучение и связанные с ним процессы
GRNTI 41.00 АСТРОНОМИЯ
GRNTI 29.35 Радиофизика. Физические основы электроники
GRNTI 29.31 Оптика
GRNTI 29.33 Лазерная физика
GRNTI 29.27 Физика плазмы
GRNTI 29.05 Физика элементарных частиц. Теория полей. Физика высоких энергий
OKSO 03.06.01 Физика и астрономия
OKSO 03.05.01 Астрономия
OKSO 03.04.03 Радиофизика
BBK 2 ЕСТЕСТВЕННЫЕ НАУКИ
BBK 223 Физика
TBK 614 Астрономия
TBK 6135 Оптика
BISAC SCI004000 Astronomy
BISAC SCI005000 Physics / Astrophysics
UDK 53 Физика
UDK 520 Инструменты, приборы и методы астрономических наблюдений, измерений и анализа
UDK 521 Теоретическая астрономия. Небесная механика. Фундаментальная астрономия. Теория динамической и позиционной астрономии
UDK 523 Солнечная система
UDK 524 Звезды и звездные системы. Вселенная Солнце и Солнечная система
UDK 52-1 Метод изучения
UDK 52-6 Излучение и связанные с ним процессы
GRNTI 41.00 АСТРОНОМИЯ
GRNTI 29.35 Радиофизика. Физические основы электроники
GRNTI 29.31 Оптика
GRNTI 29.33 Лазерная физика
GRNTI 29.27 Физика плазмы
GRNTI 29.05 Физика элементарных частиц. Теория полей. Физика высоких энергий
OKSO 03.06.01 Физика и астрономия
OKSO 03.05.01 Астрономия
OKSO 03.04.03 Радиофизика
BBK 2 ЕСТЕСТВЕННЫЕ НАУКИ
BBK 223 Физика
TBK 614 Астрономия
TBK 6135 Оптика
BISAC SCI004000 Astronomy
BISAC SCI005000 Physics / Astrophysics
Language:
English
Keywords:
methods: data analysis; techniques: image processing; Sun: corona
Funding:
This work was supported by the Ministry of Science and Higher Education of the Russian Federation under the State Assignment (Theme No. 122022400224-7).
Abstract (English):
In this study, we analyze for the first time the long-term variations of coronal holes (CHs) identified by two different automatic detection schemes: Spatial Possibilistic Clustering Algorithm (SPoCA) and Convolutional Neural Network (CNN193). The source material was the observational data acquired by the Atmospheric Imaging Assembly instrument onboard the Solar Dynamics Observatory (AIA/SDO) in the Fe XII 19.3 nm line in the period from June 16, 2010, to May 13, 2021. An initial analysis comparing the long-term variations of the CH areas extracted by the SPoCA method and used by us in earlier works to study their evolution at different stages of the 24th and at the beginning of the 25th cycles showed fairly good agreement with the trend of the CH areas identified by the CNN193 algorithm for the same period. Both schemes reveal hemispheric asymmetry in the generation of CHs both in time and in amplitude.
In this study, we analyze for the first time the long-term variations of coronal holes (CHs) identified by two different automatic detection schemes: Spatial Possibilistic Clustering Algorithm (SPoCA) and Convolutional Neural Network (CNN193). The source material was the observational data acquired by the Atmospheric Imaging Assembly instrument onboard the Solar Dynamics Observatory (AIA/SDO) in the Fe XII 19.3 nm line in the period from June 16, 2010, to May 13, 2021. An initial analysis comparing the long-term variations of the CH areas extracted by the SPoCA method and used by us in earlier works to study their evolution at different stages of the 24th and at the beginning of the 25th cycles showed fairly good agreement with the trend of the CH areas identified by the CNN193 algorithm for the same period. Both schemes reveal hemispheric asymmetry in the generation of CHs both in time and in amplitude.
Keywords:
methods: data analysis; techniques: image processing; Sun: corona
methods: data analysis; techniques: image processing; Sun: corona
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