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The 3D structure of an active region (AR) filament is studied using nonlinear force-free field (NLFFF) extrapolations based on simultaneous observations at a photospheric and a chromospheric height. To that end, we used the Si I 10827 \AA\…

太阳与恒星天体物理 · 物理学 2015-06-03 L. Yelles Chaouche , C. Kuckein , V. Martínez Pillet , F. Moreno-Insertis

A statistical study of 77 solar active regions (ARs) is conducted to investigate the existence of identifiable correlations between the subsurface structural disturbances and the activity level of the active regions. The disturbances…

太阳与恒星天体物理 · 物理学 2015-12-23 Chia-Hsien Lin

Recent studies indicate that a small number of rogue solar active regions (ARs) may have a significant impact on the end-of-cycle polar field and the long-term behavior of solar activity. The impact of individual ARs can be qualified based…

太阳与恒星天体物理 · 物理学 2024-05-13 Ruihui Wang , Jie Jiang , Yukun Luo

We take advantage of the HMI/SDO instrument to study the naked emergence of active regions from the first imprints of the magnetic field on the solar surface. To this end, we followed the first 24 hours in the life of two rather isolated…

太阳与恒星天体物理 · 物理学 2015-06-11 Rebecca Centeno

Identifying solar active regions (ARs), which consist of one or more pairs of magnetic patches with opposite polarities, is essential due to their significant role in dynamic solar atmospheric phenomena. In this study, we analyze ARs during…

太阳与恒星天体物理 · 物理学 2025-09-16 Zahra Tajik , Hasan Rezaei , Mehdi Simiari , Hossien Safari

In this dataset we provide a comprehensive collection of magnetograms (images quantifying the strength of the magnetic field) from the National Aeronautics and Space Administration's (NASA's) Solar Dynamics Observatory (SDO). The dataset…

太阳与恒星天体物理 · 物理学 2024-02-13 Laura E. Boucheron , Ty Vincent , Jeremy A. Grajeda , Ellery Wuest

Solar active regions (ARs) are the places hosting the majority of solar eruptions. Studying the evolution and morphological features of ARs is not only of great significance to the understanding of the physical mechanisms of solar…

太阳与恒星天体物理 · 物理学 2025-02-26 Ruishuo Chen , Wutong Lu , Qi Hao , Yifan Meng , Pengfei Chen , Chenxi Shi

We have performed a three-dimensional magnetohydrodynamic simulation to study the emergence of a twisted magnetic flux tube from -20,000 km of the solar convection zone to the corona through the photosphere and the chromosphere. The middle…

太阳与恒星天体物理 · 物理学 2015-06-03 S. Toriumi , T. Yokoyama

Statistical properties of the Sun's photospheric turbulent magnetic field, especially those of the Active Regions (ARs), have been studied using the line-of-sight data from magnetograms taken by SOHO and several other instruments (see e.g.…

太阳与恒星天体物理 · 物理学 2013-07-17 Shiva Kumar. Malapaka , Wolf-Christian Mueller

The interaction between emerging active regions and the pre-existing coronal magnetic field is important to understand better the mechanisms of storage and release of magnetic energy from the convection zone to the high corona. We are…

太阳与恒星天体物理 · 物理学 2015-06-05 S. Regnier

Sunspot regions often form complexes of activity that may live for several solar rotations, and represent a major component of the Sun's magnetic activity. It had been suggested that the close appearance of active regions in space and time…

太阳与恒星天体物理 · 物理学 2015-05-27 A. G. Kosovichev , T. L. Duvall

We used magnetograms acquired with the {\it Helioseismic and Magnetic Imager} (HMI) on board the {\it Solar Dynamics Observatory} (SDO) to calculate and analyze spatial correlation functions and the multi-fractal spectra in solar active…

太阳与恒星天体物理 · 物理学 2024-04-11 Valentina Abramenko , Regina Suleymanova

The variation of solar irradiance is one of the natural forcing mechanisms of the terrestrial climate. Hence, the time-dependent solar irradiance is an important input parameter for climate modelling. The solar surface magnetic field is a…

太阳与恒星天体物理 · 物理学 2015-05-11 Omar Ashamari , Rami Qahwaji , Stan Ipson , Micha Scholl , Omar Nibouche , Margit Haberreiter

The dynamics of active region (AR) 12673 is qualitatively studied using observational data obtained with the Helioseismic and Magnetic Imager of the Solar Dynamics Observatory on August 31--September 8, 2017. This AR was remarkable for its…

太阳与恒星天体物理 · 物理学 2019-06-27 A. V. Getling

Active regions (ARs) are typical magnetic structures found in the solar atmosphere. We calculate several magnetohydrostatic (MHS) equilibrium models that include the effect of a finite plasma-$\beta$ and gravity and that are representative…

太阳与恒星天体物理 · 物理学 2023-03-08 Jaume Terradas , Thomas Neukirch

We have performed numerical magnetohydrodynamic (MHD) simulations of two closed active regions (AR). The input magnetic field values were the coronal magnetic field computed as extrapolation coronal from observations of the photospheric…

太阳与恒星天体物理 · 物理学 2017-03-21 Cristiana Dumitrache

AIMS :The thermodynamic and magnetic field structure of the solar photosphere is analyzed by means of a novel 3-dimensional spectropolarimetric inversion and reconstruction technique. METHODS : On the basis of high-resolution,…

天体物理学 · 物理学 2008-03-10 T. A. Carroll , M. Kopf

We analyze data from the Helioseismic Magnetic Imager (HMI) and the Atmospheric Imaging Assembly (AIA) instruments on board the Solar Dynamics Observatory (SDO) to characterize the spatio-temporal acoustic power distribution in active…

太阳与恒星天体物理 · 物理学 2017-11-06 S. C. Tripathy , K. Jain , S. Kholikov , F. Hill , S. P. Rajaguru , P. S. Cally

Solar active regions (ARs) determine solar polar fields and cause solar cycle variability within the framework of the Babcock-Leighton (BL) dynamo. The contribution of an AR to the polar field is measured by its dipole field, which results…

太阳与恒星天体物理 · 物理学 2025-06-03 Ruihui Wang , Jie Jiang , Yukun Luo

Image super-resolution has been an important subject in image processing and recognition. Here, we present an attention-aided convolutional neural network (CNN) for solar image super-resolution. Our method, named SolarCNN, aims to enhance…

太阳与恒星天体物理 · 物理学 2024-03-28 Chunhui Xu , Jason T. L. Wang , Haimin Wang , Haodi Jiang , Qin Li , Yasser Abduallah , Yan Xu
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