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In this study we refine a CME model presented in an earlier study on the global energetics of solar flares and associated CMEs, and apply it to all (860) GOES M- and X-class flare events observed during the first 7 years (2010-2016) of the…

太阳与恒星天体物理 · 物理学 2017-09-26 Markus J. Aschwanden

The coronagraph is an instrument enables the investigation of faint features in the vicinity of the Sun, particularly coronal mass ejections (CMEs). So far coronagraphic observations have been mainly used to determine the geometric and…

太阳与恒星天体物理 · 物理学 2017-01-18 Kyuhyoun Cho , Jongchul Chae , Eun-kyung Lim , Kyung-suk Cho , Su-Chan Bong , Heesu Yang

Recently, we developed the Correlation-Aided Reconstruction (CORAR) method to reconstruct solar wind inhomogeneous structures, or transients, using dual-view white-light images (Li et al. 2020; Li et al. 2018). This method is proved to be…

太阳与恒星天体物理 · 物理学 2022-09-14 Shaoyu Lyu , Yuming Wang , Xiaolei Li , Jingnan Guo , Chuanbing Wang , Quanhao Zhang

Measurements of the plasma parameters of coronal mass ejections (CMEs), particularly the magnetic field and nonthermal electron population entrained in the CME plasma, are crucial to understand their propagation, evolution, and…

太阳与恒星天体物理 · 物理学 2023-06-22 Devojyoti Kansabanik , Surajit Mondal , Divya Oberoi

Coronal mass ejections (CMEs) are a major driver of space weather. To assess CME geoeffectiveness, among other scientific goals, it is necessary to reliably identify and characterize their morphology and kinematics in coronagraph images.…

The mass evolution of a coronal mass ejection (CME) is an important parameter characterizing the drag force acting on a CME as it propagates through interplanetary space. Spacecraft measure in-situ plasma densities of CMEs during crossing…

太阳与恒星天体物理 · 物理学 2019-04-26 L. Holzknecht , M. Temmer , M. Dumbovic , S. Wellenzohn , K. Krikova , S. G. Heinemann , M. Rodari , B. Vrsnak , A. M. Veronig

Eruptions of coronal mass ejections (CMEs) from the Sun are usually associated with a number of signatures that can be identified in solar disc imagery. However, there are cases in which a CME that is well observed in coronagraph data is…

Our study attempts to understand the collision characteristics of two coronal mass ejections (CMEs) launched successively from the Sun on 2013 October 25. The estimated kinematics, from three-dimensional (3D) reconstruction techniques…

太阳与恒星天体物理 · 物理学 2016-11-09 Wageesh Mishra , Yuming Wang , Nandita Srivastava

The reconstruction of images from a small number of projections using the maximum-entropy method (MEM) with the Shannon entropy is considered. MEM provides higher-quality image reconstruction for sources with extended components than the…

天体物理学 · 物理学 2008-11-26 Anisa T. Bajkova

The spectra of coronal mass ejections (CMEs) in the low corona play a crucial role in understanding their origins and physical mechanism, and enhancing space weather forecasting. However, capturing these spectra faces significant…

太阳与恒星天体物理 · 物理学 2025-04-01 Lami Chan , Xianyong Bai , Hui Tian , Yufei Feng , Yu Xu , Tibor Török , Yuhang Gao , Tanmoy Samanta , Zheng Sun

The generalized maximum entropy method (GMEM) is a special modification of the standard maximum entropy method (MEM) which seeks solutions in the space of complex functions. In this work a reduced version of the GMEM intended for…

天体物理学 · 物理学 2015-06-24 Anisa T. Bajkova

We describe a geometric triangulation technique, based on time-elongation maps constructed from imaging observations, to track coronal mass ejections (CMEs) continuously in the heliosphere and predict their impact on the Earth. Taking…

太阳与恒星天体物理 · 物理学 2015-05-14 Ying Liu , Jackie A. Davies , Janet G. Luhmann , Angelos Vourlidas , Stuart D. Bale , Robert P. Lin

The geo-effectiveness of coronal mass ejections (CMEs) is determined primarily by their magnetic fields. Modeling of Gyrosynchrotron (GS) emission is a promising remote sensing technique to measure the CME magnetic field at coronal heights.…

太阳与恒星天体物理 · 物理学 2024-06-12 Devojyoti Kansabanik , Surajit Mondal , Divya Oberoi

Maximum Entropy is an image reconstruction method conceived to image a sparsely occupied field of view and therefore particularly appropriate to achieve super-resolution effects. Although widely used in image deconvolution, this method has…

太阳与恒星天体物理 · 物理学 2020-05-13 Paolo Massa , Richard Schwartz , A Kim Tolbert , Anna Maria Massone , Brian R Dennis , Michele Piana , Federico Benvenuto

Cryo-electron microscopy (cryo-EM) has become a central tool for high-resolution structural biology, yet the massive scale of datasets (often exceeding 100k particle images) renders 3D reconstruction both computationally expensive and…

计算机视觉与模式识别 · 计算机科学 2025-10-03 Huaizhi Qu , Xiao Wang , Gengwei Zhang , Jie Peng , Tianlong Chen

The diffuse morphology and transient nature of coronal mass ejections (CMEs) make them difficult to identify and track using traditional image processing techniques. We apply multiscale methods to enhance the visibility of the faint CME…

太阳与恒星天体物理 · 物理学 2009-02-20 Jason P. Byrne , Peter T. Gallagher , R. T. James McAteer , C. Alex Young

(Shortened version) Current efforts in space weather forecasting of CMEs have been focused on predicting their arrival time and magnetic structure. To make predictions, methods have been developed to derive the true CME speed, size and…

Imaging distributions of radioactive sources plays a substantial role in nuclear medicine as well as in monitoring nuclear waste and its deposit. Coded Aperture Imaging has been proposed as an alternative to parallel or pinhole collimators,…

医学物理 · 物理学 2023-01-12 T. Meißner , V. Rozhkov , J. Hesser , W. Nahm , N. Loew

Some of the major challenges faced in understanding the early evolution of Coronal Mass Ejections (CMEs) are due to limited observations in the inner corona ($<\,3$ R$_{\odot}$) and the plane of sky measurements. In this work, we have thus…

太阳与恒星天体物理 · 物理学 2022-04-20 Satabdwa Majumdar , Ritesh Patel , Vaibhav Pant

Deconvolving COMPTEL gamma-ray data into images presents a major methodological challenge. We developed a new algorithm called Multiresolution Regularized Expectation Maximization (MREM), which explicitly accounts for spatial correlations…