中文
相关论文

相关论文: Onboard Automated CME Detection Algorithm for Visi…

200 篇论文

Coronal mass ejections (CMEs) can create significant disruption to human activities and systems on Earth, much of which can be mitigated with prior warning of the upstream solar wind conditions. However, it is currently extremely…

High contrast coronagraphic imaging of the immediate surrounding of stars requires exquisite control of low-order wavefront aberrations, such as tip-tilt (pointing) and focus. We propose an accurate, efficient and easy to implement…

天体物理仪器与方法 · 物理学 2011-02-11 Olivier Guyon , Taro Matsuo , Roger Angel

Coronal mass ejections (CMEs) are the largest-scale eruptive phenomena in the solar system. Associated with enormous plasma ejections and energy release, CMEs have an important impact on the solar-terrestrial environment. Accurate…

太阳与恒星天体物理 · 物理学 2022-06-29 Zihao Yang , Hui Tian , Xianyong Bai , Yajie Chen , Yang Guo , Yingjie Zhu , Xin Cheng , Yuhang Gao , Yu Xu , Hechao Chen , Jiale Zhang

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

Solar coronal mass ejections (CMEs) are large-scale eruptions of plasma and magnetic field from the Sun into the corona and interplanetary space. They are the most significant drivers of adverse space weather at Earth and other locations in…

太阳与恒星天体物理 · 物理学 2012-02-20 Jason P. Byrne

In recent years, coronary artery disease is escalating and is likely to assume an epidemic proportion by 2030. Currently the reliable methods for detection of coronary arterial lesions are either conventional coronary angiogram (CAG) or…

Coronal mass ejections (CMEs) and other solar eruptive phenomena can be physically linked by combining data from a multitude of ground-based and space-based instruments alongside models, however this can be challenging for automated…

We propose a fully automated algorithm based on a deep learning framework enabling screening of a coronary computed tomography angiography (CCTA) examination for confident detection of the presence or absence of coronary artery…

图像与视频处理 · 电气工程与系统科学 2020-06-09 Sema Candemir , Richard D. White , Mutlu Demirer , Vikash Gupta , Matthew T. Bigelow , Luciano M. Prevedello , Barbaros S. Erdal

We present an analysis of the fast coronal mass ejection (CME) of 2012 March 7, which was imaged by both STEREO spacecraft and observed in situ by MESSENGER, Venus Express, Wind and Mars Express. Based on detected arrivals at four different…

太阳与恒星天体物理 · 物理学 2014-07-18 T. Rollett , C. Moestl , M. Temmer , R. A. Frahm , J. A. Davies , A. M. Veronig , B. Vrsnak , U. V. Amerstorfer , C. J. Farrugia , T. Zic , T. L. Zhang

In this paper we present a statistical study of the kinematics of 28894 coronal mass ejections (CMEs) recorded by the Large Angle and Spectrometric Coronagraph (LASCO) on board the Solar and Heliospheric Observatory spacecraft from 1996…

太阳与恒星天体物理 · 物理学 2020-10-07 Anitha Ravishankar , Grzegorz Michalek , Seiji Yashiro

Solar coronal mass ejections (CMEs) are the most significant drivers of adverse space weather at Earth, but the physics governing their propagation through the heliosphere is not well understood. While stereoscopic imaging of CMEs with the…

太阳与恒星天体物理 · 物理学 2010-11-15 Jason P. Byrne , Shane A. Maloney , R. T. James McAteer , Jose M. Refojo , Peter T. Gallagher

LGE CMR is an efficient technology for detecting infarcted myocardium. An efficient and objective ventricle segmentation method in LGE can benefit the location of the infarcted myocardium. In this paper, we proposed an automatic framework…

图像与视频处理 · 电气工程与系统科学 2019-09-19 Yashu Liu , Wei Wang , Kuanquan Wang , Chengqin Ye , Gongning Luo

The Solar TErrestrial RElations Observatory (STEREO) mission has laid a foundation for advancing real-time space weather forecasting by enabling the evaluation of heliospheric imager (HI) data for predicting coronal mass ejection (CME)…

Coronal mass ejections (CMEs) are solar eruptions of plasma and magnetic fields that significantly impact Space Weather, causing disruptions in technological systems and potential damage to power grids when directed towards Earth.…

太阳与恒星天体物理 · 物理学 2024-10-07 Shantanu Jain , Tatiana Podladchikova , Galina Chikunova , Karin Dissauer , Astrid M. Veronig

Interplanetary coronal mass ejections (ICMEs) are one of the main drivers for space weather disturbances. In the past, different approaches have been used to automatically detect events in existing time series resulting from solar wind in…

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

Context. Stellar coronal mass ejections (CMEs) are the primary driver of the exoplanetary space weather and they could affect the habitability of exoplanets. However, detections of possible stellar CME signatures are extremely rare. Aims.…

The European Space Agency's Gaia satellite was launched into orbit around L2 in December 2013 with a payload containing 106 large-format scientific CCDs. The primary goal of the mission is to repeatedly obtain high-precision astrometric and…

We present a statistical analysis of coronal mass ejections (CMEs) imaged by the Heliospheric Imager (HI) instruments aboard NASAs twin-spacecraft STEREO mission between April 2007 and August 2017 for STEREO-A and between April 2007 and…

Forecasting the arrival of coronal mass ejections (CMEs) is vital for protecting satellites, power systems, and human spaceflight. We present HELIOPANDA: Heliospheric Observer for Predicting CME Arrival via Nonlinear Drag Assimilation, a…

太阳与恒星天体物理 · 物理学 2025-10-01 Zaina Abu-Shaar , Tatiana Podladchikova , Astrid M. Veronig , Mateja Dumbovic , Stefan J. Hofmeister