Search Publications
Fourier and Wavelet Analysis of Coronal Mass Ejections during Solar Cycles 23–25: Angular Widths and Latitudinal Distribution
Xu, Tingting; Deng, Linhua; Wan, Miao +6 more
Coronal mass ejections (CMEs), the large-scale eruptions of plasma and magnetic fields from the solar corona, play a critical role in space weather and solar–terrestrial interactions. Understanding the periodicities of CMEs is essential for predicting their occurrences and impacts, but their quasiperiodic variations in different cycles, at differe…
Physically Motivated Deep Learning to Superresolve and Cross Calibrate Solar Magnetograms
Maloney, Shane A.; Muñoz-Jaramillo, Andrés; Wright, Paul J. +7 more
Superresolution (SR) aims to increase the resolution of images by recovering detail. Compared to standard interpolation, deep learning-based approaches learn features and their relationships to leverage prior knowledge of what low-resolution patterns look like in higher resolution. Deep neural networks can also perform image cross-calibration by l…
CAMEL. II. A 3D Coronal Mass Ejection Catalog Based on Coronal Mass Ejection Automatic Detection with Deep Learning
Zhang, Yan; Feng, Li; Lu, Lei +5 more
Coronal mass ejections (CMEs) are major drivers of geomagnetic storms, which may cause severe space weather effects. Automating the detection, tracking, and three-dimensional (3D) reconstruction of CMEs is important for operational predictions of CME arrivals. The COR1 coronagraphs on board the Solar Terrestrial Relations Observatory spacecraft ha…
An Algorithm for the Determination of Coronal Mass Ejection Kinematic Parameters Based on Machine Learning
Shen, Fang; Yang, Yi; Li, Yucong +2 more
Coronal mass ejections (CMEs) constitute the major source of severe space weather events, with the potential to cause enormous damage to humans and spacecraft in space. It is becoming increasingly important to detect and track CMEs, since there are more and more space activities and facilities. We have developed a new algorithm to automatically de…
CME Arrival Time Prediction via Fusion of Physical Parameters and Image Features
Xu, Long; Huang, Xin; Zhao, Dong +1 more
Coronal mass ejections (CMEs) are among the most intense phenomena in the Sun–Earth system, often resulting in space environment effects and consequential geomagnetic disturbances. Consequently, quickly and accurately predicting CME arrival time is crucial to minimize the harm caused to the near-Earth space environment. To forecast the arrival tim…
A Multibranch Deep Neural Network for the Superresolution of Solar Magnetograms
Xu, Long; Zhao, Dong; Dou, Fengping +1 more
The existing superresolution (SR) models for solar magnetograms are mostly borrowed from the SR models for natural images. They are less effective for processing solar magnetograms with a very large dynamic range and very rich image features. In this paper, a multibranch superresolution (MBSR) model is specially designed for solar magnetograms. Fi…
AutoTAB: Automatic Tracking Algorithm for Bipolar Magnetic Regions
Banerjee, Dipankar; Sreedevi, Anu; Jha, Bibhuti Kumar +1 more
Bipolar magnetic regions (BMRs) provide crucial information about solar magnetism. They exhibit varying morphology and magnetic properties throughout their lifetime, and studying these properties can provide valuable insights into the workings of the solar dynamo. The majority of previous studies have counted every detected BMR as a new one and ha…
A Data-driven, Physics-based Transport Model of Solar Energetic Particles Accelerated by Coronal Mass Ejection Shocks Propagating through the Solar Coronal and Heliospheric Magnetic Fields
Riley, Pete; Zhang, Ming; Lario, David +5 more
In an effort to develop computational tools for predicting radiation hazards from solar energetic particles (SEPs), we have created a data-driven physics-based particle transport model to calculate the injection, acceleration, and propagation of SEPs from coronal mass ejection (CME) shocks traversing through the solar corona and interplanetary mag…
Prediction of the Transit Time of Coronal Mass Ejections with an Ensemble Machine-learning Method
Yang, Y.; Feng, X. S.; Chen, P. F. +2 more
Coronal mass ejections (CMEs), a kind of violent solar eruptive activity, can exert a significant impact on space weather. When arriving at the Earth, they interact with the geomagnetic field, which can boost the energy supply to the geomagnetic field and may further result in geomagnetic storms, thus having potentially catastrophic effects on hum…
A Coronal Mass Ejection Source Region Catalog and Their Associated Properties
Pant, Vaibhav; Banerjee, Dipankar; Patel, Ritesh +4 more
The primary objective of this study is to connect coronal mass ejections (CMEs) to their source regions, primarily to create a CME source region catalog, and secondarily to probe the influence that the source regions have on the different statistical properties of CMEs. We create a source region catalog for 3327 CMEs from 1998 to 2017, thus captur…