Results 71 to 80 of about 2,286 (221)

ULF Wave Modulation of Energetic Electron Precipitation Caused by the Self‐Limiting of Space Radiation: May 2024 Superstorm Observations

open access: yesJournal of Geophysical Research: Space Physics, Volume 131, Issue 4, April 2026.
Abstract The May 2024 geomagnetic superstorm provided the opportunity to explore how strong wave‐particle interactions affect energetic electron precipitation under intense driving. Using coordinated measurements from a balloon‐borne Timepix‐based X‐ray detector, ground‐based riometers and magnetometers, and Arase satellite observations, we identified ...
L. Olifer   +22 more
wiley   +1 more source

Extreme ultraviolet imaging of three-dimensional magnetic reconnection in a solar eruption

open access: yes, 2015
X.C., J.Q.S., M.D.D., Y.G., P.F.C. and C.F. are supported by NSFC through grants 11303016, 11373023, 11203014 and 11025314, and by NKBRSF through grants 2011CB811402 and 2014CB744203. C.E.P. and S.J.E. are supported by the UK STFC. J.Z.
Sun, J.Q.   +9 more
core   +1 more source

Slow magnetoacoustic waves in coronal loops : EIT and TRACE [PDF]

open access: yes, 2001
On May 13, 1998 the EIT (Extreme ultraviolet Imaging Telescope) on board of SoHO (Solar and Heliospheric Observatory) and TRACE (Transition Region And Coronal Explorer) instruments produced simultaneous high cadence image sequences of the same active ...
E. Robbrecht   +14 more
core   +1 more source

Waves in Solar Coronal Loops

open access: yes, 2018
24 pages, 6 figures, published in ...
openaire   +2 more sources

Deciphering the “Missing Xenon Paradox” in Celestial Bodies: A Multifaceted Perspective Toward Demystifying This Enigma

open access: yesJournal of Geophysical Research: Planets, Volume 131, Issue 4, April 2026.
Abstract Xenon (Xe) is a heavy noble gas with intriguing chemical properties, such as having several stable isotopes and the ability to form compounds under extreme conditions. Despite the predictions based on cosmochemical models that suggest xenon should be relatively abundant in planetary reservoirs, empirical data indicate a significant depletion ...
Avinash Kumar Both   +2 more
wiley   +1 more source

Coronal Heating from Alfvén Wave Turbulence in Solar Coronal Loops

open access: yes, 2020
Many scientific theories have been proposed in the hopes of better understanding the coronal heating problem. This project largely focuses on the theory that the Solar Corona is heated by Alfvén Wave turbulence from solar coronal loops.
Hamann, Sydney
core   +1 more source

Modeling the Propagation of Slow Magnetoacoustic Waves in a Multistranded Coronal Loop

open access: yesThe Astrophysical Journal
We study the propagation properties of slow magnetoacoustic waves in a multithermal coronal loop using a 3D MHD model, for the first time. A bundle of 33 vertical cylinders, each of 100 km radius, randomly distributed over a circular region of radius 1 ...
S. Krishna Prasad, T. Van Doorsselaere
doaj   +1 more source

Human‐Interpretable SEP Event Prediction Using White‐Box Explainable AI

open access: yesSpace Weather, Volume 24, Issue 4, April 2026.
Abstract Solar energetic particle (SEP) events pose radiation risks to astronauts and space systems, making their prediction essential. Although various prediction models have been developed, most machine learning (ML)‐based models lack interpretability; that is, it is difficult to explain the reasons behind individual predictions.
Naho Fujita   +4 more
wiley   +1 more source

Solar Stereoscopy and Tomography

open access: yesLiving Reviews in Solar Physics, 2011
We review stereoscopic and tomographic methods used in the solar corona, including ground-based and space-based measurements, using solar rotation or multiple spacecraft vantage points, in particular from the STEREO mission during 2007--2010 ...
Markus J. Aschwanden
doaj  

Detection of Kink Oscillations in Solar Coronal Loops by a Convolutional Neural Network–Long Short-term Memory Neural Network

open access: yesThe Astrophysical Journal Supplement Series
A hybrid machine learning model, which combines a shallow convolutional neural network and a long short-term memory (CNN-LSTM) network, has been developed to automate the detection of kink oscillations in coronal plasma loops within large volumes of high-
Sergey A. Belov   +3 more
doaj   +1 more source

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