The Lunar Environment Heliophysics X-ray Imager (LEXI) Mission

BM Walsh, KD Kuntz, S Busk, T Cameron… - Space Science …, 2024 - Springer
Abstract The Lunar Environment heliospheric X-ray Imager (LEXI) is a wide field-of-view soft
X-ray telescope developed to study solar wind-magnetosphere coupling. LEXI is part of the …

The effect of fast solar wind on ion distribution downstream of earth's bow shock

F Koller, S Raptis, M Temmer… - The Astrophysical …, 2024 - iopscience.iop.org
The solar wind gets thermalized and compressed when crossing a planetary bow shock,
forming the magnetosheath. The angle between the upstream magnetic field and the shock …

The Cluster spacecrafts' view of the motion of the high-latitude magnetopause

N Grimmich, F Plaschke, B Grison… - Annales …, 2024 - angeo.copernicus.org
The magnetopause is the boundary between the interplanetary magnetic field and the
terrestrial magnetic field. It is influenced by different solar-wind conditions, which lead to a …

Exploring localized geomagnetic disturbances in global MHD: Physics and numerics

EM Vandegriff, DT Welling, A Mukhopadhyay… - Space …, 2024 - Wiley Online Library
One of the prominent effects of space weather is the formation of rapid geomagnetic field
variations on Earth's surface driven by the magnetosphere‐ionosphere system. These …

Classifying 8 years of MMS dayside plasma regions via unsupervised machine learning

V Toy‐Edens, W Mo, S Raptis… - Journal of Geophysical …, 2024 - Wiley Online Library
Abstract The Magnetospheric Multiscale (MMS) mission has probed Earth's magnetosphere,
magnetosheath, and near‐Earth solar wind for over 8 years. We utilize an unsupervised …

Comparative Analysis of Various Machine-Learning Models for Solar-Wind Propagation-Delay Estimation

H Raju, S Das - Solar Physics, 2024 - Springer
Geomagnetic storms resulting from solar disturbances impact telecommunication and
satellite systems. Satellites are positioned at Lagrange point L1 to monitor these …

PRIME‐SH: A data‐driven probabilistic model of Earth's magnetosheath

C O'Brien, BM Walsh, Y Zou, R Qudsi… - Journal of …, 2024 - Wiley Online Library
A data‐driven model of Earth's magnetosheath is developed by training a recurrent neural
network (RNN) with probabilistic outputs to reproduce Magnetospheric MultiScale (MMS) …

Development of a Layered Unsupervised Classifier of Plasma Regions and a Bootstrap-Ensemble Neural Network Bow Shock Model

J Edmond - 2024 - search.proquest.com
The use of supervised methods in space science have demonstrated powerful capability in
classification tasks, but purely unsupervised methods have been less utilized for the …