Estimation model of global ionospheric irregularities: An artificial intelligence approach

P Tian, B Yu, H Ye, X Xue, J Wu, T Chen - Space weather, 2022‏ - Wiley Online Library
The ionospheric sporadic E layer, the ionospheric irregularities of enhanced electron
density, appears in the Earth's ionosphere at altitudes between 90 and 120 km, which …

A Machine Learning Approach to Understanding the Physical Properties of Magnetic Flux Ropes in the Solar Wind at 1 au

H Farooki, Y Abduallah, SJ Noh, H Kim… - The Astrophysical …, 2024‏ - iopscience.iop.org
Interplanetary magnetic flux ropes (MFRs) are commonly observed structures in the solar
wind, categorized as magnetic clouds (MCs) and small-scale MFRs (SMFRs) depending on …

Machine learning detection of dust impact signals observed by the Solar Orbiter

A Kvammen, K Wickstrøm, S Kociscak… - Annales …, 2023‏ - angeo.copernicus.org
This article presents the results of automatic detection of dust impact signals observed by the
Solar Orbiter–Radio and Plasma Waves instrument. A sharp and characteristic electric field …

A machine learning–based approach to time-series wave identification in the solar wind

S Fordin, M Shay, LB Wilson III, B Maruca… - The Astrophysical …, 2023‏ - iopscience.iop.org
The Wind spacecraft has yielded several decades of high-resolution magnetic field data, a
large fraction of which displays small-scale structures. In particular, the solar wind is full of …

Generalized time‐series analysis for in situ spacecraft observations: Anomaly detection and data prioritization using principal components analysis and unsupervised …

MG Finley, M Martinez‐Ledesma… - Earth and Space …, 2024‏ - Wiley Online Library
In situ spacecraft observations are critical to our study and understanding of the various
phenomena that couple mass, momentum, and energy throughout near‐Earth space and …

Characterization of relativistic electron precipitation events observed by the CALET experiment using self‐organizing‐maps

SE Vidal‐Luengo, LW Blum, A Bruno… - Journal of …, 2024‏ - Wiley Online Library
Relativistic electron precipitation (REP) is a relatively high‐latitude phenomenon where high‐
energy electrons trapped in the outer radiation belt are lost into the Earth's atmosphere. REP …

Correlation between bandwidth and frequency of plasmaspheric hiss uncovered with unsupervised machine learning

D Vech, DM Malaspina, A Drozdov… - Journal of Geophysical …, 2022‏ - Wiley Online Library
Previous statistical studies of plasmaspheric hiss investigated the averaged shape of the
magnetic field power spectra at various points in the magnetosphere. However, this …

Prediction of plasmaspheric hiss spectral classes

D Kondrashov, AY Drozdov, D Vech… - Frontiers in Astronomy …, 2022‏ - frontiersin.org
We present a random forests machine learning model for prediction of plasmaspheric hiss
spectral classes from the Van Allen Probes dataset. The random forests model provides …

On the Ubiquity, Properties and Evolution of Small-Scale Magnetic Flux Ropes in the Heliosphere

H Farooki - 2024‏ - search.proquest.com
The solar wind is a plasma constantly blowing out from the Sun with a large-scale magnetic
field having significant local complexity at small scales. Small-scale magnetic flux ropes …