Results 1 to 10 of about 6,765,814 (297)

Plasma acceleration and boundary compression in the magnetosheath of Mars under low-Alfvén-Mach-number solar wind [PDF]

open access: yesNature Communications
When the upstream Alfvén Mach number is low, the magnetic field may play a dominant role in the solar-wind interaction with Mars, yet the resulting magnetospheric dynamics and associated energy conversion remain poorly constrained.
Fuhao Qiao   +20 more
doaj   +2 more sources

Longitudinal structures of zonal wind in the thermosphere by the ICON/MIGHTI and the main wave sources

open access: yesEarth, Planets and Space, 2023
In this study, the neutral wind observations from the Michelson Interferometer for Global High-resolution Thermospheric Imaging (MIGHTI) instrument onboard Ionospheric CONnections (ICON) are used to investigate the longitudinal structure of zonal wind ...
Dan Li   +6 more
doaj   +1 more source

Mingantu Spectral Radioheliograph for Solar and Space Weather Studies

open access: yesFrontiers in Astronomy and Space Sciences, 2021
The Chinese Spectral Radioheliograph (CSRH) covering 400 MHz-15 GHz frequency range was constructed during 2009–2016 in Mingantu Observing Station, National Astronomical Observatories, Chinese Academy of Sciences at Zhengxiangbaiqi, Inner Mongolia of ...
Yihua Yan   +12 more
doaj   +1 more source

Multi-Wavelength Observations of a Failed Filament Eruption and Associated Hovered Coronal Mass Ejection

open access: yesUniverse, 2021
Failed filament eruption remains mysterious on its initiation, magnetic environment, and erupting and failing mechanisms. We present multi-wavelength observations of a failed filament eruption and its associated hovered coronal mass ejection (hovered-CME)
Yin Zhang   +4 more
doaj   +1 more source

Guided filtering for solar image/video processing

open access: yesSolar-Terrestrial Physics, 2017
A new image enhancement algorithm employing guided filtering is proposed in this work for enhancement of solar images and videos, so that users can easily figure out important fine structures imbedded in the recorded images/movies for solar observation ...
Long Xu, Yihua Yan, Jun Cheng
doaj   +1 more source

The passband integration properties of Birefringent filter

open access: yesScientific Reports, 2021
In this article, we discuss an observation phenomenon where the total amount of photons in the full passband of the Birefringent filter is a constant number that is considered by removing the spectrum of the light source irrespective of the instrument ...
Xiaofan Wang   +3 more
doaj   +1 more source

Linking long-term switchback variability at 1 au to solar-surface mechanisms: A 27-year statistical study

open access: yesAstronomy & Astrophysics
Context. Switchbacks–transient, large-angle deflections of the interplanetary magnetic field–pervade the solar wind, yet their origin remains disputed. Current ex situ theories, notably coronal jets and interchange reconnection, are typically tested on ...
Dai Fanzhuo   +5 more
doaj   +1 more source

A nominally confined X6.4 flare associated with an extremely faint coronal mass ejection

open access: yesAstronomy & Astrophysics
Context. The observational distinction between eruptive and confined solar flares is often based on whether a coronal mass ejection (CME) can be identified in coronagraph data.
Lin Wei   +5 more
doaj   +1 more source

Scale sequentially CLEAN for Mingantu Spectral Radioheliograph

open access: yesSolar-Terrestrial Physics, 2019
MingantU SpEctral Radioheliograph (MUSER) is a solar-dedicated radio heliograph, adopting aperture synthesis technique to image the Sun in the frequency range of 0.4 GHz to 15 GHz.
Jun Cheng, Yihua Yan, Dong Zhao, Long Xu
doaj   +1 more source

Forecasting of the Geomagnetic Activity for the Next 3 Days Utilizing Neural Networks Based on Parameters Related to Large‐Scale Structures of the Solar Corona

open access: yesSpace Weather
With the increasing number of large constellations, it is crucial to accurately predict satellite positions and movements using upper atmosphere models driven by geomagnetic indices. Machine learning (ML) can quickly provide geomagnetic index predictions.
Tingyu Wang   +6 more
doaj   +1 more source

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