Operational solar flare prediction model using Deep Flare Net [PDF]
We developed an operational solar flare prediction model using deep neural networks, named Deep Flare Net (DeFN). DeFN can issue probabilistic forecasts of solar flares in two categories, such as ≥ M-class and
N. Nishizuka+4 more
semanticscholar +1 more source
Fine-grained Solar Flare Forecasting Based on the Hybrid Convolutional Neural Networks [PDF]
Improving the performance of solar flare forecasting is a hot topic in the solar physics research field. Deep learning has been considered a promising approach to perform solar flare forecasting in recent years.
Z. Deng+5 more
semanticscholar +1 more source
First Fermi-LAT Solar Flare Catalog [PDF]
We present the first Fermi-Large Area Telescope (LAT) solar flare catalog covering the 24th solar cycle. This catalog contains 45 Fermi-LAT solar flares (FLSFs) with emission in the γ-ray energy band (30 MeV–10 GeV) detected with a significance of ≥5σ ...
M. Ajello+84 more
semanticscholar +1 more source
Measurement of magnetic field and relativistic electrons along a solar flare current sheet [PDF]
In the standard model of solar flares, a large-scale reconnection current sheet is postulated to be the central engine for powering the flare energy release1–3 and accelerating particles4–6.
Bin Chen+10 more
semanticscholar +1 more source
Omori’s Law in the Occurrence of Solar Flare : Approach of Hybrid Model [PDF]
Solar flares are large-scale phenomena that have a significant effect on theEarth’s climate. Using the solar flare time series from January 1, 2006 to July 21, 2016,we develop a complex network for predicting solar flares.
Amin Najafi
doaj +1 more source
Spectral Signatures of Chromospheric Condensation in a Major Solar Flare [PDF]
We study the evolution of chromospheric line and continuum emission during the impulsive phase of the X-class SOL2014-09-10T17:45 solar flare. We extend previous analyses of this flare to multiple chromospheric lines of Fe i, Fe ii, Mg ii, C i, and Si ii
D. Graham+5 more
semanticscholar +1 more source
Probability Distribution Functions of Solar and Stellar Flares
The paper studies the soft X-ray data of solar flares and found that the distribution functions of flare fluence are successfully modeled by tapered power law or gamma function distributions whose power exponent is slightly smaller than 2, indicating ...
Takashi Sakurai
doaj +1 more source
DeepSun: machine-learning-as-a-service for solar flare prediction [PDF]
Solar flare prediction plays an important role in understanding and forecasting space weather. The main goal of the Helioseismic and Magnetic Imager (HMI), one of the instruments on NASA’s Solar Dynamics Observatory, is to study the origin of solar ...
Yasser Abduallah+4 more
semanticscholar +1 more source
Statistical analysis for EUV dynamic spectra and their impact on the ionosphere during solar flares
The X-rays and extreme ultraviolet (EUV) emitted during solar flares can rapidly change the physical composition of Earth’s ionosphere, causing space weather phenomena.
Shohei Nishimoto+9 more
doaj +1 more source
Comparison of VLF Signal Responses to Solar Flares along Daytime and Nighttime Propagation Paths
Solar flares have a severe impact on the near-earth space environment, during which the VLF signals observed by the ground-based instrument exhibit abnormal changes.
Xudong Gu+9 more
doaj +1 more source