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Related papers: Generate Radioheliograph Image from SDO/AIA Data w…

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The Solar and Heliospheric Observatory (SOHO) Extreme-ultraviolet Imaging Telescope (EIT) has been taking images of the Solar disk and corona in four narrow EUV bandpasses (171\AA, 195\AA, 284\AA, and 304\AA) at a minimum cadence of once…

Solar and Stellar Astrophysics · Physics 2025-07-23 Emily Sandford , Frédéric Auchère , Annelies Mortier , Laura A. Hayes , Daniel Müller

Most solar applications and systems can be reliably used to generate electricity and power in many homes and offices. Recently, there is an increase in many solar required systems that can be found not only in electricity generation but…

Machine Learning · Computer Science 2021-04-07 Shahriar Rahman , Shazzadur Rahman , A K M Bahalul Haque

Imaging the low-frequency radio Sun is an intrinsically challenging problem. Meter-wavelength solar emission spans angular scales from a few arcminutes to a few degrees. These emissions show temporal and spectral variability on a sub-second…

Solar and Stellar Astrophysics · Physics 2022-09-22 Devojyoti Kansabanik

We present several methods towards construction of precursors, which show great promise towards early predictions, of solar flare events in this paper. A data pre-processing pipeline is built to extract useful data from multiple sources,…

Solar and Stellar Astrophysics · Physics 2020-01-08 Yang Chen , Ward B. Manchester , Alfred O. Hero , Gabor Toth , Benoit DuFumier , Tian Zhou , Xiantong Wang , Haonan Zhu , Zeyu Sun , Tamas I. Gombosi

Initial access (IA) is a fundamental physical layer procedure in cellular systems where user equipment (UE) detects nearby base station (BS) as well as acquire synchronization. Due to the necessity of using antenna array in millimeter-wave…

Signal Processing · Electrical Eng. & Systems 2019-07-30 Han Yan , Danijela Cabric

Machine Learning on graph-structured data is an important and omnipresent task for a vast variety of applications including anomaly detection and dynamic network analysis. In this paper, a deep generative model is introduced to capture…

Machine Learning · Computer Science 2018-09-12 Mahdi Khodayar , Saeed Mohammadi , Mohammad Khodayar , Jianhui Wang , Guangyi Liu

With the introduction of shared spectrum sensing and beam-forming based multi-antenna transceivers, 5G networks demand spectrum sensing to identify opportunities in time, frequency, and spatial domains. Narrow beam-forming makes it…

Signal Processing · Electrical Eng. & Systems 2021-07-26 Piyush Sahoo , Romesh Rajoria , Shivam Chandhok , S. J. Darak , Danilo Pau , Hem-Dutt Dabral

We investigate the effects of solar activity on the Auger Engineering Radio Array (AERA) data collected over 10 years. We report the observation of Solar Radio Burst signals in AERA data associated with intense solar flares accompanied by…

Solar and Stellar Astrophysics · Physics 2024-10-28 D. C dos Santos

We present an automated system for detecting, tracking, and cataloging emerging active regions throughout their evolution and decay using SOHO Michelson Doppler Interferometer (MDI) magnetograms. The SolarMonitor Active Region Tracking…

Solar and Stellar Astrophysics · Physics 2010-07-01 Paul A. Higgins , Peter T. Gallagher , R. T. James McAteer , D. Shaun Bloomfield

Solar energy is now the cheapest form of electricity in history. Unfortunately, significantly increasing the grid's fraction of solar energy remains challenging due to its variability, which makes balancing electricity's supply and demand…

Machine Learning · Computer Science 2021-12-30 Akansha Singh Bansal , Trapit Bansal , David Irwin

The 3D fine structure of the solar atmosphere is still not fully understood as most of the available observations are taken from a single vantage point. The goal of the paper is to study the 3D distribution of small-scale brightening events…

In order to address the growing need for more accurate space weather predictions, a new model named EUHFORIA (EUropean Heliospheric FORecasting Information Asset) was recently developed (Pomoell and Poedts, 2018). We present first results…

In the present work, we collect solar irradiance and atmospheric condition data from several products, obtained from both numerical models (ERA5 and NORA3) and satellite observations (CMSAF-SARAH3). We then train simple supervised Machine…

Atmospheric and Oceanic Physics · Physics 2025-01-23 J Rabault , ML Sætra , A Dobler , S Eastwood , E Berge

The uncertainty of the energy generated by photovoltaic systems incurs an additional cost for a guaranteed, reliable supply of energy (i.e., energy storage). This investigation aims to decrease the additional cost by introducing…

Machine Learning · Computer Science 2023-01-19 Guillermo Terrén-Serrano , Manel Martínez-Ramón

Future missions such as Solar Orbiter (SO), InterHelioprobe, or Solar Probe aim at approaching the Sun closer than ever before, with on board some high resolution imagers (HRI) having a subsecond cadence and a pixel area of about $(80km)^2$…

Astrophysics · Physics 2015-05-13 Véronique Delouille , Pierre Chainais , Jean-François Hochedez

Machine learning techniques have been increasingly useful in astronomical applications over the last few years, for example in the morphological classification of galaxies. Convolutional neural networks have proven to be highly effective in…

Instrumentation and Methods for Astrophysics · Physics 2018-02-07 V. Lukic , M. Brüggen , J. K. Banfield , O. I. Wong , L. Rudnick , R. P. Norris , B. Simmons

Stereoscopic spectral imaging is an observing technique that affords rapid acquisition of limited spectral information over an entire image plane simultaneously. Light from a telescope is dispersed into multiple spectral orders, which are…

Astrophysics · Physics 2007-05-23 Craig E. DeForest , Charles C. Kankelborg

Seismic maps of the Sun's far hemisphere, computed from Doppler data from the Helioseismic and Magnetic Imager (HMI) on board the Solar Dynamics Observatory (SDO) are now being used routinely to detect strong magnetic regions on the far…

Solar and Stellar Astrophysics · Physics 2017-10-11 P. C. Liewer , J. Qiu , C. Lindsey

In November 2021, Solar Orbiter started its nominal mission phase. The remote-sensing instruments on board the spacecraft acquired scientific data during three observing windows surrounding the perihelion of the first orbit of this phase.…

Solar flare forecasting can be realized by means of the analysis of magnetic data through artificial intelligence techniques. The aim is to predict whether a magnetic active region (AR) will originate solar flares above a certain class…

Solar and Stellar Astrophysics · Physics 2022-06-29 Sabrina Guastavino , Francesco Marchetti , Federico Benvenuto , Cristina Campi , Michele Piana