Results 51 to 60 of about 23,286,764 (294)
ImageMM: Joint Multi-frame Image Restoration and Super-resolution
The Astronomical JournalA key processing step in ground-based astronomy involves combining multiple noisy and blurry exposures to produce an image of the night sky with an improved signal-to-noise ratio.
Yashil Sukurdeep +3 more
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Big data and paradigm shift for astronomy in the 21stcentury
大数据, 2016 With the development of large space-based and ground-based observational technologies,the volume,output rate and complexity of astronomical data rapidly increase.The astronomy steps into a new data-intensive era.The characteristics of astronomical data ...
Yanxia ZHANG +2 more
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Identification of Megaconstellations in Wide-field Astronomical Images with Machine Learning
The Astronomical JournalAlong with the development of megaconstellation, tens of thousands of artificial satellites are going to be launched and deployed, it poses a serious space sustainability risk and has a serious impact on astronomical observations.
Liu Liu, Rongyu Sun, He Zhao
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Fast Infrared Detector for Time-Domain Astronomy
InstrumentsMulti-messenger astronomy and time-domain astronomy are strongly linked even if they do not have the same objectives. Multi-messenger astronomy is an astrophysical observation approach born by the simultaneous, even if casual, detection of a few events ...
Alessandro Drago
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The Planetary Science Journal, 2023 Within the next decade, atmospheric O _2 on Earth-like M-dwarf planets may be accessible with visible–near-infrared (NIR), high-spectral-resolution, ground-based extremely large telescope (ELT) instruments. However, the prospects for using ELTs to detect
Miles H. Currie +2 more
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Measuring the Hall Effect in Hysteretic Materials
Advanced Materials, EarlyView.The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya +6 more
wiley +1 more source
Hydration Features on Near-Earth Objects: Integrating New Data with Prior Results
The Planetary Science JournalNear-Earth objects (NEOs) are excellent laboratories for testing processes that affect airless bodies, as well as informing us about solar system history. Though most NEOs are nominally anhydrous because they formed inside the solar system frost line and
L. E. McGraw +3 more
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Review: the landscape of gravitational wave astronomy
Acta PolytechnicaThe direct detection of gravitational waves from a binary black hole merger has opened a new window in observational astronomy. The first three observing runs of the LIGO/Virgo groundbased interferometers have produced a broad range of scientific ...
Rosa Poggiani
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GammaLearn - first steps to apply Deep Learning to the Cherenkov Telescope Array data [PDF]
EPJ Web of Conferences, 2019 The Cherenkov Telescope Array (CTA) is the next generation of ground-based gamma-ray telescopes for gamma-ray astronomy. Two arrays will be deployed composed of 19 telescopes in the Northern hemisphere and 99 telescopes in the Southern hemisphere. Due to
Vuillaume Thomas +6 more
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