Results 71 to 80 of about 12,770 (238)

Deep-learning-based Identification of Solar Magnetic Tornadoes and Their Spatial Properties during Solar Minimum and Maximum

The Astrophysical Journal
Solar magnetic tornadoes are dynamic, spiral-shaped plasma structures characterized by helical magnetic fields and rotating plasma flows in the solar atmosphere.
Mark I. Blumenau, Olga Khabarova, Ilia S. Nikitin, Dmitrii L. Vorobev   +3 more
doaj   +1 more source

Astronomy Data And Computing Services - Upskilling the Australian astronomy community

, 2020
The Astronomy Data And Computing Services (ADACS) initiative has been working with the Australian astronomy community for just over 3 years now. Our vision is to deliver astronomy-focused training, support and expertise to maximise the scientific return on investments in astronomical data & computing infrastructure.
openaire   +1 more source

A Power‐Efficient Monte Carlo Framework for Nonlinear Light–Matter Interactions: In Silico Modeling of Spontaneous and Stimulated Raman Scattering in Turbid Media

Journal of Raman Spectroscopy, EarlyView.
Power‐efficient Monte Carlo modeling of nonlinear light–matter interactions in turbid media is demonstrated using Apple Silicon–accelerated photon transport. The Metal‐base framework enables accurate simulation of spontaneous and stimulated Raman scattering, revealing detection‐dependent SRS efficiency while providing a scalable, energy‐efficient ...
Ilya Vladyko, Vladislav Yakovlev, Alexander Doronin   +2 more
wiley   +1 more source

Optical Skyrmions with Tunable or Reconfigurable Topology Using Spin‐Decoupled Metaoptics

Laser &Photonics Reviews, EarlyView.
The work introduces advanced optical elements capable of generating and dynamically reconfiguring complex light patterns known as optical skyrmions. By precisely shaping light polarization at the nanoscale, a single engineered metasurface can generate and manipulate robust and tunable polarization textures in an efficient and scalable way.
Andrea Vogliardi, Daniele Bonaldo, Simone Dal Zilio, Vittorio Apolloni, Filippo Romanato, Gianluca Ruffato   +5 more
wiley   +1 more source

MLody—Deep Learning–generated Polarized Synchrotron Coefficients

The Astrophysical Journal Letters
Polarized synchrotron emission is a fundamental process in high-energy astrophysics, particularly in the environments around black holes and pulsars. Accurate modeling of this emission requires precise computation of the emission, absorption, rotation ...
J. Davelaar
doaj   +1 more source

Synthesis of Core–Shell Te@Se Quantum Dots and Their Broadband Photodetector Performance in Low Concentration Electrolytes

Laser &Photonics Reviews, EarlyView.
Te@Se core–shell heterojunction quantum dots (QDs) are synthesized by a two‐step strategy via combining liquid‐phase exfoliation and epitaxial growth. As active materials in photoelectrochemical photodetectors, Te@Se QDs exhibit excellent photo‐response performance in low‐concentration electrolytes and deionized water.
Yiming Zhao, Artem V. Kuklin, Jiahui Hou, Mingqi He, Lyudmila V. Begunovich, Han Zhang, Ying Li, Hans Ågren, Lingfeng Gao   +8 more
wiley   +1 more source

Enhanced Quantitative Phosphocreatine MR Imaging of Skeletal Muscle Using a Global–Local Two‐Branch Deep Learning Model

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Phosphocreatine (PCr) is an essential marker of muscle metabolism, and accurate quantification of its (fs) and its exchange rate (ksw) is essential for diagnosing various muscular and neuromuscular diseases. Although chemical exchange saturation transfer (CEST) MRI can detect the saturation transfer effect from PCr, quantification of ...
Malvika Viswanathan, Leqi Yin, Yashwant Kurmi, Shuyang Chai, Xiaoyu Jiang, Yuankai Huo, Junzhong Xu, Limin Chen, John C. Gore, Zhongliang Zu   +9 more
wiley   +1 more source

Probing the star formation main sequence down to 107 M⊙ at 1  <  z  <  9

Astronomy & Astrophysics
The main sequence of star-forming galaxies (SFGMS or MS) is a fundamental scaling relation that provides a global framework for studying galaxy formation and evolution, as well as an insight into the complex star formation histories (SFHs) of individual ...
Mérida Rosa M., Sawicki Marcin, Iyer Kartheik G., Noirot Gaël, Willott Chris J., Bradač Maruša, Desprez Guillaume, Martis Nicholas S., Muzzin Adam, Rihtaršič Gregor, Sarrouh Ghassan T. E., Favaro Jeremy, Gaspar Gaia, Harshan Anishya, Judež Jon   +14 more
doaj   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

Electronic and Computer-Aided Astronomy [PDF]

Computers in Physics, 1990
Ian S. McLean, Michal Simon
openaire   +2 more sources