General & Applied Physics · Physics & Astronomy
Space Physics
The newest papers in Space Physics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
11 papers, from 10 September 2026 to 1 November 2026: 11 arXiv preprints.
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Newest papers
Quantum Recovery from Black-Hole Radiation Beyond the Emission Yield
A proposed resolution of the black-hole information paradox must explain which information an outside observer can recover from escaping radiation\cite{Hawking,Page,Hayden,Almheiri}.Equipartition between Alfvénic turbulence and energetic ions as the origin of the -5 common spectrum in the heliosphere
Suprathermal ion tails throughout the heliosphere follow a ``common spectrum,'' $f(v)\propto v^{-5}$.Physics-Guided Flow Matching: A Generative AI Framework for Global Total Electron Content Forecasting
Accurate forecasting of global total electron content (TEC) is important for space weather monitoring and the reliable operation of satellite communication and navigation systems.Machine learning applications in the heliosphere
Space weather is the study of the near-Earth impact of the processes on the Sun.The Hosts and Mass Distribution Function of the Most Massive Black Holes: Implications for the nHz Gravitational Wave Background
We use the core-radius, $r_γ,$ of a galaxy's central core along with a volume-limited sample of brightest cluster galaxies (BCG) to determine the $z=0$ mass distribution function of the most massive…Horizon-Scale Corrections to Black Hole Geometry from a Conserved Quantum Atmosphere
Black holes are usually described either as classical geometries on which quantum fields propagate or as objects whose complete quantum description lies beyond semiclassical gravity.Self-Supervised Representation Learning: From Spectral Foundation Models to Auroral Emission Spectra
Auroral spectrographs such as the Auroral Spectrograph In Skibotn (ASIS) record hundreds of thousands of emission spectra, but only a few hundred can be labelled by an expert.Electric Potential Patterns Forecasting in the Southern Hemisphere with Deep Learning Techniques
Space weather disturbances driven by the solar wind can degrade satellite navigation, disrupt radio communications, and threaten power infrastructure, making accurate forecasting of the…PISCES: Physics-Informed Solar-wind Convolutional autoEncoder for Space-weather Anomaly Detection and Early Warning
Space weather early warning depends on detecting solar wind transients in in-situ measurements at the first Sun-Earth Lagrange point (L1), before they reach Earth.PROSWIN: Probabilistic Solar Wind Speed Forecasting Using Deep Distributional Regression From Solar Images
Accurately predicting fast solar wind conditions is challenging, as uncertainties are large and unquantified by traditional single-value prediction models.Continuous Learning of Gravity Field Irregularities Around Small Bodies via Neural Hamiltonian ODEs
We propose to learn the unknown dynamics in the proximity of a small body directly from tracking data, representing them as a feed-forward neural network embedded in the system Hamiltonian.
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