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429 documents correspondants.

Prépublication · 2026 arXiv EN

Size, Shape, and Geometric Albedo of Dwarf Planet Quaoar's Largest Satellite Weywot

The small satellites of dwarf-planet size worlds in trans-Neptunian space are thought to be produced through giant impacts, and are typically observed to have bright water-ice-dominated surfaces. Here we focus on Quaoar's small primary satellite, Weywot. We bu...

Cameron Collyer, Estela Fernandez-Valenzuela et al. #astro-ph.EP
Prépublication · 2026 arXiv EN

Metallicity does not reorder line-to-line sensitivity to granulation in solar-like stars

Stellar granulation imprints line-dependent wavelength shifts and profile variations that limit the precision of radial velocity (RV) measurements used for exoplanet detection and characterization. Understanding how the sensitivity of individual spectral lines...

Dušan Vukadinović, Sowmya Krishnamurthy et al. #astro-ph.SR
Prépublication · 2026 arXiv EN

Gravitational Microlensing

Gravitational microlensing is a unique planet-detection method that does not rely on detecting light from the host star or planet. Instead, planets are discovered when their gravitational field perturbs the light coming from a distant source. The mechanics of...

Aikaterini Vandorou, Stela Ishitani Silva #astro-ph.EP
Prépublication · 2026 arXiv EN

Holographic dark energy from generalized entropies and extended infrared cut-offs

We study holographic dark energy models constructed from generalized entropy functionals and local infrared cut-offs. Three entropies (Barrow and the three and five-parameter generalized entropies) are each combined with the Granda-Oliveros (GO) cut-off and tw...

Ke Chen, Simone D'Onofrio et al. #gr-qc
Prépublication · 2026 arXiv EN

Learning joint probabilistic weather forecasts from station observations alone

Assessing compound weather risks requires forecasts representing dependence between variables. CLARA (Calibrated Advection-Routing Attention) learns joint Gaussian predictive distributions of five surface variables from station observations alone, without nume...

Chaeyeon Yi, Yun Am Seo #stat.AP
Prépublication · 2026 arXiv EN

Artificial intelligence pathways from weather to climate

Deep learning has made rapid advances in weather forecasting: autoregressive models trained on atmospheric reanalyses now rival dynamical models across nowcasting, medium-range, and subseasonal-to-seasonal lead times, producing well-calibrated ensemble forecas...

Tom Beucler, J. David Neelin et al. #physics.ao-ph
Prépublication · 2026 arXiv EN

Statistical Oceanography of Profiling Floats and Surface Drifters

The Global Ocean Observing System is key to understanding oceanic variability and climate change. The ocean is vast and often sparsely and irregularly sampled in time and space by various instruments and systems. Statistical models, especially spatio-temporal...

Mikael Kuusela, Sofia C. Olhede et al. #stat.AP