Prépublication
· 2026 arXiv
EN
Automated research with LLM agents has shown promising results in various domains. Through iterative refinement and scored verifiers, LLM agents are capable of discovering new ideas. There are different ways to scale automated research: let one agent iterate f...
Shangyin Tan, Ben Zhou et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Understanding the social intelligence of large language models (LLMs) is increasingly important for applications involving human-AI interaction and multi-agent environments. Social intelligence comprises two aspects: cognitive intelligence, the ability to infe...
Ali Zamani, Soroush Esfahanian et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Measurements of optical turbulence are essential in both ground-based astronomy and free-space optical communication systems contexts for multiple reasons including supporting and optimizing Adaptive Optics. Similarly, forecasting these parameters is highly va...
Camilo Weinberger, Elena Masciadri et al.
#astro-ph.IM
Prépublication
· 2026 arXiv
EN
High-resolution precipitation datasets are essential for weather forecasting, hydrological modeling, and climate risk assessment, yet observation-based gridded products often lack the spatial detail required for regional applications. Here we present PrecipCor...
Bipin Kumar, Rajib Chattopadhyay et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
This work introduces a Process Additive Neural Network (PANN) framework to disentangle compensating biases in atmospheric models, where errors in different physical processes can offset each other and obscure their origins. Using a single-column model, each PA...
Yuiko Ichikawa, Edward Groot et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Accurate forecasting of optical turbulence (OT) is useful to optimise telescope scheduling and maximising observing efficiency, as the performance of adaptive optics systems strongly depends on turbulence conditions. While various numerical weather prediction...
M. De Sepibus, E. Masciadri et al.
#astro-ph.IM
Prépublication
· 2026 arXiv
EN
A possible mechanism of tornado generation is associated with the Schwarzschild criterion for convective instability. The supercooled cloud-air mixture near the axis starts to descend and, due to the super adiabatic temperature gradient, the overheated near-su...
S. N. Artekha
#physics.flu-dyn
Prépublication
· 2026 arXiv
EN
Jupiter's faint ring system contains micron- and submicron-sized dust whose dynamics are influenced by the planet's rapidly rotating magnetic field. Optical observations have established the morphology of the main ring and halo, but tenuous dust close to Jupit...
Wenyu Zhang, Hao Cao et al.
#astro-ph.EP
Prépublication
· 2026 arXiv
EN
No: neither through the bosenovae of gravitational atoms formed around stars and compact objects, nor through those of boson stars formed in the galactic dark-matter halo. We assume that all the dark matter consists of ultralight bosons with attractive self-in...
Samuel Gómez Gómez, Joshua Eby
#astro-ph.HE
Prépublication
· 2026 arXiv
EN
How galaxies stop forming stars is a complex and central problem in astrophysics. Numerous physical mechanisms have been proposed, yet a simple, unified framework connecting these mechanisms remains lacking. Here, we derive a step-function quenching response f...
Zhicheng He, Enci Wang et al.
#astro-ph.GA
Prépublication
· 2026 arXiv
EN
The probability of interstellar contact depends not only on the abundance of technological civilizations but also on their spatial connectivity. Treating civilizations as nodes linked whenever their separation is smaller than the distance a signal travels with...
Kohji Tsumura
#astro-ph.GA
Prépublication
· 2026 arXiv
EN
Line intensity mapping (LIM) provides a unique window into the high-redshift universe, but the separation of signals from overlapping emission lines and bright continuum foregrounds remains a central analysis challenge. At millimeter wavelengths in particular,...
Carlos E. Sierra, Kirit S. Karkare
#astro-ph.CO