Prépublication
· 2026 arXiv
EN
Computational Fluid Dynamics (CFD) is increasingly used to resolve wind, heat, and pollution patterns in cities with high fidelity but high computational cost. Thermal effects and vegetation are often neglected despite being important drivers, yet their influe...
Albert Moreno Català, Joan Calafell Sandiumenge et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Long-term environmental IoT/LPWAN deployments often aggregate heterogeneous data streams from diverse devices without systematic auditing of each variable's actual coverage prior to analysis-an increased risk when multiple sensor types coexist within the same...
Mamadou Sow
#cs.LG
Prépublication
· 2026 arXiv
EN
Background-error covariance models are central to atmospheric data assimilation because they spread partial observational information across space, variables, and dynamically coupled scales. Ensemble and variational methods exploit this covariance geometry eff...
Siming Liang, Peter Jan van Leeuwen et al.
#math.NA
Prépublication
· 2026 arXiv
EN
Cross-correlations of galaxies and gravitational waves (GW) can be used to extract cosmological parameters and the gravitational wave bias. In this work, we study how to include galaxy luminosities in these spatial cross-correlations, inspired by the standard...
Charles Dalang, Isabela Santiago de Matos et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
A major question about JWST's little red dots (LRDs) at $z\sim4-8$ is the origin of their apparent X-ray weakness. Even deep Chandra stacks yield only tentative detections or broad-band limits and cannot distinguish among super-Eddington accretion, intrinsic X...
Shi-Jiang Chen, Jun-Xian Wang et al.
#astro-ph.GA
Prépublication
· 2026 arXiv
EN
We present the GION (Ginkaku Lightcone Multi-wavelength Simulation Project) simulation suite: 10 full-sky high-resolution cosmological lightcone simulations and their associated products for multi-wavelength large-scale structure cosmology. We use the TreePM $...
Ken Osato, Satoshi Tanaka et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
We present an analysis of the high-magnification microlensing event OGLE-2015-BLG-1395 and report the discovery of a sub-Saturn mass companion to the lens. Photometric coverage of the planetary anomaly in the light curve was obtained from the University of Tas...
Andrew A. Cole, Joshua W. Blackman et al.
#astro-ph.EP
Prépublication
· 2026 arXiv
EN
Future generations of gravitational-wave observatories are projected to detect up to thousands bright siren events within a decade of operation. However, the precision of these cosmological forecasts depends heavily on the astrophysical assumptions embedded wi...
Gustavo B. F. Lima, Rafael F. Aranha et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
This article argues that instruction-fine-tuned language models should be understood as implementing a genre, what is proposed as the instructional-conversational genre. This genre is an amalgamation of discursive language from prior conversations between gene...
James E. Dobson
#cs.CL
Prépublication
· 2026 arXiv
EN
Training generalizable embodied agents requires realistic, varied, and simulation-ready indoor environments. Language-guided methods support semantic planning and object-level reasoning, but precise spatial grounding remains difficult. Visual generative models...
Yuhan Liu, Lianhui Qin et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Robust reinforcement learning (RL) is critical for reliable real-world deployment, where policies may fail under diverse shifts and disruptions. Existing robust RL algorithms offer a rich set of mechanisms and principles, yet two major barriers limit their bro...
Xi Chen, Fengqi Hu et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
Collecting high-quality demonstrations remains a central bottleneck for learning dexterous manipulation. Teleoperation records executable robot actions, but it requires a complete robot setup and places the burden of coordinating many finger joints on the oper...
Amber Xie, Jiawei Fu et al.
#cs.RO