The Entangled Feedback Impacts of Supernovae in Coarse- versus High-Resolution Galaxy Simulations

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Eric Zhang, Eric Zhang, , , | Summary: It is often understood that supernova (SN) feedback in galaxies is responsible for regulating star formation and generating gaseous outflows. However, a detailed look at their effect on the local interstellar medium (ISM) on small mass scales in simulations […]


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No Observational Evidence for Dark Matter Nor a Large Metallicity Spread in the Extreme Milky Way Satellite Ursa Major III / UNIONS 1

Kavli Affiliate: Alexander P. Ji | First 5 Authors: William Cerny, William Cerny, , , | Summary: The extremely-low-luminosity, compact Milky Way satellite Ursa Major III / UNIONS 1 (UMaIII/U1; $L_V = 11 L_odot$; $a_1/2 = 3$ pc) was found to have a substantial velocity dispersion at the time of its discovery ($sigma_v = 3.7^+1.4_-1.0 […]


Continue.. No Observational Evidence for Dark Matter Nor a Large Metallicity Spread in the Extreme Milky Way Satellite Ursa Major III / UNIONS 1

Relativistic Jets and Winds in Radio-Identified Supermassive Black Hole Binary Candidates

Kavli Affiliate: Roger D. Blandford | First 5 Authors: Andrew G. Sullivan, Andrew G. Sullivan, , , | Summary: Supermassive black hole binary systems (SMBHBs) are thought to emit the recently discovered nHz gravitational wave background; however, not a single individual nHz source has been confirmed to date. Long-term radio-monitoring at the Owens Valley Radio […]


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Measurement of Dark Matter Substructure from the Kinematics of the GD-1 Stellar Stream

Kavli Affiliate: David N. Spergel | First 5 Authors: Jacob Nibauer, Jacob Nibauer, , , | Summary: Stellar streams are sensitive tracers of low-mass dark matter subhalos and provide a means to test the Cold Dark Matter (CDM) paradigm on small scales. In this work, we connect the intrinsic velocity dispersion of the GD-1 stream […]


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Resonant production of sterile neutrino dark matter with a refined numerical scheme

Kavli Affiliate: Masahiro Kawasaki | First 5 Authors: Kentaro Kasai, Kentaro Kasai, , , | Summary: The existence of a large primordial neutrino asymmetry is an intriguing possibility, both observationally and theoretically. Such an asymmetry can lead to the resonant production of $mathrmkeV$-scale sterile neutrinos, which are a fascinating candidate for dark matter. In this […]


Continue.. Resonant production of sterile neutrino dark matter with a refined numerical scheme

Resonant production of sterile neutrino dark matter with a refined numerical scheme

Kavli Affiliate: Masahiro Kawasaki | First 5 Authors: Kentaro Kasai, Kentaro Kasai, , , | Summary: The existence of a large primordial neutrino asymmetry is an intriguing possibility, both observationally and theoretically. Such an asymmetry can lead to the resonant production of $mathrmkeV$-scale sterile neutrinos, which are a fascinating candidate for dark matter. In this […]


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Local linearization for estimating the diffusion parameter of nonlinear stochastic wave equations with spatially correlated noise

Kavli Affiliate: Ran Wang | First 5 Authors: Guoping Liu, Guoping Liu, , , | Summary: We study the bi-parameter local linearization of the one-dimensional nonlinear stochastic wave equation driven by a Gaussian noise, which is white in time and has a spatially homogeneous covariance structure of Riesz-kernel type. We establish that the second-order increments […]


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VLA-R1: Enhancing Reasoning in Vision-Language-Action Models

Kavli Affiliate: Zheng Zhu | First 5 Authors: Angen Ye, Angen Ye, , , | Summary: Vision-Language-Action (VLA) models aim to unify perception, language understanding, and action generation, offering strong cross-task and cross-scene generalization with broad impact on embodied AI. However, current VLA models often lack explicit step-by-step reasoning, instead emitting final actions without considering […]


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TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis

Kavli Affiliate: Xiang Zhang | First 5 Authors: Haokun Zhao, Haokun Zhao, , , | Summary: Time series forecasting is central to decision-making in domains as diverse as energy, finance, climate, and public health. In practice, forecasters face thousands of short, noisy series that vary in frequency, quality, and horizon, where the dominant cost lies […]


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Using Aberrations to Improve Dose-Efficient Tilt-corrected 4D-STEM Imaging

Kavli Affiliate: David A. Muller | First 5 Authors: Desheng Ma, Desheng Ma, , , | Summary: Tilt-corrected imaging methods in four-dimensional scanning transmission electron microscopy (4D-STEM) have recently emerged as a new class of direct ptychography methods that are especially useful at low dose. The operation of tilt correction unfolds the contrast transfer functions […]


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