Molecular evolution of CO2-sensing ab1C neurons underlies divergent sensory responses in the Drosophila suzukii species group

Endothelial type I interferon signaling modulates the vascular response to ischemic brain injury Kavli Affiliate: Li Zhao | Authors: Alice Gadau, Sasha Mills, Xin Yu Zhu Jiang, Cong Li, Nicolas Svetec, Ziyu Xu, Wanhe Li, Katherine I Nagel and Li Zhao | Summary: Organisms evolve behavioral and morphological traits to adapt to their ecological niches, […]


Continue.. Molecular evolution of CO2-sensing ab1C neurons underlies divergent sensory responses in the Drosophila suzukii species group

Microseismic Noise Mitigation with Machine Learning for Advanced LIGO

Kavli Affiliate: Richard Mittleman | Summary:The unprecedented sensitivity of the Laser Interferometer Gravitational-Wave Observatory, which enables the detection of distant astrophysical sources, also renders the detectors highly susceptible to low-frequency ground motion. Persistent microseisms in the 0.1-0.3 Hz band couple into the instruments, degrade lock stability, and contribute substantially to detector downtime during observing runs. […]


Continue.. Microseismic Noise Mitigation with Machine Learning for Advanced LIGO

Detection of the Cosmological 21 cm Signal in Auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment

Kavli Affiliate: Kiyoshi Masui | Summary:We present the first detection of the cosmological 21 cm intensity mapping signal in auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment (CHIME). Using 94 nights of observation, we have measured the 21 cm auto-power spectrum over a frequency range from 608.2 MHz to 707.8 MHz […]


Continue.. Detection of the Cosmological 21 cm Signal in Auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment

Detection of the Cosmological 21 cm Signal in Auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment

Kavli Affiliate: Kiyoshi Masui | Summary:We present the first detection of the cosmological 21 cm intensity mapping signal in auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment (CHIME). Using 94 nights of observation, we have measured the 21 cm auto-power spectrum over a frequency range from 608.2 MHz to 707.8 MHz […]


Continue.. Detection of the Cosmological 21 cm Signal in Auto-correlation at z ~ 1 with the Canadian Hydrogen Intensity Mapping Experiment

Topological BF Theory construction of twisted dihedral quantum double phases from spontaneous symmetry breaking

Kavli Affiliate: Joel Moore | Summary:Nonabelian topological orders host exotic anyons central to quantum computing, yet established realizations rely on case-by-case constructions that are often conceptually involved. In this work, we present a systematic construction of nonabelian dihedral quantum double phases based on a continuous $O(2)$ gauge field. We first formulate a topological $S[O(2)times O(2)]$ […]


Continue.. Topological BF Theory construction of twisted dihedral quantum double phases from spontaneous symmetry breaking

Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Conditional diffusion models provide a natural framework for probabilistic prediction of dynamical systems and have been successfully applied to fluid dynamics and weather prediction. However, in many settings, the available information at a given time represents only a small fraction of what […]


Continue.. Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme

Neural surrogates for designing gravitational wave detectors

Kavli Affiliate: Rana Adhikari | Summary:Physics simulators are essential in science and engineering, enabling the analysis, control, and design of complex systems. In experimental sciences, they are increasingly used to automate experimental design, often via combinatorial search and optimization. However, as the setups grow more complex, the computational cost of traditional, CPU-based simulators becomes a […]


Continue.. Neural surrogates for designing gravitational wave detectors

Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Source-Free Domain Adaptation (SFDA) aims to adapt a pre-trained source model to an unlabeled target domain without access to source data. Recent advances in Foundation Models (FMs) have introduced new opportunities for leveraging external semantic knowledge to guide SFDA. However, relying on […]


Continue.. Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation