A novel method to trace the dark matter density profile around supermassive black holes with AGN reverberation mapping

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Mayank Sharma, Gonzalo Herrera, Nahum Arav, Shunsaku Horiuchi, | Summary: We propose a new method to determine the dark matter density profile in the vicinity of distant supermassive black holes (SMBH) using reverberation mapping measurements of active galactic nuclei (AGN). For some AGN, the mapping of multiple […]


Continue.. A novel method to trace the dark matter density profile around supermassive black holes with AGN reverberation mapping

Electron-magnon coupling at the interface of a “twin-twisted” antiferromagnet

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Yue Sun, Fanhao Meng, Sijia Ke, Kun Xu, Hongrui Zhang | Summary: We identify a "twin-twist" angle in orthorhombic two-dimensional magnets that maximizes interlayer orbital overlap and enables strong interfacial coupling. Focusing on the van der Waals antiferromagnet CrSBr, we show that this twist angle, near […]


Continue.. Electron-magnon coupling at the interface of a “twin-twisted” antiferromagnet

S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamlessly Speech-Text Alignment and Streaming Speech Decoder

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yu Pan, Yuguang Yang, Yanni Hu, Jianhao Ye, Xiang Zhang | Summary: Multilingual speech-to-speech translation (S2ST) aims to directly convert spoken utterances from multiple source languages into fluent and intelligible speech in a target language. Despite recent progress, several critical challenges persist: 1) achieving high-quality and low-latency […]


Continue.. S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamlessly Speech-Text Alignment and Streaming Speech Decoder

S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamless Speech-Text Alignment and Streaming Speech Generation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yu Pan, Yuguang Yang, Yanni Hu, Jianhao Ye, Xiang Zhang | Summary: Multilingual speech-to-speech translation (S2ST) aims to directly convert spoken utterances from multiple source languages into fluent and intelligible speech in a target language. Despite recent progress, several critical challenges persist: 1) achieving high-quality S2ST remains […]


Continue.. S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamless Speech-Text Alignment and Streaming Speech Generation

Optical spin pumping in silicon

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Stefano Achilli, Damiano Marian, Mario Lodari, Emiliano Bonera, Giordano Scappucci | Summary: The generation of an out-of-equilibrium population of spin-polarized carriers is a keystone process for quantum technologies and spintronics alike. It can be achieved through the so-called optical spin orientation by exciting the material with circularly […]


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High-Sensitivity Fiber Interferometer for Gravitational Phase Shift Measurement on Entangled States

Kavli Affiliate: Nergis Mavalvala | First 5 Authors: Eleonora Polini, Piotr Chruściel, Georgi Dvali, Christopher Hilweg, Begüm Kabagöz | Summary: In this contribution, we describe the status of our experiment aimed at measuring the gravitationally induced phase shift on path-entangled photons. We use a kilometer-scale fiber interferometer whose arms are vertically displaced in the Earth […]


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A Metallicity Catalog of Very Metal-poor Main-sequence Turn-off and Red Giant Stars from LAMOST DR10

Kavli Affiliate: Huawei Zhang | First 5 Authors: Xiangyu Li, Huiling Chen, Yang Huang, Huawei Zhang, Timothy C. Beers | Summary: We present a catalog of 8,440 candidate very metal-poor (VMP; [Fe/H] < -2.0) main-sequence turn-off (MSTO) and red giant stars in the Milky Way, identified from low-resolution spectra in LAMOST DR10. More than 7,000 […]


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Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals

Kavli Affiliate: Wei Gao | First 5 Authors: Changhao Peng, Yuqi Ye, Wei Gao, , | Summary: Gaussian and Laplacian entropy models are proved effective in learned point cloud attribute compression, as they assist in arithmetic coding of latents. However, we demonstrate through experiments that there is still unutilized information in entropy parameters estimated by […]


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The Fast and the Frame-Dragging: Efficient waveforms for asymmetric-mass eccentric equatorial inspirals into rapidly-spinning black holes

Kavli Affiliate: Scott A. Hughes | First 5 Authors: Christian E. A. Chapman-Bird, Lorenzo Speri, Zachary Nasipak, Ollie Burke, Michael L. Katz | Summary: Observations of gravitational-wave signals emitted by compact binary inspirals provide unique insights into their properties, but their analysis requires accurate and efficient waveform models. Intermediate- and extreme-mass-ratio inspirals (I/EMRIs), with mass […]


Continue.. The Fast and the Frame-Dragging: Efficient waveforms for asymmetric-mass eccentric equatorial inspirals into rapidly-spinning black holes

Ferroelectric control of bipolar magnetic semiconductor with room Curie temperature

Kavli Affiliate: Gang Su | First 5 Authors: Jia-Wen Li, Gang Su, Bo Gu, , | Summary: The development of room-temperature tunable magnetic semiconductors is crucial for the advancement of low-power, high-performance information technologies. Using density functional theory calculations, we propose a series of two-dimensional magnetic semiconductors with critical temperature above room temperature, including three […]


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