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

Posted by klaurent Tokyo

Kavli Affiliate: 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 (RM) measurements of active galactic nuclei (AGN). The mapping of multiple emission lines allows the measurement of the enclosed mass within different radii from the central […]


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

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

Posted by klaurent Tokyo

Kavli Affiliate: 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 emission lines allows us to measure the enclosed mass within different radii from […]


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

Posted by dbos Berkeley

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 Multilingual Speech-to-Speech Translation Framework via Seamless Speech-Text Alignment and Progressive Fine-tuning

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yu Pan, Yu Pan, , , | Summary: Despite recent advances in multilingual speech-to-speech translation (S2ST), several critical challenges persist: 1) achieving high-quality translation remains a major hurdle, and 2) most existing methods heavily rely on large-scale parallel speech corpora, which are costly and difficult to obtain. […]


Continue.. S2ST-Omni: An Efficient Multilingual Speech-to-Speech Translation Framework via Seamless Speech-Text Alignment and Progressive Fine-tuning

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

Posted by dbos Berkeley

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

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

Posted by dbos Berkeley

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

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

Posted by klaurent MIT

Kavli Affiliate: Nergis Mavalvala | 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 gravitational potential, allowing photons propagating at different heights to accumulate different phases. To date, this […]


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

Posted by klaurent Peking

Kavli Affiliate: Huawei Zhang | 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 of these candidates are brighter than G ~ 16, making them excellent targets for high-resolution spectroscopic […]


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

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

Posted by klaurent MIT

Kavli Affiliate: Scott A. Hughes | 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 ratios $q gtrsim 10^2$, are promising sources for future detectors such as the Laser Interferometer Space Antenna (LISA). […]


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

LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge

Posted by klaurent Cornell

Kavli Affiliate: Chris Xu | First 5 Authors: Songze Li, Songze Li, , , | Summary: Large Language Models (LLMs) have demonstrated exceptional capabilities across diverse tasks, driving the development and widespread adoption of LLM-as-a-Judge systems for automated evaluation, including red teaming and benchmarking. However, these systems are susceptible to adversarial attacks that can manipulate […]


Continue.. LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge