Pulsar timing array detections of supermassive binary black holes: implications from the detected common process signal and beyond

Kavli Affiliate: Qingjuan Yu | First 5 Authors: , , , , | Summary: Pulsar timing arrays (PTAs) are anticipated to detect the stochastic gravitational wave background (GWB) from supermassive binary black holes (BBHs) as well as the gravitational waves from individual BBHs. Recently, a common process signal was reported by several PTAs. In this […]


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The correlations of stellar tidal disruption rates with properties of massive black holes and their host galaxies

Kavli Affiliate: Qingjuan Yu | First 5 Authors: Yunfeng Chen, Qingjuan Yu, Youjun Lu, , | Summary: Stars can be either disrupted as tidal disruption events (TDEs) or swallowed as a whole by massive black holes (MBHs) at galactic centers when they approach sufficiently close to these MBHs. In this work, we investigate the correlations […]


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Frequency Modulation of Gravitational Waves by Ultralight Scalar Dark Matter

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, , , , | Summary: The oscillating pressure of the ultralight scalar dark matter (DM) can induce the oscillation of the local gravitational potential. Similar to the time-dependent frequency shift for the pulse signals of pulsars, the oscillation of the local gravitational potential can induce […]


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Frequency Modulation of Gravitational Waves by Ultralight Scalar Dark Matter

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Yin Zhong, , , | Summary: The oscillating pressure of the ultralight scalar dark matter (DM) can induce the oscillation of the local gravitational potential. Similar to the time-dependent frequency shift for the pulse signals of pulsars, the oscillation of the local gravitational potential can […]


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Genes in Intelligent Agents

Kavli Affiliate: Jing Wang | First 5 Authors: Fu Feng, Jing Wang, Xu Yang, Xin Geng, | Summary: The genes in nature give the lives on earth the current biological intelligence through transmission and accumulation over billions of years. Inspired by the biological intelligence, artificial intelligence (AI) has devoted to building the machine intelligence. Although […]


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Environmental dependence of Type IIn supernova properties

Kavli Affiliate: Subo Dong | First 5 Authors: Takashi J. Moriya, Lluis Galbany, Cristina Jimenez-Palau, Joseph P. Anderson, Hanindyo Kuncarayakti | Summary: Type IIn supernovae occur when stellar explosions are surrounded by dense hydrogen-rich circumstellar matter. The dense circumstellar matter is likely formed by extreme mass loss from their progenitors shortly before they explode. The […]


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The MAGPI Survey: Impact of environment on the total internal mass distribution of galaxies in the last 5 Gyr

Kavli Affiliate: Yingjie Peng | First 5 Authors: Caro Derkenne, Richard M. McDermid, Adriano Poci, J. Trevor Mendel, Francesco D’Eugenio | Summary: We investigate the impact of environment on the internal mass distribution of galaxies using the Middle Ages Galaxy Properties with Integral field spectroscopy (MAGPI) survey. We use 2D resolved stellar kinematics to construct […]


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Radial and Non-Radial Oscillations of Inverted Hybrid Stars

Kavli Affiliate: Lijing Shao | First 5 Authors: Chen Zhang, Yudong Luo, Hong-bo Li, Lijing Shao, Renxin Xu | Summary: We study the radial and non-radial oscillations of Cross stars (CrSs), i.e., stars with a quark matter crust and a hadronic matter core in an inverted order compared to conventional hybrid stars. We draw comparisons […]


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RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Kavli Affiliate: Ke Wang | First 5 Authors: Yifan Song, Weimin Xiong, Dawei Zhu, Wenhao Wu, Han Qian | Summary: Tool-augmented large language models (LLMs) have achieved remarkable progress in tackling a broad range of tasks. However, existing methods are mainly restricted to specifically designed tools and fail to fulfill complex instructions, having great limitations […]


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An Empirical Study of Bugs in Quantum Machine Learning Frameworks

Kavli Affiliate: Zhuo Li | First 5 Authors: Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao | Summary: Quantum computing has emerged as a promising domain for the machine learning (ML) area, offering significant computational advantages over classical counterparts. With the growing interest in quantum machine learning (QML), ensuring the correctness and robustness […]


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