Kavli Affiliate: Renxin Xu | First 5 Authors: Wei-Yang Wang, Xiaohui Liu, Dongzi Li, Bing Zhang, Chen-Hui Niu | Summary: Frequency-dependent polarization properties provide crucial insights into the radiation mechanisms and magnetic environments of fast radio bursts (FRBs). We explore an analytical solution of radiative transfer of the polarization properties of FRBs as a strong […]
Kavli Affiliate: Kejia Lee | First 5 Authors: Wei-Yang Wang, Xiaohui Liu, Dongzi Li, Bing Zhang, Chen-Hui Niu | Summary: Frequency-dependent polarization properties provide crucial insights into the radiation mechanisms and magnetic environments of fast radio bursts (FRBs). We explore an analytical solution of radiative transfer of the polarization properties of FRBs as a strong […]
Kavli Affiliate: Luis C. Ho | First 5 Authors: Xiao Cao, Yan-Mei Chen, Yong Shi, Junfeng Wang, Zhi-Jie Zhou | Summary: Dual active galactic nuclei (AGNs) with comparable masses are commonly witnessed among the major merged galaxies with interaction remnants. Considering almost every massive galaxy is associated with multiple dwarf satellites around it, minor mergers […]
Kavli Affiliate: Luis C. Ho | First 5 Authors: Xiao Cao, Yan-Mei Chen, Yong Shi, Junfeng Wang, Zhi-Jie Zhou | Summary: Dual active galactic nuclei (AGNs) with comparable masses are commonly witnessed among the major merged galaxies with interaction remnants. Considering almost every massive galaxy is associated with multiple dwarf satellites around it, minor mergers […]
Kavli Affiliate: Jing Wang | First 5 Authors: Chao Chen, Shu-Tian Xue, Yu-Peng Shi, Jing Wang, Zi-Mo Cheng | Summary: The Hong-Ou-Mandel effect is a paradigmatic quantum phenomenon demonstrating the interference of two indistinguishable photons that are linearly coupled at a 50:50 beam splitter. Here, we transpose such a two-particle quantum interference effect to the […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]
Kavli Affiliate: Lijing Shao | First 5 Authors: Yiming Dong, Ziming Wang, Hai-Tian Wang, Junjie Zhao, Lijing Shao | Summary: Gravitational-wave (GW) ringdown signals from black holes (BHs) encode crucial information about the gravitational dynamics in the strong-field regime, which offers unique insights into BH properties. In the future, the improving sensitivity of GW detectors […]