Kavli Affiliate: Yingjie Peng | First 5 Authors: Bitao Wang, Yingjie Peng, , , | Summary: The bimodality in the stellar spin of low redshift (massive) galaxies, ubiquitously existing at all star formation levels and in diverse environment, suggests that galaxies grow and quench through two diverged evolutionary pathways. For spheroid-dominated galaxies of slow stellar […]
Kavli Affiliate: Yingjie Peng | First 5 Authors: Bitao Wang, Yingjie Peng, , , | Summary: The bimodality in the stellar spin of low redshift (massive) galaxies, ubiquitously existing at all star formation levels and in diverse environment, suggests that galaxies grow and quench through two diverged evolutionary pathways. For spheroid-dominated galaxies of slow stellar […]
Kavli Affiliate: Yingjie Peng | First 5 Authors: Bitao Wang, Yingjie Peng, Michele Cappellari, , | Summary: The hierarchical structure formation of our Universe inherently involves violent and chaotic episodes of mass assembly such as galaxy mergers. The level of bulk rotation of the collisionless stellar systems of galaxies reflects to what extent the galaxies, […]
Kavli Affiliate: Jia Liu | First 5 Authors: Qi Bi, Jinhui Guo, Jia Liu, Yan Luo, Xiao-Ping Wang | Summary: We explore the potential of studying sterile neutrinos at a future high-energy muon collider, where these particles can generate small active neutrino masses via the seesaw mechanism and exhibit long-lived particle signatures. A Dirac sterile […]
Kavli Affiliate: Ruobing Dong | First 5 Authors: Shunyuan Mao, Ruobing Dong, Kwang Moo Yi, Lu Lu, Sifan Wang | Summary: We introduce Disk2Planet, a machine learning-based tool to infer key parameters in disk-planet systems from observed protoplanetary disk structures. Disk2Planet takes as input the disk structures in the form of two-dimensional density and velocity […]
Kavli Affiliate: Jia Liu | First 5 Authors: Xinrui Zhou, Yuhao Huang, Haoran Dou, Shijing Chen, Ao Chang | Summary: In the medical field, the limited availability of large-scale datasets and labor-intensive annotation processes hinder the performance of deep models. Diffusion-based generative augmentation approaches present a promising solution to this issue, having been proven effective […]
Kavli Affiliate: Jiansheng Chen | First 5 Authors: Kun Song, Zhiquan Tan, Bochao Zou, Jiansheng Chen, Huimin Ma | Summary: In this paper, we utilize information-theoretic metrics like matrix entropy and mutual information to analyze supervised learning. We explore the information content of data representations and classification head weights and their information interplay during supervised […]