The kinematic bimodality: Efficient feedback and cold gas deficiency in slow-rotating galaxies

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 […]


Continue.. The kinematic bimodality: Efficient feedback and cold gas deficiency in slow-rotating galaxies

The kinematic bimodality: Efficient feedback and cold gas deficiency in slow-rotating galaxies

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 […]


Continue.. The kinematic bimodality: Efficient feedback and cold gas deficiency in slow-rotating galaxies

Universal bimodality in kinematic morphology and the divergent pathways to galaxy quenching

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, […]


Continue.. Universal bimodality in kinematic morphology and the divergent pathways to galaxy quenching

Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems

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 […]


Continue.. Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems

Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training

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 […]


Continue.. Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training

Constraining Quasar Feedback from Analysis of the Hydrostatic Equilibrium of the Molecular Gas in Their Host Galaxies

Kavli Affiliate: Jinyi Shangguan | First 5 Authors: Qinyue Fei, Ran Wang, Juan Molina, Luis C. Ho, Jinyi Shangguan | Summary: We investigate the kinematics and dynamics of the molecular and ionized gas in the host galaxies of three Palomar-Green quasars at low redshifts, benefiting from the archival millimeter-wave interferometric and optical integral field unit […]


Continue.. Constraining Quasar Feedback from Analysis of the Hydrostatic Equilibrium of the Molecular Gas in Their Host Galaxies

DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics

Kavli Affiliate: Jing Wang | First 5 Authors: Dongyu Luo, Jianyu Wu, Jing Wang, Hairun Xie, Xiangyu Yue | Summary: We showcase the plain diffusion models with Transformers are effective predictors of fluid dynamics under various working conditions, e.g., Darcy flow and high Reynolds number. Unlike traditional fluid dynamical solvers that depend on complex architectures […]


Continue.. DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics

First Resolution of Microlensed Images of a Binary-Lens Event

Kavli Affiliate: Jinyi Shangguan | First 5 Authors: Zexuan Wu, Subo Dong, A. Mérand, Christopher S. Kochanek, Przemek Mróz | Summary: We resolve the multiple images of the binary-lens microlensing event ASASSN-22av using the GRAVITY instrument of the Very Large Telescope Interferometer (VLTI). The light curves show weak binary perturbations, complicating the analysis, but the […]


Continue.. First Resolution of Microlensed Images of a Binary-Lens Event

First Resolution of Microlensed Images of a Binary-Lens Event

Kavli Affiliate: Subo Dong | First 5 Authors: Zexuan Wu, Subo Dong, A. Mérand, Christopher S. Kochanek, Przemek Mróz | Summary: We resolve the multiple images of the binary-lens microlensing event ASASSN-22av using the GRAVITY instrument of the Very Large Telescope Interferometer (VLTI). The light curves show weak binary perturbations, complicating the analysis, but the […]


Continue.. First Resolution of Microlensed Images of a Binary-Lens Event

First Resolution of Microlensed Images of a Binary-Lens Event

Kavli Affiliate: Subo Dong | First 5 Authors: Zexuan Wu, Subo Dong, A. Mérand, Christopher S. Kochanek, Przemek Mróz | Summary: We resolve the multiple images of the binary-lens microlensing event ASASSN-22av using the GRAVITY instrument of the Very Large Telescope Interferometer (VLTI). The light curves show weak binary-lens perturbations, complicating the analysis, but the […]


Continue.. First Resolution of Microlensed Images of a Binary-Lens Event