1 citations · 1 across the 8 of their papers we have counts for
5 papers · 1 filter
Estimate Sonic Mach Number in the Interstellar Medium with Convolutional Neural Network
Tyler Schmaltz, Yue Hu, Alex Lazarian
Understanding the role of turbulence in shaping the interstellar medium (ISM) is crucial for studying star formation, molecular cloud evolution, and cosmic ray propagation. Central…
Machine Learning Approach for Estimating Magnetic Field Strength in Galaxy Clusters from Synchrotron Emission
Jiyao Zhang, Yue Hu, A. Lazarian
Magnetic fields play a crucial role in various astrophysical processes within the intracluster medium, including heat conduction, cosmic ray acceleration, and the generation of syn…
Probing Three-Dimensional Magnetic Fields: IV -- Synchrotron Polarization Derivative and Vision Transformer
Yue Hu, Alex Lazarian
Measuring the 3D spatial distribution of magnetic fields in the interstellar medium and the intracluster medium is crucial yet challenging. The probing of 3D magnetic field's 3D di…
Exploring magnetic fields in merging galaxy: combining polarization and velocity gradient in the Centaurus Galaxy
Quynh Lan Nguyen, Yue Hu, Alex Lazarian
In this study, we apply the Velocity Gradient Technique (VGT) to the merging Centaurus galaxy. We compare gradient maps derived from the PHANGS-ALMA survey using CO emission lines…
Probing Three-Dimensional Magnetic Fields: III -- Synchrotron Emission and Machine Learning
Yue Hu, Alex Lazarian
Synchrotron observation serves as a tool for studying magnetic fields in the interstellar medium and intracluster medium, yet its ability to unveil three-dimensional (3D) magnetic…