Application of Convolutional Neural Networks to Predict Magnetic Fields’ Directions in Turbulent Clouds

Application of Convolutional Neural Networks to Predict Magnetic Fields’ Directions in Turbulent Clouds

We adopt the deep learning method casi-3d (convolutional approach to structure identification-3D) to infer the orientation of magnetic fields in sub-/trans-Alfvénic turbulent clouds from molecular line emission. We carry out magnetohydrodynamic simulations with different magnetic field strengths and...

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Bibliographic Details
Main Authors: Duo Xu, Chi-Yan Law, Jonathan C. Tan
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Interstellar medium
Interstellar magnetic fields
Convolutional neural networks
Molecular clouds
Magnetohydrodynamics
Online Access:https://doi.org/10.3847/1538-4357/aca66c

Internet

https://doi.org/10.3847/1538-4357/aca66c

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