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

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

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 2D density and velocity maps, and outputs disk and planet properties, that is, the Shakur...

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Bibliographic Details
Main Authors: Shunyuan Mao, Ruobing Dong, Kwang Moo Yi, Lu Lu, Sifan Wang, Paris Perdikaris
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Protoplanetary disks
Planetary-disk interactions
Hydrodynamical simulations
Neural networks
Online Access:https://doi.org/10.3847/1538-4357/ad8086

Internet

https://doi.org/10.3847/1538-4357/ad8086

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