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CNN method and Zhang et al. 2018 fitting method to estimate planet mass from gaps

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PGNets

This repository contains CNN methods to estimate planet mass from protoplanetary disk gaps.

Credit

This package utilizes planet-disk interactions simulation data in Zhang et al. (2018), and opacity in Birnstiel et al. (2018).

Data

The training data is large (2.7G) and not included in this repo. If you would like to train the model by yourself, the original data is at available at here.

Notebooks

Jupyter notebooks are available in the notebooks folder.

Dependency

This package uses Tensorflow. Tensorflow installation https://docs.anaconda.com/anaconda/user-guide/tasks/tensorflow/

Install the following package to avoid the died kernel using Jupyter notebook conda install nomkl

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CNN method and Zhang et al. 2018 fitting method to estimate planet mass from gaps

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