astrodust 1.0.0

A library for predicting the distribution of dust particles in protoplanetary disks

Astrodust

A package for predicting the distribution of dust particles in protoplanetary disk based off our paper "Multi-Output Random Forest Regression to Emulatethe Earliest Stages of Planet Formation".

Installation

Astrodust can be installed from PyPI via pip:

pip install astrodust

Pretrained Models

The package requires two pretrained models, a random forest regression model and XGBoost classifier. These can be downloaded beforehand from Zenodo and placed in the current working directory in a models directory. Otherwise the package will prompt to automatically download them when the DustModel is instaniated.

Documentation

The documentation for the package is located here. A demonstration code notebook is also available, or can be viewed online here.

Particle sizes for each bin for the input and output are included as a reference in our wiki.