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.
1 maintainer
Metadata
1 maintainer
Release files for astrodust 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| astrodust-1.0.0.tar.gz | 110.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| astrodust-1.0.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 117.6 kB
Release files / astrodust-1.0.0.tar.gz
| Download URL | astrodust-1.0.0.tar.gz |
|---|---|
| Size | 110.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / astrodust-1.0.0-py2.py3-none-any.whl
| Download URL | astrodust-1.0.0-py2.py3-none-any.whl |
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| Size | 7.1 kB |
| Tags | Python 2 Python 3 |
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