Tools to recover expectionally precise rotation curves from spatially resolved spectra.
Project description
eddy - Extracting Disk DYnamics
eddy is a suite of Python tools to recover precise rotation profiles of protoplanetary disks from Doppler shifted line emission. eddy makes fitting of first moment maps and the inference of a rotation velocity from an annulus of spectra a breeze.
Installation
The most simple method is with pip,
pip install astro-eddy
The only real dependencies for this are numpy, scipy, matplotlib, emcee, at least v3.0 or higher if you want the fancy progress bar, and corner. If you want to run the Gaussian Process method you will also need celerite which can be easily installed if you follow their installation guide.
If things have installed correctly you should be able to run the Jupyter Notebooks with no errors. If something goes wrong, please open an issue.
Useage
For guides on how to use eddy you will find extensive examples in the documents. We shameless recommend bettermoments to make the moment maps required for the fitting.
Attribution
If you use eddy as part of your research, please cite the JOSS article:
@article{eddy,
doi = {10.21105/joss.01220},
url = {https://doi.org/10.21105/joss.01220},
year = {2019},
month = {feb},
publisher = {The Open Journal},
volume = {4},
number = {34},
pages = {1220},
author = {Richard Teague},
title = {eddy},
journal = {The Journal of Open Source Software}
}
A full list of citations including dependencies can be found on the citations page.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file astro-eddy-1.3.1.tar.gz.
File metadata
- Download URL: astro-eddy-1.3.1.tar.gz
- Upload date:
- Size: 25.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a44709abf08d69c9c3df42947ad03ed13498e24cf0d2bae025444ef7398a5a32 |
|
| MD5 | 78067b4b40fd2784a309768d3cfba437 |
|
| BLAKE2b-256 | 91987644e32ec8ba71f926ff5d60e8a7d9fe7a3e16da62441a8bae9ef8302523 |
