Pyriod

Python implementation of basic pre-whitening period detection and fitting routines for astronomical time series data.

Pyriod aims to provide most of the functionality of the wonderful program Period04 in the Python environment for the modern astronomy workflow.

The interactive GUI runs in a Jupyter Notebook environment.

Please report any new bugs or request new features on the issues page on GitHub.

Pyriod is written and maintained by Keaton Bell.

Additional documentation and tutorials are under development.

Installation

To install, use

pip install Pyriod

or download the latest (possibly unstable) version from GitHub and run

python setup.py install.

Dependencies

Pyriod requires Python 3.

You can view a list of package requirements here. Beyond fairly standard packages of astronomy research and plotting (Astropy, Pandas, ipywidgets, etc.), these few specific projects really made Pyriod possible, and are worth looking into if you want to understand or extend the code:

• lightkurve -- A friendly package for Kepler & TESS time series analysis in Python.
• Lmfit -- Non-linear least-squares minimization and curve-fitting for Python.
• qgrid -- An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks. Huge thanks to qgridnext for keeping the functionality alive and compatible with modern python/dependencies.

Acknowledgement

This material is based upon work supported by the National Science Foundation under Grant No. AST-2406917.