Welcome to Chronostar-TNG’s documentation!#

Chronostar is a Python library for discovering and characterising unbound stellar associations (aka “moving groups”) and their members using features such as kinematics, age markers, chemical composition. The code can be found on github.

This documentation details the usage of the next generation of Chronostar code.

It turns out fitting Gaussian Mixture Models is quite complex, so a lot of the API design (Buitinck et al. 2013) will be shamelessly inspired by scikit-learn.

Publications#

Chronostar: a novel Bayesion method for kinematic age determination. I. Derivation and application to the Beta Pictoris Moving Group - Crundall et al. (2019)

Chronostar. II. Kinematic age and substruction of the Scorpius-Cenaurus OB2 association - Žerjal et al. (submitted).

Note

This project is under active development

Contents:

Indices and tables#