joshspeagle / brutus

Modeling stellar photometry with "brute force" methods
MIT License
32 stars 5 forks source link
bayesian-inference brute-force dust mit-license photometry pure-python stars

brutus

Et tu, Brute?

brutus is a Pure Python package whose core modules involve using "brute force" Bayesian inference to derive distances, reddenings, and stellar properties from photometry.

The package is designed to be highly modular, with current modules including utilities for modelling individual stars, star clusters, and 3-D dust mapping.

Please contact Josh Speagle (j.speagle@utoronto.ca) with any questions.

Installation

The most recent stable release can be installed via pip by running

pip install astro-brutus

The development version can be installed by running

python setup.py install

from inside the repository.

Documentation

In progress.

Demos

The demos folder contains several Jupyter notebooks that illustrate how to use various parts of the code.

Data

Files needed to run different brutus modules can be downloaded directly here or using built-in utility functions.