Maelstrom

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maelstrom is a set of custom PyMC3 Models and solvers for modelling binary orbits through the phase modulation technique. Unlike previous codes, maelstrom fits each individual datapoint in the time series by forward modelling the time delay onto the light curve. This approach fully captures variations in a light curve caused by an orbital companion.

To install the current version:

git clone https://github.com/danhey/maelstrom.git
cd maelstrom
pip install -e .

To get started:

from maelstrom import Maelstrom
ms = Maelstrom(time, flux)
ms.optimize()

Case studies from paper

License & attribution

Copyright 2019 Daniel Hey, Daniel Foreman-Mackey, and Simon Murphy.

The source code is made available under the terms of the MIT license.

Changelog

0.2 (2020)

  • Paper release

  • Updated all example notebooks

  • Include subdividing model (Eddy)

0.1 (2019)

  • Initial release.