ironman-package 1.0.1

Joint Fit Rossiter McLaughlin Data with photometry and out-of-transit radial velocities

ironman

ironman is a Python package for jointly fitting in-transit and out-of-transit radial velocities with photometric data. Its main objective is measuring the stellar obliquity of the orbit of a planet using the canonical Rossiter-McLaughlin effect.

Dependencies

• rmfit (and its dependencies, install from here: https://github.com/gummiks/rmfit)
• numpy (pip install numpy)
• scipy (pip install scipy)
• pandas (pip install pandas)
• batman-package (pip install batman-package)
• dynesty (pip install dynesty)
• astropy (pip install astropy)

Installation

You can install ironman with pip

pip install ironman-package

Or cloning the repository

git clone https://github.com/jiespinozar/ironman
cd ironman
pip install .

Examples

To see examples of the usage of this module, see the example notebooks in the Examples folder.

• Example 1: How to fit data with ironman (sky-projected obliquity)
• Example 2: How to simulate data (e.g., for proposals)
• Example 3: How to fit data with ironman (true 3D obliquity)

Citation

If you use this code, please cite Espinoza-Retamal et al. 2024

If you use the RM fitting capability, please cite Stefansson et al. 2022 and Hirano et al. 2010

If you use the transit fitting capability, please cite Kreidberg et al. 2015

If you use the RV fitting capability, please cite: Fulton et al. 2018