Published July 31, 2024 | Version v1.0.2
Software Open

ironman

  • 1. Pontificia Universidad Católica de Chile
  • 2. ROR icon Millennium Institute of Astrophysics
  • 3. ROR icon University of Amsterdam
  • 4. ROR icon Indiana University Bloomington
  • 5. ROR icon Adolfo Ibáñez University
  • 6. ROR icon Data Observatory Foundation
  • 7. El Sauce Observatory
  • 8. ROR icon European Southern Observatory
  • 9. ROR icon Universidade do Porto
  • 10. ROR icon Northern Arizona University
  • 11. ROR icon University of Cambridge
  • 12. ROR icon Instituto de Astrofísica de Andalucía

Description

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 Rossiter-McLaughlin effect.

The version of the code published here is: 1.0.2, which is the one decribed in Espinoza-Retamal et al. (2024). For more recent versions, check GitHub.

Installation

You can install ironman with pip

pip install ironman-package

Or you can download the zip file published here, uncompress it, and

cd ironman

pip install .

Dependencies

  • rmfit
  • numpy
  • scipy
  • pandas
  • batman-package
  • dynesty
  • astropy

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 the DOI for this Zenodo repository as well as Espinoza-Retamal et al. (2024)

 

Files

ironman-1.0.2.zip

Files (19.5 MB)

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Additional details

Software

Repository URL
https://github.com/jiespinozar/ironman
Programming language
Python
Development Status
Active