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ZENODO
Software . 2024
Data sources: ZENODO
ZENODO
Software . 2024
Data sources: Datacite
ZENODO
Software . 2024
Data sources: Datacite
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ironman

Authors: Espinoza-Retamal, Juan Ignacio; Stefansson, Gudmundur; Petrovich, Cristobal; Brahm, Rafael; Jordán, Andrés; Sedaghati, Elyar; Peralta Lucero, Jennifer; +5 Authors
Abstract

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)

Keywords

exoplanets, spin-orbit alignment, obliquity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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