orbitize! v3: Orbit fitting for the High-contrastImaging Community

orbitize! is a package for Bayesian modeling of the orbital parameters of resolved binary objects from time series measurements.It was developed with the needs of the high-contrast imaging community in mind, and has since also become widely used in the binary star community.A generic orbitize!use case involves translating relative astrometric time series, optionally combined with radial velocity or astrometric time series, into a set of derived orbital posteriors.This paper is published alongside the release of orbitize!version 3.0, which has seen significant enhancements in functionality and accessibility since the release of version 1.0 (Blunt et al., 2020).

Authors

Publication Details

Journal
The Journal of Open Source Software
Published
2024-09-21
DOI
https://doi.org/10.21105/joss.06756
Citations
6
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
1.99

Funders

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article

orbitize! v3: Orbit fitting for the High-contrastImaging Community

T. E. McKenna, Robert J. De Rosa, William O. Balmer, Tirth Surti et al.
6 citations
The Journal of Open Source Software
Stellar, planetary, and galactic studies
1.99
article

orbitize! v3: Orbit fitting for the High-contrastImaging Community

T. E. McKenna, Robert J. De Rosa, William O. Balmer, Tirth Surti, E. Nielsen, Adam J. R. W. Smith, Jorge Llop-Sayson, Clarissa R. Do Ó, Roberto Tejada Arevalo, Rodrigo Ferrer-Chávez, Vighnesh Nagpal, T. Stolker, Sarah Blunt, Hannah Gallamore, Lea A. Hirsch, Mireya Arora, Sofia Covarrubias, Devin Cody, Jason Wang, Saanika Choudhary, Amanda Chavez
article en
6 citations

Abstract

orbitize! is a package for Bayesian modeling of the orbital parameters of resolved binary objects from time series measurements.It was developed with the needs of the high-contrast imaging community in mind, and has since also become widely used in the binary star community.A generic orbitize!use case involves translating relative astrometric time series, optionally combined with radial velocity or astrometric time series, into a set of derived orbital posteriors.This paper is published alongside the release of orbitize!version 3.0, which has seen significant enhancements in functionality and accessibility since the release of version 1.0 (Blunt et al., 2020).

The Journal of Open Source SoftwareVol. 9(101)
National Aeronautics and Space Administration, Nuclear Safety and Security Commission
Openalex Percentile: Top 14%
Stellar, planetary, and galactic studies
1.99
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