orbitize!: A Comprehensive Orbit-fitting Software Package for the High-contrast Imaging Community
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Final Published Version
Author
Blunt, Sarah
Wang, Jason J.

Angelo, Isabel
Ngo, Henry

Cody, Devin
De Rosa, Robert J.
Graham, James R.
Hirsch, Lea

Nagpal, Vighnesh
Nielsen, Eric L.

Pearce, Logan
Rice, Malena
Tejada, Roberto
Affiliation
Univ Arizona, Steward ObservIssue Date
2020-02-05
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IOP PUBLISHING LTDCitation
Sarah Blunt et al 2020 AJ 159 89Journal
ASTRONOMICAL JOURNALRights
Copyright © 2020. The American Astronomical Society. All rights reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
orbitize! is an open-source, object-oriented software package for fitting the orbits of directly imaged objects. It packages the Orbits for the Impatient (OFTI) algorithm and a parallel-tempered Markov Chain Monte Carlo (MCMC) algorithm into a consistent and intuitive Python API. orbitize! makes it easy to run standard astrometric orbit fits; in less than 10 lines of code, users can read in data, perform one fit using OFTI and another using MCMC, and make two publication-ready figures. Extensive pedagogical tutorials, intended to be navigable by both orbit-fitting novices and seasoned experts, are available on our documentation page. We have designed the orbitize! API to be flexible and easy to use/modify for unique cases. orbitize! was designed by members of the exoplanet imaging community to be a central repository for algorithms, techniques, and know-how developed by this community. We intend for it to continue to expand and change as the field progresses and new techniques are developed, and call for community involvement in this process. Complete and up-to-date documentation is available at.orbitize.info, and the source code is available at.github.com/sblunt/orbitize.ISSN
0004-6256Version
Final published versionae974a485f413a2113503eed53cd6c53
10.3847/1538-3881/ab6663