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orbitize! v3: Orbit fitting for the High-contrast Imaging Communityorbitize! 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).
Document ID
20240015752
Acquisition Source
2230 Support
Document Type
Reprint (Version printed in journal)
Authors
Sarah Blunt ORCID
(Northwestern University Evanston, United States)
Jason J Wang ORCID
(United States Naval Research Laboratory Washington, United States)
Lea Hirsch
(University of Toronto Toronto, Canada)
Roberto Tejada
(Princeton University Princeton, United States)
Vighnesh Nagpal ORCID
(University of California, Berkeley Berkeley, United States)
Tirth Dharmesh Surti
(Stanford University Stanford, United States)
Sofia Covarrubias ORCID
(California Institute of Technology Pasadena, United States)
Thea McKenna ORCID
(Southeastern Universities Research Association Washington D.C., District of Columbia, United States)
Rodrigo Ferrer Chávez
(Northwestern University Evanston, United States)
Jorge Llop-Sayson ORCID
(Jet Propulsion Laboratory La Cañada Flintridge, United States)
Mireya Arora
(University of Michigan–Ann Arbor Ann Arbor, United States)
Amanda Chavez
(Northwestern University Evanston, United States)
Devin Cody ORCID
(Google (United States) Mountain View, California, United States)
Saanika Choudhary
(Northwestern University Evanston, United States)
Adam J R W Smith
(New Mexico State University Las Cruces, United States)
William Balmer ORCID
(Johns Hopkins University Baltimore, United States)
Tomas Stolker ORCID
(Leiden University Leiden, Netherlands)
Hannah Gallamore
(New Mexico State University Las Cruces, United States)
Clarissa R Do Ó ORCID
(University of California, San Diego San Diego, United States)
Eric L Nielsen ORCID
(New Mexico State University Las Cruces, United States)
Robert J De Rosa ORCID
(European Southern Observatory Santiago, Chile)
Date Acquired
December 9, 2024
Publication Date
September 21, 2024
Publication Information
Publication: Journal of Open Source Software
Publisher: Open Journals
Volume: 9
Issue: 101
Issue Publication Date: September 21, 2024
e-ISSN: 2475-9066
Subject Category
Computer Programming and Software
Funding Number(s)
CONTRACT_GRANT: 80NSSC21K0958
CONTRACT_GRANT: 80NSSC23K0280
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
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