orbitize! v3: Orbit fitting for the High-contrast Imaging Community
Sarah Blunt, Jason Jinfei Wang, Lea Hirsch, Roberto Tejada, Vighnesh, Nagpal, Tirth Dharmesh Surti, Sofia Covarrubias, Thea McKenna, Rodrigo Ferrer, Ch\'avez, Jorge Llop-Sayson, Mireya Arora, Amanda Chavez, Devin Cody, Saanika, Choudhary, Adam J. R. W. Smith, William Balmer
TL;DR
orbitize! v3 is a Bayesian orbit fitting software tailored for high-contrast imaging and binary star communities, offering enhanced functionality and accessibility for analyzing time series measurements of resolved objects.
Contribution
This paper introduces orbitize! version 3.0, featuring significant improvements in functionality and user accessibility over previous versions.
Findings
Enhanced orbit fitting capabilities for high-contrast imaging data.
Broader applicability to binary star orbital analysis.
Improved user interface and computational efficiency.
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).
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Taxonomy
TopicsCCD and CMOS Imaging Sensors · Space Satellite Systems and Control · Distributed and Parallel Computing Systems