Sarah Blunt, Jason Jinfei Wang, Vighnesh Nagpal, Lea Hirsch, Roberto Tejada, Tirth Dharmesh Surti, Sofia Covarrubias, Thea McKenna, Rodrigo Ferrer Chávez, Jorge Llop-Sayson, Mireya Arora, Amanda Chavez, Devin Cody, Saanika Choudhary, Adam Smith, William Balmer, Tomas Stolker, Hannah Gallamore, Clarissa R. Do Ó, Eric L. Nielsen, Robert J. De Rosa
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引用次数: 0
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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