orbitize! v3: Orbit fitting for the High-contrast Imaging Community
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arXiv
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| Autori principali: | , , , , , , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913526358999040 |
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| author | Blunt, Sarah Wang, Jason Jinfei Hirsch, Lea Tejada, Roberto Nagpal, Vighnesh Surti, Tirth Dharmesh Covarrubias, Sofia McKenna, Thea Chávez, Rodrigo Ferrer Llop-Sayson, Jorge Arora, Mireya Chavez, Amanda Cody, Devin Choudhary, Saanika Smith, Adam J. R. W. Balmer, William Stolker, Tomas Gallamore, Hannah Ó, Clarissa R. Do Nielsen, Eric L. De Rosa, Robert J. |
| author_facet | Blunt, Sarah Wang, Jason Jinfei Hirsch, Lea Tejada, Roberto Nagpal, Vighnesh Surti, Tirth Dharmesh Covarrubias, Sofia McKenna, Thea Chávez, Rodrigo Ferrer Llop-Sayson, Jorge Arora, Mireya Chavez, Amanda Cody, Devin Choudhary, Saanika Smith, Adam J. R. W. Balmer, William Stolker, Tomas Gallamore, Hannah Ó, Clarissa R. Do Nielsen, Eric L. De Rosa, Robert J. |
| contents | 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). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_11573 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | orbitize! v3: Orbit fitting for the High-contrast Imaging Community Blunt, Sarah Wang, Jason Jinfei Hirsch, Lea Tejada, Roberto Nagpal, Vighnesh Surti, Tirth Dharmesh Covarrubias, Sofia McKenna, Thea Chávez, Rodrigo Ferrer Llop-Sayson, Jorge Arora, Mireya Chavez, Amanda Cody, Devin Choudhary, Saanika Smith, Adam J. R. W. Balmer, William Stolker, Tomas Gallamore, Hannah Ó, Clarissa R. Do Nielsen, Eric L. De Rosa, Robert J. Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics Solar and Stellar Astrophysics 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). |
| title | orbitize! v3: Orbit fitting for the High-contrast Imaging Community |
| topic | Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics Solar and Stellar Astrophysics |
| url | https://arxiv.org/abs/2409.11573 |