orbitize! v3: Orbit fitting for the High-contrast Imaging Community

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...

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Vydáno v:Journal of open source software Ročník 9; číslo 101; s. 6756
Hlavní autoři: Blunt, Sarah, Wang, Jason J, 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, Rosa, Robert J De
Médium: Journal Article
Jazyk:angličtina
Vydáno: 2230 Support Open Journals 21.09.2024
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ISSN:2475-9066, 2475-9066
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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).
AbstractList 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).
Audience PUBLIC
Author Covarrubias, Sofia
Wang, Jason J
Hirsch, Lea
Nagpal, Vighnesh
Smith, Adam J R W
Surti, Tirth Dharmesh
Chávez, Rodrigo Ferrer
Nielsen, Eric L
Choudhary, Saanika
Rosa, Robert J De
Tejada, Roberto
McKenna, Thea
Balmer, William
Llop-Sayson, Jorge
Arora, Mireya
Cody, Devin
Blunt, Sarah
Chavez, Amanda
Stolker, Tomas
Ó, Clarissa R Do
Gallamore, Hannah
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  organization: Northwestern University
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  givenname: Jason J
  orcidid: 0000-0003-0774-6502
  surname: Wang
  fullname: Wang, Jason J
  organization: United States Naval Research Laboratory
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  givenname: Lea
  surname: Hirsch
  fullname: Hirsch, Lea
  organization: University of Toronto
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  organization: Princeton University
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  organization: University of California, Berkeley
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  organization: Stanford University
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  organization: California Institute of Technology
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  organization: Southeastern Universities Research Association
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  givenname: Rodrigo Ferrer
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  organization: Northwestern University
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  organization: Jet Propulsion Laboratory
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  organization: University of Michigan–Ann Arbor
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  fullname: Chavez, Amanda
  organization: Northwestern University
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  givenname: Devin
  orcidid: 0000-0002-7713-5937
  surname: Cody
  fullname: Cody, Devin
  organization: Google (United States)
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  givenname: Saanika
  surname: Choudhary
  fullname: Choudhary, Saanika
  organization: Northwestern University
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  givenname: Adam J R W
  surname: Smith
  fullname: Smith, Adam J R W
  organization: New Mexico State University
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  givenname: William
  orcidid: 0000-0001-6396-8439
  surname: Balmer
  fullname: Balmer, William
  organization: Johns Hopkins University
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  orcidid: 0000-0002-5823-3072
  surname: Stolker
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  organization: Leiden University
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  givenname: Hannah
  surname: Gallamore
  fullname: Gallamore, Hannah
  organization: New Mexico State University
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  givenname: Clarissa R Do
  orcidid: 0000-0001-5173-2947
  surname: Ó
  fullname: Ó, Clarissa R Do
  organization: University of California, San Diego
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  givenname: Eric L
  orcidid: 0000-0001-6975-9056
  surname: Nielsen
  fullname: Nielsen, Eric L
  organization: New Mexico State University
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  givenname: Robert J De
  orcidid: 0000-0002-4918-0247
  surname: Rosa
  fullname: Rosa, Robert J De
  organization: European Southern Observatory
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References Covarrubias (Covarrubias:2022) 2022; 6
Bowler (Bowler:2016) 2016; 128
Bowler (Bowler:2020) 2020; 159
Blunt (Blunt:2023a) 2023; 166
Brandt (orvara) 2021; 162
O’Neil (ONeil:2019) 2019; 158
Brandt (Brandt:2021) 2021; 254
Nielsen (Nielsen:2020) 2020; 159
Lacour (Lacour:2021) 2021; 654
Thompson (Thompson:2023) 2023; 166
Speagle (Speagle:2020) 2020; 493
Blunt (Blunt:2020) 2020; 159
Bryan (Bryan:2020) 2020; 159
Surti (Surti:2023) 2023; 7
Ferrer-Chávez (Ferrer-Chavez:2021) 2021; 5
Blunt (orbitize) 2024
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Snippet orbitize! is a package for Bayesian modeling of the orbital parameters of resolved binary objects from time series measurements. It was developed with the...
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Title orbitize! v3: Orbit fitting for the High-contrast Imaging Community
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