aims – a new tool for stellar parameter determinations using asteroseismic constraints

A key aspect in the determination of stellar properties is the comparison of observational constraints with predictions from stellar models. Asteroseismic Inference on a Massive Scale (AIMS) is an open source code that uses Bayesian statistics and a Markov Chain Monte Carlo approach to find a repres...

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Published in:Monthly notices of the Royal Astronomical Society Vol. 484; no. 1; pp. 771 - 786
Main Authors: Rendle, Ben M, Buldgen, Gaël, Miglio, Andrea, Reese, Daniel, Noels, Arlette, Davies, Guy R, Campante, Tiago L, Chaplin, William J, Lund, Mikkel N, Kuszlewicz, James S, Scott, Laura J A, Scuflaire, Richard, Ball, Warrick H, Smetana, Jiri, Nsamba, Benard
Format: Journal Article
Language:English
Published: United Kingdom Oxford University Press (OUP): Policy P - Oxford Open Option A 21.03.2019
Oxford University Press
Subjects:
Asteroseismology
Astrophysics
Aérospatiale, astronomie & astrophysique
Physical, chemical, mathematical & earth Sciences
Physics
Physique, chimie, mathématiques & sciences de la terre
Space science, astronomy & astrophysics
oscillations
fundamental parameters -stars
stars
ISSN:0035-8711, 1365-2966, 1365-2966
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Abstract A key aspect in the determination of stellar properties is the comparison of observational constraints with predictions from stellar models. Asteroseismic Inference on a Massive Scale (AIMS) is an open source code that uses Bayesian statistics and a Markov Chain Monte Carlo approach to find a representative set of models that reproduce a given set of classical and asteroseismic constraints. These models are obtained by interpolation on a pre-calculated grid, thereby increasing computational efficiency. We test the accuracy of the different operational modes within AIMS for grids of stellar models computed with the Liège stellar evolution code (main sequence and red giants) and compare the results to those from another asteroseismic analysis pipeline, PARAM. Moreover, using artificial inputs generated from models within the grid (assuming the models to be correct), we focus on the impact on the precision of the code when considering different combinations of observational constraints (individual mode frequencies, period spacings, parallaxes, photospheric constraints,...). Our tests show the absolute limitations of precision on parameter inferences using synthetic data with AIMS, and the consistency of the code with expected parameter uncertainty distributions. Interpolation testing highlights the significance of the underlying physics to the analysis performance of AIMS and provides caution as to the upper limits in parameter step size. All tests demonstrate the flexibility and capability of AIMS as an analysis tool and its potential to perform accurate ensemble analysis with current and future asteroseismic data yields.
AbstractList A key aspect in the determination of stellar properties is the comparison of observational constraints with predictions from stellar models. Asteroseismic Inference on a Massive Scale (AIMS) is an open source code that uses Bayesian statistics and a Markov Chain Monte Carlo approach to find a representative set of models that reproduce a given set of classical and asteroseismic constraints. These models are obtained by interpolation on a pre-calculated grid, thereby increasing computational efficiency. We test the accuracy of the different operational modes within AIMS for grids of stellar models computed with the Liège stellar evolution code (main sequence and red giants) and compare the results to those from another asteroseismic analysis pipeline, PARAM. Moreover, using artificial inputs generated from models within the grid (assuming the models to be correct), we focus on the impact on the precision of the code when considering different combinations of observational constraints (individual mode frequencies, period spacings, parallaxes, photospheric constraints,...). Our tests show the absolute limitations of precision on parameter inferences using synthetic data with AIMS, and the consistency of the code with expected parameter uncertainty distributions. Interpolation testing highlights the significance of the underlying physics to the analysis performance of AIMS and provides caution as to the upper limits in parameter step size. All tests demonstrate the flexibility and capability of AIMS as an analysis tool and its potential to perform accurate ensemble analysis with current and future asteroseismic data yields.
Author Lund, Mikkel N
Campante, Tiago L
Reese, Daniel
Nsamba, Benard
Miglio, Andrea
Noels, Arlette
Kuszlewicz, James S
Scuflaire, Richard
Chaplin, William J
Davies, Guy R
Scott, Laura J A
Smetana, Jiri
Ball, Warrick H
Rendle, Ben M
Buldgen, Gaël
Author_xml – sequence: 1
  givenname: Ben M
  orcidid: 0000-0002-4254-0078
  surname: Rendle
  fullname: Rendle, Ben M
  organization: School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK, Stellar Astrophysics Centre (SAC), Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, DK-8000 Aarhus C, Denmark
– sequence: 2
  givenname: Gaël
  surname: Buldgen
  fullname: Buldgen, Gaël
  organization: School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK, Stellar Astrophysics Centre (SAC), Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, DK-8000 Aarhus C, Denmark
– sequence: 3
  givenname: Andrea
  orcidid: 0000-0001-5998-8533
  surname: Miglio
  fullname: Miglio, Andrea
  organization: School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK, Stellar Astrophysics Centre (SAC), Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, DK-8000 Aarhus C, Denmark
– sequence: 4
  givenname: Daniel
  orcidid: 0000-0003-4854-7550
  surname: Reese
  fullname: Reese, Daniel
  organization: LESIA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités, UPMC Univ. Paris 06, Univ. Paris Diderot, Sorbonne Paris Cité, F-92195 Meudon, France
– sequence: 5
  givenname: Arlette
  surname: Noels
  fullname: Noels, Arlette
  organization: STAR Institute, Université of Liège, Allée du Six Août 19C, B-4000 Liège, Belgium
– sequence: 6
  givenname: Guy R
  surname: Davies
  fullname: Davies, Guy R
  organization: School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK, Stellar Astrophysics Centre (SAC), Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, DK-8000 Aarhus C, Denmark
– sequence: 7
  givenname: Tiago L
  orcidid: 0000-0002-4588-5389
  surname: Campante
  fullname: Campante, Tiago L
  organization: Departamento de Física e Astronomia, Faculdade de Ciências da Universidade do Porto, Rua do Campo Alegre, s/n, P-4169-007 Porto, Portugal, Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, Rua das Estrelas, P-4150-762 Porto, Portugal
– sequence: 8
  givenname: William J
  surname: Chaplin
  fullname: Chaplin, William J
  organization: School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK, Stellar Astrophysics Centre (SAC), Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, DK-8000 Aarhus C, Denmark
– sequence: 9
  givenname: Mikkel N
  orcidid: 0000-0001-9214-5642
  surname: Lund
  fullname: Lund, Mikkel N
  organization: Stellar Astrophysics Centre (SAC), Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, DK-8000 Aarhus C, Denmark, School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
– sequence: 10
  givenname: James S
  surname: Kuszlewicz
  fullname: Kuszlewicz, James S
  organization: Max-Planck-Institut für Sonnensystemforschung, Justus-von-Liebig-Weg 3, D-37077 Göttingen, Germany, Stellar Astrophysics Centre (SAC), Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, DK-8000 Aarhus C, Denmark
– sequence: 11
  givenname: Laura J A
  orcidid: 0000-0001-8696-7981
  surname: Scott
  fullname: Scott, Laura J A
  organization: Keele Astrophysics Group, School of Chemical and Physical Sciences, Faculty of Natural Sciences, Keele University, Keele 5BG, UK
– sequence: 12
  givenname: Richard
  surname: Scuflaire
  fullname: Scuflaire, Richard
  organization: STAR Institute, Université of Liège, Allée du Six Août 19C, B-4000 Liège, Belgium
– sequence: 13
  givenname: Warrick H
  orcidid: 0000-0002-4773-1017
  surname: Ball
  fullname: Ball, Warrick H
  organization: School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK, Stellar Astrophysics Centre (SAC), Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, DK-8000 Aarhus C, Denmark
– sequence: 14
  givenname: Jiri
  surname: Smetana
  fullname: Smetana, Jiri
  organization: Imperial College London, Department of Physics, South Kensington Campus, London SW7 2AZ, UK, School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
– sequence: 15
  givenname: Benard
  surname: Nsamba
  fullname: Nsamba, Benard
  organization: Departamento de Física e Astronomia, Faculdade de Ciências da Universidade do Porto, Rua do Campo Alegre, s/n, P-4169-007 Porto, Portugal, Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, Rua das Estrelas, P-4150-762 Porto, Portugal
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Issue 1
Keywords oscillations
fundamental parameters -stars
stars
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  text: 2019-03-21
  day: 21
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PublicationTitle Monthly notices of the Royal Astronomical Society
PublicationYear 2019
Publisher Oxford University Press (OUP): Policy P - Oxford Open Option A
Oxford University Press
Publisher_xml – name: Oxford University Press (OUP): Policy P - Oxford Open Option A
– name: Oxford University Press
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Snippet A key aspect in the determination of stellar properties is the comparison of observational constraints with predictions from stellar models. Asteroseismic...
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SubjectTerms Asteroseismology
Astrophysics
Aérospatiale, astronomie & astrophysique
Physical, chemical, mathematical & earth Sciences
Physics
Physique, chimie, mathématiques & sciences de la terre
Space science, astronomy & astrophysics
Title aims – a new tool for stellar parameter determinations using asteroseismic constraints
URI https://hal.science/hal-03145268
https://orbi.uliege.be/handle/2268/256714
https://www.osti.gov/biblio/1491270
Volume 484
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