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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Vydáno v:	Monthly notices of the Royal Astronomical Society Ročník 484; číslo 1; s. 771 - 786
Hlavní autoři:	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
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United Kingdom Oxford University Press (OUP): Policy P - Oxford Open Option A 21.03.2019 Oxford University Press
Témata:	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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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
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