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

Rendle, B. M., Buldgen, G., Miglio, A., Reese, D., Noels, A., Davies, G. R., et al. (2019). AIMS – a new tool for stellar parameter determinations using asteroseismic constraints. Monthly Notices of the Royal Astronomical Society, 484(1), 771-786. doi:10.1093/mnras/stz031.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-D5BA-B Version Permalink: http://hdl.handle.net/21.11116/0000-0003-D5BC-9
Genre: Journal Article

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 Creators:
Rendle, Ben M, Author
Buldgen, Gaël, Author
Miglio, Andrea, Author
Reese, Daniel, Author
Noels, Arlette, Author
Davies, Guy R, Author
Campante, Tiago L, Author
Chaplin, William J, Author
Lund, Mikkel N, Author
Kuszlewicz, James S.1, Author              
Scott, Laura J A, Author
Scuflaire, Richard, Author
Ball, Warrick H, Author
Smetana, Jiri, Author
Nsamba, Benard, Author
Affiliations:
1Max Planck Research Group in Stellar Ages and Galactic Evolution (SAGE), Max Planck Institute for Solar System Research, Max Planck Society, ou_2265636              

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Free keywords: stars: fundamental parameters, stars: oscillations
 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.

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Language(s): eng - English
 Dates: 2019
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1093/mnras/stz031
arXiv: 1901.02663
 Degree: -

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Title: Monthly Notices of the Royal Astronomical Society
  Other : Mon. Not. R. Astron. Soc.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 484 (1) Sequence Number: - Start / End Page: 771 - 786 Identifier: ISSN: 1365-8711
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000024150