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The signature of granulation in a solar power spectrum as seen with CO5BOLD 

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The signature of granulation in a solar power spectrum as seen with CO5BOLD . / Lundkvist, Mia S.; Ludwig, Hans Günter; Collet, Remo; Straus, Thomas.

In: Monthly Notices of the Royal Astronomical Society, Vol. 501, No. 2, 02.2021, p. 2512-2521.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Lundkvist, MS, Ludwig, HG, Collet, R & Straus, T 2021, 'The signature of granulation in a solar power spectrum as seen with CO5BOLD ', Monthly Notices of the Royal Astronomical Society, vol. 501, no. 2, pp. 2512-2521. https://doi.org/10.1093/mnras/staa3656

APA

Lundkvist, M. S., Ludwig, H. G., Collet, R., & Straus, T. (2021). The signature of granulation in a solar power spectrum as seen with CO5BOLD . Monthly Notices of the Royal Astronomical Society, 501(2), 2512-2521. https://doi.org/10.1093/mnras/staa3656

CBE

Lundkvist MS, Ludwig HG, Collet R, Straus T. 2021. The signature of granulation in a solar power spectrum as seen with CO5BOLD . Monthly Notices of the Royal Astronomical Society. 501(2):2512-2521. https://doi.org/10.1093/mnras/staa3656

MLA

Vancouver

Lundkvist MS, Ludwig HG, Collet R, Straus T. The signature of granulation in a solar power spectrum as seen with CO5BOLD . Monthly Notices of the Royal Astronomical Society. 2021 Feb;501(2):2512-2521. https://doi.org/10.1093/mnras/staa3656

Author

Lundkvist, Mia S. ; Ludwig, Hans Günter ; Collet, Remo ; Straus, Thomas. / The signature of granulation in a solar power spectrum as seen with CO5BOLD . In: Monthly Notices of the Royal Astronomical Society. 2021 ; Vol. 501, No. 2. pp. 2512-2521.

Bibtex

@article{18d31e403d56471a8b491a5987803e9c,
title = "The signature of granulation in a solar power spectrum as seen with CO5BOLD ",
abstract = "The granulation background seen in the power spectrum of a solar-like oscillator poses a serious challenge for extracting precise and detailed information about the stellar oscillations. Using a 3D hydrodynamical simulation of the Sun computed with co5bold, we investigate various background models to infer, using a Bayesian methodology, which one provides the best fit to the background in the simulated power spectrum. We find that the best fit is provided by an expression including the overall power level and two characteristic frequencies, one with an exponent of two and one with a free exponent taking on a value around six. We assess the impact of the 3D hydro-code on this result by repeating the analysis with a simulation from S tagger and find that the main conclusion is unchanged. However, the details of the resulting best fits differ slightly between the two codes, but we explain this difference by studying the effect of the spatial resolution and the duration of the simulation on the fit. Additionally, we look into the impact of adding white noise to the simulated time series as a simple way to mimic a real star. We find that, as long as the noise level is not too low, the results are consistent with the no-noise case.",
keywords = "hydrodynamics, Sun: granulation",
author = "Lundkvist, {Mia S.} and Ludwig, {Hans G{\"u}nter} and Remo Collet and Thomas Straus",
note = "Funding Information: The authors wish to thank Guy R. Davies for valuable discussions and python routines implementing PYSTAN, Ren? Salhab for sharing PYTHON routines for reading CO5BOLD files, and Matthias Steffen for providing the solar model c600. Additionally, the authors would like to thank the anonymous referee for providing comments that improved the manuscript. MSL is supported by the Carlsberg Foundation (Grant agreement no.: CF17-0760). Funding for the Stellar Astrophysics Centre is provided by The Danish National Research Foundation (Grant DNRF106). HGL acknowledges financial support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 138713538 - SFB 881 ('The Milky Way System', subproject A04). The simulations of our Reference model were carried out at CINECA (Bologna/Italy)with CPU time assigned under INAF/CINECA agreement 2008/2010. Publisher Copyright: {\textcopyright} 2021 The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = feb,
doi = "10.1093/mnras/staa3656",
language = "English",
volume = "501",
pages = "2512--2521",
journal = "Royal Astronomical Society. Monthly Notices",
issn = "0035-8711",
publisher = "Oxford University Press",
number = "2",

}

RIS

TY - JOUR

T1 - The signature of granulation in a solar power spectrum as seen with CO5BOLD 

AU - Lundkvist, Mia S.

AU - Ludwig, Hans Günter

AU - Collet, Remo

AU - Straus, Thomas

N1 - Funding Information: The authors wish to thank Guy R. Davies for valuable discussions and python routines implementing PYSTAN, Ren? Salhab for sharing PYTHON routines for reading CO5BOLD files, and Matthias Steffen for providing the solar model c600. Additionally, the authors would like to thank the anonymous referee for providing comments that improved the manuscript. MSL is supported by the Carlsberg Foundation (Grant agreement no.: CF17-0760). Funding for the Stellar Astrophysics Centre is provided by The Danish National Research Foundation (Grant DNRF106). HGL acknowledges financial support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 138713538 - SFB 881 ('The Milky Way System', subproject A04). The simulations of our Reference model were carried out at CINECA (Bologna/Italy)with CPU time assigned under INAF/CINECA agreement 2008/2010. Publisher Copyright: © 2021 The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/2

Y1 - 2021/2

N2 - The granulation background seen in the power spectrum of a solar-like oscillator poses a serious challenge for extracting precise and detailed information about the stellar oscillations. Using a 3D hydrodynamical simulation of the Sun computed with co5bold, we investigate various background models to infer, using a Bayesian methodology, which one provides the best fit to the background in the simulated power spectrum. We find that the best fit is provided by an expression including the overall power level and two characteristic frequencies, one with an exponent of two and one with a free exponent taking on a value around six. We assess the impact of the 3D hydro-code on this result by repeating the analysis with a simulation from S tagger and find that the main conclusion is unchanged. However, the details of the resulting best fits differ slightly between the two codes, but we explain this difference by studying the effect of the spatial resolution and the duration of the simulation on the fit. Additionally, we look into the impact of adding white noise to the simulated time series as a simple way to mimic a real star. We find that, as long as the noise level is not too low, the results are consistent with the no-noise case.

AB - The granulation background seen in the power spectrum of a solar-like oscillator poses a serious challenge for extracting precise and detailed information about the stellar oscillations. Using a 3D hydrodynamical simulation of the Sun computed with co5bold, we investigate various background models to infer, using a Bayesian methodology, which one provides the best fit to the background in the simulated power spectrum. We find that the best fit is provided by an expression including the overall power level and two characteristic frequencies, one with an exponent of two and one with a free exponent taking on a value around six. We assess the impact of the 3D hydro-code on this result by repeating the analysis with a simulation from S tagger and find that the main conclusion is unchanged. However, the details of the resulting best fits differ slightly between the two codes, but we explain this difference by studying the effect of the spatial resolution and the duration of the simulation on the fit. Additionally, we look into the impact of adding white noise to the simulated time series as a simple way to mimic a real star. We find that, as long as the noise level is not too low, the results are consistent with the no-noise case.

KW - hydrodynamics

KW - Sun: granulation

UR - http://www.scopus.com/inward/record.url?scp=85100310434&partnerID=8YFLogxK

U2 - 10.1093/mnras/staa3656

DO - 10.1093/mnras/staa3656

M3 - Journal article

AN - SCOPUS:85100310434

VL - 501

SP - 2512

EP - 2521

JO - Royal Astronomical Society. Monthly Notices

JF - Royal Astronomical Society. Monthly Notices

SN - 0035-8711

IS - 2

ER -