2019
DOI: 10.3847/1538-4357/ab232e
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Determining the Best Method of Calculating the Large Frequency Separation For Stellar Models

Abstract: Asteroseismology of solar-like oscillators often relies on the comparisons between stellar models and stellar observations in order to determine the properties of stars. The values of the global seismic parameters, ν max (the frequency where the smoothed amplitude of the oscillations peak) and ∆ν (the large frequency separation), are frequently used in grid-based modeling searches. However, the methods by which ∆ν is calculated from observed data and how ∆ν is calculated from stellar models are not the same. T… Show more

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Cited by 22 publications
(11 citation statements)
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“…4.4), we measure ∆ν also by fitting individual radial-mode frequencies (also known as 'peakbagging') following the approach presented in Davies et al (2016). The latter approach allows for a definition of ∆ν closer to that adopted in our models, as described in Sections 2.4 and 3 (see also Khan et al 2019 andViani et al 2019). Since measuring individual-mode frequencies is not a fully automated procedure yet, we apply this approach to the limited set of stars which we then use to make detailed, precise inferences on mass loss and age.…”
Section: Asteroseismic Constraintsmentioning
confidence: 99%
“…4.4), we measure ∆ν also by fitting individual radial-mode frequencies (also known as 'peakbagging') following the approach presented in Davies et al (2016). The latter approach allows for a definition of ∆ν closer to that adopted in our models, as described in Sections 2.4 and 3 (see also Khan et al 2019 andViani et al 2019). Since measuring individual-mode frequencies is not a fully automated procedure yet, we apply this approach to the limited set of stars which we then use to make detailed, precise inferences on mass loss and age.…”
Section: Asteroseismic Constraintsmentioning
confidence: 99%
“…We started by measuring the large frequency separation, Δν, and the frequency of maximum oscillation amplitude, n max , using a range of well-tested automated analysis methods (Huber et al 2009;Mosser & Appourchaux 2009;Mathur et al 2010;Corsaro & De Ridder 2014;Campante et al 2017Campante et al , 2019García Saravia Ortiz de Montellano et al 2018;Lightkurve Collaboration et al 2018;Viani et al 2019;Corsaro et al 2020), which have previously been extensively applied to Kepler/K2 data. Returned values were subject to a preliminary step that involved the rejection of outliers following Peirce's criterion (Peirce 1852;Gould 1855).…”
Section: Global Oscillation Parametersmentioning
confidence: 99%
“…The large separation ∆ν for the models were calculated from the frequencies of their radial modes, which in turn were calculated with the code of Antia & Basu (1994). The large separations were corrected for the surface term by applying the correction obtained by Viani et al (2019).…”
Section: Grid-based Modelingmentioning
confidence: 99%