2016
DOI: 10.1002/asna.201612373
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Towards 21st century stellar models: Star clusters, supercomputing and asteroseismology

Abstract: Stellar models provide a vital basis for many aspects of astronomy and astrophysics. Recent advances in observational astronomy -through asteroseismology, precision photometry, high-resolution spectroscopy, and large-scale surveys -are placing stellar models under greater quantitative scrutiny than ever. The model limitations are being exposed and the next generation of stellar models is needed as soon as possible. The current uncertainties in the models propagate to the later phases of stellar evolution, hind… Show more

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Cited by 9 publications
(9 citation statements)
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“…Multidimensional hydrodynamical simulations of convection are key to understanding this mass range. A new theory of convection, such as the 321D theory under development (Arnett et al, 2015;Campbell et al, 2016), would help to constrain the WD/SN boundary .…”
Section: Convectionmentioning
confidence: 99%
“…Multidimensional hydrodynamical simulations of convection are key to understanding this mass range. A new theory of convection, such as the 321D theory under development (Arnett et al, 2015;Campbell et al, 2016), would help to constrain the WD/SN boundary .…”
Section: Convectionmentioning
confidence: 99%
“…Work is proceeding to improve the physics on the treatment of convection and convective boundaries beyond the Mixing Length Theory (MLT) [see e.g. Arnett et al (2015); Campbell et al (2016); Arnett & Moravveji (2017)]. ii) A better understanding of low-temperature opacities and mass-loss rates is crucial.…”
Section: Future Topics Of Researchmentioning
confidence: 99%
“…Schindler et al (2015) applied atomic diffusion without overshoot to yield monotonic growth in the mass of the convective core (which similarly occurs due to numerical diffusion in MONSTAR models without explicit overshoot and an insufficiently resolved mesh; see e.g. the upper panel of Figure 1 in Campbell et al 2016). VandenBerg et al (2016) and Denissenkov et al (2017) produce a similar structure by choosing appropriate parameters for the mixing scheme described by Equation 1: they use a small value for the parameter fOS, which is then reduced further late in CHeB; they also measure D0 from close to the convective boundary and replace it with a fraction of the thermal diffusivity K when D0 < K.…”
Section: Recent Progress In Modellingmentioning
confidence: 99%