2015
DOI: 10.1051/0004-6361/201425307
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Signs of deep mixing in starspot variability

Abstract: The current knowledge on plasma mixing in stellar interiors is based on theoretical modeling, which calibrates the empirical relations between the mixing and observable stellar parameters. Hence, a model-independent method of studying the mixing process is a desirable, but yet unfounded approach. Here, using a new spectral-correlation method, verified for the Sun, we show that deep mixing is manifested in stellar photometric light curves. We measure the timescales of the stochastic change in the spectral power… Show more

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Cited by 8 publications
(22 citation statements)
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“…The subject of the present paper is the verification of the results reported in Arkhypov et al (2015a) using the the improved method and an extended data set. This investigation allowed us to provide more convincing arguments for photometric manifestations of deep mixing in stars (Section 3), and to find an experimental analog of the MLT turnover time, τ MLT , which could be applied to study stellar activity and CZ modeling (e.g., Sections 4.1 and 4.3).…”
Section: Introductionmentioning
confidence: 76%
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“…The subject of the present paper is the verification of the results reported in Arkhypov et al (2015a) using the the improved method and an extended data set. This investigation allowed us to provide more convincing arguments for photometric manifestations of deep mixing in stars (Section 3), and to find an experimental analog of the MLT turnover time, τ MLT , which could be applied to study stellar activity and CZ modeling (e.g., Sections 4.1 and 4.3).…”
Section: Introductionmentioning
confidence: 76%
“…Detailed descriptions of the approach used can be found in our previous papers (Arkhypov et al 2015a(Arkhypov et al , 2015b. Therefore, below we simply briefly describe the key ideas of the improved algorithms of light-curve processing to explain the modifications.…”
Section: Modified Methods For Harmonics' Timescale Measurementmentioning
confidence: 99%
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