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Mode Identification Revisit and Asteroseismology of the DAV Star TIC 231277791
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作者 Z.K.Yao Y.H.Chen M.Y.Tang 《Research in Astronomy and Astrophysics》 2025年第4期235-243,共9页
White dwarfs(WDs)are the final stage for most low and intermediate mass stars,which play an important role in understanding stellar evolution and galactic history.Here we performed an asteroseismological analysis on T... White dwarfs(WDs)are the final stage for most low and intermediate mass stars,which play an important role in understanding stellar evolution and galactic history.Here we performed an asteroseismological analysis on TIC 231277791 based on 10 independent modes reported by Romero et al.Two groups of modes were identified with frequency splitting:mode identification_1 with one l=1,m=0 mode,two l=2,m=0 modes,and three l=1 or 2,m=0 modes,and mode identification_2 with one l=1,m=0 mode,three l=2,m=0 modes,and one l=1 or 2,m=0 mode.The rotation period is derived to be 41.64±2.73 hr for TIC 231277791.We established a large sample(7,558,272)of DAV star models using the White Dwarf Evolution Code(WDEC;2018,v16),resulting of optimal models with model_1(mode identification_1):M_(*)=0.570±0.005 M⊙,Teff=11300±10 K,-log(MH/M_(*))=9.15±0.01,-log(M_(He)/M_(*))=4.94±0.01,andσrms=0.06 s,and model_2(mode identification_2):M_(*)=0.720±0.005 M⊙,Teff=1910±10 K,-log(M_(H)/M_(*))=6.11±0.01,-log(M_(He)/M_(*))=3.09±0.01,andσrms=0.04 s.The central oxygen abundances are 0.71(optimal model_1)and 0.72(optimal model_2),respectively,which are consistent with the results of stellar structure and evolution theory. 展开更多
关键词 asteroseismology (stars:)white dwarfs (stars:)pulsars:individual(TIC 231277791)
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Asteroseismology of 16 Kepler Solar-like Stars:Stellar Parameters and the Effects of Element Diffusion
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作者 Shuai Wang Qian-Sheng Zhang 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2023年第7期206-220,共15页
Element diffusion has small but significant effects on the structure of the stellar interior.It is interesting to investigate the effects of element diffusion using asteroseismology.We have constructed two grids of st... Element diffusion has small but significant effects on the structure of the stellar interior.It is interesting to investigate the effects of element diffusion using asteroseismology.We have constructed two grids of stellar models,one with diffusion and one without,for solar-like stars with masses between 0.9 and 1.4 solar masses,and varied initial helium abundance and metallicity.The oscillation frequencies of all stellar models have also been calculated.Piecewise Hermite cubic polynomials are adopted to interpolate stellar p-mode frequencies at an arbitrary age on a stellar evolutionary track.We have investigated 16 Kepler solar-like stars by comparing the model frequencies with observations.The suggested ranges of stellar parameters and some global variables are obtained.For all stars,the best model reproduces the observational frequencies with aχ^(2)of the order of unity.It has been found that element diffusion is important in modeling solar-like stars.Without diffusion,the best value of the initial helium abundance is below the primordial helium abundance from Big Bang nucleosynthesis.When diffusion is taken into account,the required initial helium abundance increases to be higher than the primordial abundance.Diffusion also generally improves the frequency fitting results by reducing the minimum ofχ^(2).Investigation of the second difference of the oscillation frequencies on KIC 8694723 and KIC 10454113 indicates that the current model of element diffusion may underestimate the strength of settling. 展开更多
关键词 asteroseismology DIFFUSION stars:interiors stars:abundances
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BESTP——An automated Bayesian modeling tool for asteroseismology
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作者 Chen Jiang Laurent Gizon 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2021年第9期135-145,共11页
Asteroseismic observations are crucial to constrain stellar models with precision.Bayesian Estimation of STellar Parameters(BESTP)is a tool that utilizes Bayesian statistics and nested sampling Monte Carlo algorithm t... Asteroseismic observations are crucial to constrain stellar models with precision.Bayesian Estimation of STellar Parameters(BESTP)is a tool that utilizes Bayesian statistics and nested sampling Monte Carlo algorithm to search for the stellar models that best match a given set of classical and asteroseismic constraints from observations.The computation and evaluation of models are efficiently performed in an automated and multi-threaded way.To illustrate the capabilities of BESTP,we estimate fundamental stellar properties for the Sun and the red-giant star HD 222076.In both cases,we find models that are consistent with observations.We also evaluate the improvement in the precision of stellar parameters when the oscillation frequencies of individual modes are included as constraints,compared to the case when only the large frequency separation is included.For the solar case,the uncertainties of estimated masses,radii and ages are reduced by 0.7%,0.3%and 8%respectively.For HD 222076,they are reduced even more noticeably by 2%,0.5%and 4.7%respectively.We also note an improvement of 10%for the age of HD 222076 when the Gaia parallax is included as a constraint compared to the case when only the large separation is included as a constraint. 展开更多
关键词 stars:interiors stars:oscillations methods:numerical asteroseismology
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Lithium evolution in the low-mass evolved stars with asteroseismology and LAMOST spectroscopy
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作者 Hong-Liang Yan Jing-Hua Zhang +7 位作者 Yu-Tao Zhou Qi Gao Jian-Rong Shi Yerra Bharat Kumar Wako Aoki Haining Li Chunqian Li Gang Zhao 《Fundamental Research》 2025年第4期1547-1555,共9页
Lithium is an ancient element that was first produced by the Big Bang Nucleosynthesis(BBN)a few minutes after the birth of the Universe.Lithium is a sensitive tracer for a number of processes in a variety of astrophys... Lithium is an ancient element that was first produced by the Big Bang Nucleosynthesis(BBN)a few minutes after the birth of the Universe.Lithium is a sensitive tracer for a number of processes in a variety of astrophysical environments due to its multi-channels of production and fragility.These features also make lithium a complex element at the center of many unsolved problems.The behavior of lithium in the low-mass evolved stars is one such issue.It is known that such stars not only destroy but also produce lithium,while neither the destruction details nor the production mechanisms over different evolutionary phases are clear.In this paper,we summarize the recent results obtained from the studies combining large-scale spectroscopic surveys,asteroseismology,and traditional high-resolution spectroscopy.We present the detailed evolution behaviors from the red giant branch(RGB)to the red clump(RC)phase characterized by the core helium-burning in the stellar interior.We show the new signatures discovered from the recent studies for the lithium-enhanced giants and also discuss various observational and theoretical constraints on lithium production in red clump stars. 展开更多
关键词 Stellar evolution Stellar abundances Lithium stars Chemically peculiar stars Red giant stars Red giant clumpLow-mass star asteroseismology
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Stellar parameters of main sequence turn-off star candidates observed with LAMOST and Kepler 被引量:1
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作者 Ya-Qian Wu Mao-Sheng Xiang +10 位作者 Xian-Fei Zhang Tan-Da Li Shao-Lan Bi Xiao-Wei Liu Jian-Ning Fu Yang Huang Zhi-Jia Tian Kang Liu Zhi-Shuai Ge Xin He Jing-Hua Zhang 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2017年第1期55-70,共16页
Main sequence turn-off (MSTO) stars since their ages can be robustly estimated from have advantages as indicators of Galactic evolution atmospheric parameters. Hundreds of thousands of MSTO stars have been selected ... Main sequence turn-off (MSTO) stars since their ages can be robustly estimated from have advantages as indicators of Galactic evolution atmospheric parameters. Hundreds of thousands of MSTO stars have been selected from the LAMOST Galactic survey to study the evolution of the Galaxy, and it is vital to derive accurate stellar parameters. In this work, we select 150 MSTO star candidates from the MSTO star sample of Xiang that have asteroseismic parameters and determine accurate stellar parameters for these stars by combining asteroseismic parameters deduced from Kepler photometry and atmospheric parameters deduced from LAMOST spectra. With this sample, we examine the age determination as well as the contamination rate of the MSTO star sample. A comparison of age between this work and Xiang shows a mean difference of 0.53 Gyr (7%) and a dispersion of 2.71 Gyr (28%). The results show that 79 of the candidates are MSTO stars, while the others are contaminations from either main sequence or sub-giant stars. The contamination rate for the oldest stars is much higher than that for younger stars. The main cause for the high contamination rate is found to be the relatively large systematic bias in the LAMOST surface gravity estimates. 展开更多
关键词 stars: fundamental parameters - stars evolution - stars asteroseismology
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