arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2403.02489astro-ph.SRastro-ph.EP
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精确时域星震学与修订后的 TESS 类太阳振荡恒星目标列表

Precise Time-Domain Asteroseismology and a Revised Target List for TESS Solar-Like Oscillators

Daniel Hey, Daniel Huber, Joel Ong, Dennis Stello, Daniel Foreman-Mackey

AI总结:

本文提出基于 Gaussian Process 核的时域振荡建模方法,显著提升 νmax 测量精度,并结合 Gaia DR3 修订 TESS 类太阳振荡恒星探测概率与目标列表。

摘要:

TESS 任务已为类太阳振荡恒星提供了大量星震学数据。然而,这些数据受到不同采样节奏、大间隙和不等间隔采样的影响,使频域分析变得复杂。一种解决方案是在时域中对振荡进行建模,将其视为随机阻尼简谐振子,并通过 Gaussian Process 核的线性组合来表示。我们在已被充分研究的次巨星 nu Indi 以及由 TESS 观测的一组 Kepler 红巨星样本上演示了该方法,发现时域模型在测量 νmax 时,相比典型频域方法,精度几乎提高了两倍。为将该方法应用于新探测,我们使用来自 Gaia DR3 和 TESS input catalog 的恒星参数,为所有满足 T<12 mag 且预测 νmax>240 μHz 的 TESS input catalog 目标计算修订后的星震学探测概率。我们还提供了一个软件工具,用于计算任意感兴趣目标的探测概率。利用更新后的探测概率,我们表明时域星震学具有足够灵敏度,可恢复边缘探测,这或许可以解释目前基于频率的 TESS 振荡探测数量为何少于飞行前预期。

英文摘要:

The TESS mission has provided a wealth of asteroseismic data for solar-like oscillators. However, these data are subject to varying cadences, large gaps, and unequal sampling, which complicates analysis in the frequency domain. One solution is to model the oscillations in the time domain by treating them as stochastically damped simple harmonic oscillators through a linear combination of Gaussian Process kernels. We demonstrate this method on the well-studied subgiant star nu Indi and a sample of Kepler red giant stars observed by TESS, finding that the time domain model achieves an almost two-fold increase in accuracy for measuring νmax compared to typical frequency domain methods. To apply the method to new detections, we use stellar parameters from Gaia DR3 and the TESS input catalog to calculate revised asteroseismic detection probabilities for all TESS input catalog targets with T<12 mag and a predicted νmax>240μHz. We also provide a software tool to calculate detection probabilities for any target of interest. Using the updated detection probabilities we show that time-domain asteroseismology is sensitive enough to recover marginal detections, which may explain the current small number of frequency-based detections of TESS oscillations compared to pre-flight expectations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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