利用深度学习推断红巨星混合模振荡的耦合强度

IF 4.8 2区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS
Siddharth Dhanpal, Othman Benomar, Shravan Hanasoge, Masao Takata, Subrata Kumar Panda, Abhisek Kundu
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引用次数: 0

摘要

星震学是一种强大的工具,可以用来揭示恒星内部和恒星演化。混合模式,表现得像包层中的声波和核心中的浮力模式,是值得注意的,因为它们允许探测红巨星的辐射核心和消失区。在这里,我们开发了一个神经网络,可以在~ 5ms内准确地推断出类太阳恒星的耦合强度,这是一个与消失带大小相关的参数。与现有方法相比,我们发现,在约1700颗开普勒红巨星的样本中,只有约43%的推断是一致的,差异小于0.03。为了了解这些差异的起源,我们使用独立的技术,如蒙特卡洛马尔可夫链方法和阶梯图,分析了其中的一些恒星。通过我们的分析,我们发现这些替代技术支持神经网络推理。我们还证明了该网络可以用来估计具有结构不连续的恒星的耦合强度和周期间隔。我们的研究结果表明,红巨星分支中耦合强度的下降速度比以前认为的要快。这些结果比先前的估计更符合恒星演化模型的计算,进一步强调了恒星演化理论和计算的显著成功。此外,我们还表明,测量周期间距的不确定度随着耦合强度的减小而迅速增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inferring Coupling Strengths of Mixed-mode Oscillations in Red Giant Stars Using Deep Learning
Abstract Asteroseismology is a powerful tool that may be applied to shed light on stellar interiors and stellar evolution. Mixed modes, behaving like acoustic waves in the envelope and buoyancy modes in the core, are remarkable because they allow for probing the radiative cores and evanescent zones of red giant stars. Here, we have developed a neural network that can accurately infer the coupling strength, a parameter related to the size of the evanescent zone, of solar-like stars in ∼5 ms. In comparison with existing methods, we found that only ∼43% of inferences were in agreement with a difference less than 0.03 in a sample of ∼1700 Kepler red giants. To understand the origin of these differences, we analyzed a few of these stars using independent techniques such as the Monte Carlo Markov Chain method and echelle diagrams. Through our analysis, we discovered that these alternate techniques are supportive of the neural-net inferences. We also demonstrate that the network can be used to yield estimates of coupling strength and period spacing in stars with structural discontinuities. Our findings suggest that the rate of decline in the coupling strength in the red giant branch is greater than previously believed. These results are in closer agreement with calculations of stellar-evolution models than prior estimates, further underscoring the remarkable success of stellar evolution theory and computation. Additionally, we show that the uncertainty in measuring period spacing increases rapidly with diminishing coupling strength.
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来源期刊
Astrophysical Journal
Astrophysical Journal 地学天文-天文与天体物理
CiteScore
8.40
自引率
30.60%
发文量
2854
审稿时长
1 months
期刊介绍: The Astrophysical Journal is the foremost research journal in the world devoted to recent developments, discoveries, and theories in astronomy and astrophysics.
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