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arXiv 2512.08090astro-ph.GAastro-ph.SR
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双侵入模型再审视:基于超过30,000个银河化学演化的模型和机器学习对银河系晕形成约束

The Two-infall Model Revisited: Constraints on Milky Way Bulge Assembly from >30,000 Galactic Chemical Evolution Models and Machine Learning

University of Wyoming(怀俄明大学);Space Telescope Science Institute(太空望远镜科学研究所);Department of Astronomy, University of Florida(佛罗里达大学天文学系);University of Bayreuth(拜罗伊特大学);Konkoly Observatory, HUN-REN Research Centre for Astronomy and Earth Sciences(孔科利天文台,匈牙利研究与教育网络地球与天文学研究中心);CSFK, MTA Centre of Excellence(CSFK,匈牙利科学院卓越中心);Department of Physics and Astronomy, UCLA(加州大学洛杉矶分校物理与天文学系)

Niall Miller, Meridith Joyce, Christian I. Johnson, Jamie Tayar, Thomas Trueman, R. Michael Rich

AI总结:

通过超过30,000个银河化学演化模型和机器学习,研究揭示银河系晕形成过程中早期快速恒星爆发与后期低质量侵入的复合机制。

摘要:

我们利用OMEGA++代码中实现的一种双侵入银河化学演化(GCE)框架,对银河系晕的形成历史进行了约束。我们恢复了一个最佳拟合场景,其中晕通过一个早期快速恒星爆发(t1 ~ 0.1Gyr,tau1 ~ 0.09Gyr,恒星形成效率(SFE)~ 3Gyr^-1)形成,随后是延迟的、质量较低的第二次侵入(t2 ~ 5.1Gyr,tau2 ~ 1.7Gyr,sigma2 ~ 0.69)。我们的模型采用现代恒星网格中依赖质量和金属licity的核合成产率,并探索了广泛的GCE参数空间,包括侵入时间、恒星形成效率、质量分配、IMF上限质量和Ia型超新星归一化,通过混合遗传算法与MCMC优化。后来的侵入特征是恒星形成效率降低(Delta SFE ~ 0.72),重现了晕金属丰度分布函数(MDF)的金属富集峰以及高[Fe/H]下的[alpha/Fe]下降。我们的模型自然倾向于Joyce等人(2023)的年龄-金属licity关系,而非Bensby等人(2017)的年龄。退化和主成分分析显示,侵入历史、SFE和质量分配之间存在强相关性——晕的观测MDF、丰度趋势和年龄分布只能约束它们的组合,而不是每个参数单独。结果支持了复合晕起源——经典坍缩构建了大部分质量,而年轻成分则需要匹配晚期的富集。

英文摘要:

We constrain the formation history of the Milky Way bulge using a two-infall galactic chemical evolution (GCE) algorithm implemented in the N'OMEGA+ code. We recover a best-fit scenario in which the bulge forms through an early, rapid starburst ($t_1 \sim 0.1$ Gyr, $τ_1 \sim 0.09$ Gyr, and star formation efficiency (SFE) $\sim 3~\mathrm{Gyr}^{-1}$), followed by a delayed, lower-mass second infall ($t_2 \sim 5.1$ Gyr, $τ_2 \sim 1.7$ Gyr, and $σ_2 \sim 0.69$). Our model adopts mass- and metallicity-dependent nucleosynthetic yields from modern stellar grids and explores a wide GCE parameter space in infall timing, SFE, mass partitioning, initial mass function upper mass, and type Ia supernova normalization, optimized via a hybrid genetic algorithm with Markov Chain Monte Carlo refinement. The later infall features a reduced SFE ($Δ\mathrm{SFE} \sim 0.72$), reproducing the metal-rich peak of the bulge metallicity distribution function (MDF) and the decline in [$α$/Fe] at high [Fe/H]. Our model naturally favors the M. Joyce et al. age--metallicity relation over the ages in T. Bensby et al. Degeneracy and principal component analyses show that the infall history, SFE, and mass partitioning are strongly covariant---the bulge's observed MDF, abundance trends, and age distribution constrain only their combinations, not each parameter independently. The results support a composite bulge origin---an early, rapid collapse builds the majority of the mass, while a younger component is required to match the late-stage enrichment.

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