行星状星云中的硫异常：何去何从？
Whither or wither the Sulfur Anomaly in Planetary Nebulae?
AI总结：
本文利用126个银河系核球行星状星云的高精度丰度数据，以氩为金属丰度指标并结合机器学习，揭示硫异常主要源于早期电离校正因子方案及前身星年龄/质量相关的尘埃化学，并提出其可作为星系年龄组成指标。
摘要：
我们对长期存在的硫异常之谜进行了彻底研究。我们的分析使用了目前最广泛的数据集，该数据集包含126个行星状星云（PNe）的化学丰度，来自银河系核球10×10度区域，具有更高的精度和更小的不确定性。通过使用氩作为更优的行星状星云金属丰度指标，该异常显著减小并得到更好的约束。我们首次在行星状星云中展示了硫的α元素与氧和氩的同步变化。我们排除了该异常源于对更高硫电离阶段低估的假说。利用机器学习方法，我们表明早期的电离校正因子（ICFs）方案对该异常有显著贡献。我们发现硫异常与行星状星云前身星的年龄/质量之间存在相关性，在具有年轻前身星的行星状星云中，该异常要么不存在，要么显著减小。尽管存在固有的挑战和不确定性，我们将其与行星状星云的尘埃化学联系起来，并注意到具有碳尘埃化学的行星状星云表现出更明显的异常。通过整合这些发现，我们为残余的、已减小的硫异常提供了一个合理的解释，并提出其作为基于行星状星云的相对星系年龄组成指标的潜力。
英文摘要：
We present a thorough investigation of the long standing sulfur anomaly enigma. Our analysis uses chemical abundances from the most extensive dataset available for 126 planetary nebulae (PNe) with improved accuracy and reduced uncertainties from a 10x10 degree Galactic bulge region. By using argon as a superior PNe metallicity indicator, the anomaly is significantly reduced and better constrained. For the first time in PNe we show sulfur alpha-element lock-step with both oxygen and argon. We dispel hypotheses that the anomaly originates from underestimation of higher sulfur ionization stages. Using a machine learning approach, we show that earlier ionization correction factor (ICFs) schemes contributed significantly to the anomaly. We find a correlation between the sulfur anomaly and the age/mass of PNe progenitors, with the anomaly either absent or significantly reduced in PNe with young progenitors. Despite inherent challenges and uncertainties, we link this to PNe dust chemistry, noting those with carbon-dust chemistry show a more pronounced anomaly. By integrating these findings, we provide a plausible explanation for the residual, reduced sulfur anomaly and propose its potential as an indicator of relative galaxy age compositions based on PNe.
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