论文标题
恢复最近淬火星系的星形形成历史:模型和先前选择的影响
Recovering the star formation histories of recently-quenched galaxies: the impact of model and prior choices
论文作者
论文摘要
最近淬火星系的恒星形成历史(SFHS)的准确模型可以提供有关星系何时以及如何关闭其恒星形成的约束。 “非参数” SFH模型的最新发展有望进行这些测量所需的灵活性。但是,模型和先前的选择显着影响衍生的SFH,特别是对于恒星后星系(PSB),其最近的SFH发生了急剧变化。在本文中,我们创建模拟PSB,然后使用勘探者SED拟合软件来测试四种不同的SFH模型如何恢复关键属性。我们发现,两个组分的参数模型对我们的简单模拟星系表现良好,但对模型不匹配敏感。勘探者中包含的固定和柔性汤非参数模型能够迅速消除一系列的恒星形成,但系统地将爆发后的年龄低至200 MYR。我们开发了一种自定义SFH模型,该模型允许在最近的SFH中提高灵活性。我们的灵活的非参数模型能够限制爆炸后年龄,而没有显着偏移,只有〜90 myr散射。我们的结果表明,尽管标准的非参数模型能够恢复SFH的一阶数量(质量,SFR,平均年龄),因此准确地恢复了高阶(爆发分数,淬火时间),需要仔细考虑模型灵活性。这些模拟恢复测试是未来SFH研究的关键部分。最后,我们表明我们的新公共SFH模型能够准确恢复模拟星形成和静态星系的特性,并且适合在SED拟合社区中更广泛使用。
Accurate models of the star formation histories (SFHs) of recently-quenched galaxies can provide constraints on when and how galaxies shut down their star formation. The recent development of "non-parametric" SFH models promises the flexibility required to make these measurements. However, model and prior choices significantly affect derived SFHs, particularly for post-starburst galaxies (PSBs) which have sharp changes in their recent SFH. In this paper, we create mock PSBs, then use the Prospector SED fitting software to test how well four different SFH models recover key properties. We find that a two-component parametric model performs well for our simple mock galaxies, but is sensitive to model mismatches. The fixed- and flexible-bin non-parametric models included in Prospector are able to rapidly quench a major burst of star formation, but systematically underestimate the post-burst age by up to 200 Myr. We develop a custom SFH model that allows for additional flexibility in the recent SFH. Our flexible non-parametric model is able to constrain post-burst ages with no significant offset and just ~90 Myr of scatter. Our results suggest that while standard non-parametric models are able to recover first-order quantities of the SFH (mass, SFR, average age), accurately recovering higher-order quantities (burst fraction, quenching time) requires careful consideration of model flexibility. These mock recovery tests are a critical part of future SFH studies. Finally, we show that our new, public SFH model is able to accurately recover the properties of mock star-forming and quiescent galaxies and is suitable for broader use in the SED fitting community.