论文标题
种植第一个星系的合并树
Growing the First Galaxies' Merger Trees
论文作者
论文摘要
对特定星系的生长历史进行建模通常涉及生成在给定宇宙学和具有适当特性的系统中产生的整个物体群体。当靶向诸如JWST检测到的极度发光的高红色星系候选者之类的稀有系统时，这种方法效率很高。在这里，我们提出了一个新颖的框架，用于生成带有树枝的合并树，这些树枝可以保证在选定的红移下实现所需的光晕质量。此方法以约束的随机过程称为布朗桥，扩展了延长的新闻Schechter理论解决方案，并在开源的半分析模型$ \ texttt {allacticus} $中实现。我们生成受约束的合并树的集合，以预测七个高红速度JWST GALAXY候选人的增长历史，发现这些系统很可能在观察时期和占据质量$ \ gtrsim 10^{14} 〜M _ $}的$ \ gtrsim $ \ gtrsim $ \ gtrsim $ \ gtrsim $ \ gtrsim $ \ gtrs的光环之后最有可能合并2〜 \ mathrm {gyr} $。这些计算的效率是现有方法的数千倍，可以通过分析控制，并提供了对晕光的演变，并具有快速的早期生长。我们受约束的合并树实现可在http://github.com/galacticusorg/galacticus上公开获得。
Modelling the growth histories of specific galaxies often involves generating the entire population of objects that arise in a given cosmology and selecting systems with appropriate properties. This approach is highly inefficient when targeting rare systems such as the extremely luminous high-redshift galaxy candidates detected by JWST. Here, we present a novel framework for generating merger trees with branches that are guaranteed to achieve a desired halo mass at a chosen redshift. This method augments extended Press Schechter theory solutions with constrained random processes known as Brownian bridges and is implemented in the open-source semi-analytic model $\texttt{Galacticus}$. We generate ensembles of constrained merger trees to predict the growth histories of seven high-redshift JWST galaxy candidates, finding that these systems most likely merge $\approx 2~\mathrm{Gyr}$ after the observation epoch and occupy haloes of mass $\gtrsim 10^{14}~M_{\mathrm{\odot}}$ today. These calculations are thousands of times more efficient than existing methods, are analytically controlled, and provide physical insights into the evolution of haloes with rapid early growth. Our constrained merger tree implementation is publicly available at http://github.com/galacticusorg/galacticus.
