论文标题
恒星种群合成在遥远宇宙中的应用
Applications of Stellar Population Synthesis in the Distant Universe
论文作者
论文摘要
与人造星系模型的比较对于转换我们可以在天体物理恒星种群中获得的不完整和低信噪比数据至关重要，这些数据描述了它们的组成，物理特性，历史和内部条件。特别是，这对于遥远的星系是正确的，他们的未解决的光嵌入了它们的形成和进化以及它们对更广泛的环境的影响。恒星种群合成模型现在被用作所有红移的分析基础，但并非没有问题。在这里，我们回顾了恒星种群合成模型的使用，重点是遥远宇宙中的应用。
Comparison with artificial galaxy models is essential for translating the incomplete and low signal-to-noise data we can obtain on astrophysical stellar populations to physical interpretations which describe their composition, physical properties, histories and internal conditions. In particular, this is true for distant galaxies, whose unresolved light embeds clues to their formation and evolution as well as their impact on their wider environs. Stellar population synthesis models are now used as the foundation of analysis at all redshifts, but are not without their problems. Here we review the use of stellar population synthesis models, with a focus on applications in the distant Universe.
