用早型Galerkin探测近红外演化布居合成模型
Probing Evolutionary Population Synthesis Models in the Near Infrared with Early Type Galaxies
摘要：
利用近红外光谱（NIR，$\sim$ 1.0 $μ$ m-2.4 $μ$ m）研究了早型星系的恒星星族。使用五种不同的进化群体合成模型库进行合成。我们的主要结果可以总结如下：低光谱分辨率库是不能够产生可靠的结果时，单独应用于近红外光谱，每个库找到一个不同的优势种群。另一方面，两个最新的高分辨率模型表现得更好，发现彼此和文献值的结果一致。我们还发现，即使对于较低分辨率的模型，光学结果也是一致的。我们还比较了光学和近红外光谱的结果，发现较低的分辨率模型往往不同意在光学和近红外光谱，与较高比例的年轻人口在近红外光谱和尘埃消光$\sim$ 1个数量级高于光学值。对于更高分辨率的模型，光学和近红外结果往往一致得更好，这表明更高的光谱分辨率是提高结果质量的基础。
英文摘要：
We performed a near-infrared (NIR, $\sim$1.0$μ$m-2.4$μ$m) stellar population study in a sample of early type galaxies. The synthesis was performed using five different evolutionary population synthesis libraries of models. Our main results can be summarized as follows: low spectral resolution libraries are not able to produce reliable results when applied to the NIR alone, with each library finding a different dominant population. The two newest higher resolution models, on the other hand, perform considerably better, finding consistent results to each other and to literature values. We also found that optical results are consistent with each other even for lower resolution models. We also compared optical and NIR results, and found out that lower resolution models tend to disagree in the optical and in the NIR, with higher fraction of young populations in the NIR and dust extinction $\sim$1 magnitude higher than optical values. For higher resolution models, optical and NIR results tend do aggree much better, suggesting that a higher spectral resolution is fundamental to improve the quality of the results.
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