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arXiv 1604.01036astro-ph.GAastro-ph.CO
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恒星质量函数的高质量端:对恒星星族模型的依赖性和光剖面拟合之间的一致性

The high mass end of the stellar mass function: Dependence on stellar population models and agreement between fits to the light profile

M. Bernardi, A. Meert, R. K. Sheth, J. -L. Fischer, M. Huertas-Company, C. Maraston, F. Shankar, V. Vikram

摘要:

我们量化的恒星质量函数的系统性影响所产生的假设有关的恒星星族,以及如何适合在z ~ 0.1的最明亮的星系的光剖面。在比较文献结果时,我们会小心地将这些影响分离出来。我们的分析表明,虽然在估计的同动数密度的不同治疗所产生的恒星星族的系统学仍然是为了< 0.5德克斯,光度学的系统学现在约为0.1德克斯,尽管最近在文献中的索赔。与这些最近的分析相比,以前基于斯隆数字巡天(SDSS)管道测光的工作导致rho_*(> M_*)在10^11 - 10^11.6 M_太阳质量范围内被低估了3-10倍,但在更高的恒星质量范围内被低估了100倍。这影响了将大质量星系与暗物质晕相匹配的研究。尽管对恒星星族的不同处理所产生的系统学仍然保持在< 0.5 dex的量级,但我们发现,测光系统学现在在恒星质量密度上只达到约0.1 dex,这与十年前相比是一个显著的进步。我们的研究结果突出了使用相同的恒星星族和光度模型时,低和高红移样品进行比较的重要性。

英文摘要:

We quantify the systematic effects on the stellar mass function which arise from assumptions about the stellar population, as well as how one fits the light profiles of the most luminous galaxies at z ~ 0.1. When comparing results from the literature, we are careful to separate out these effects. Our analysis shows that while systematics in the estimated comoving number density which arise from different treatments of the stellar population remain of order < 0.5 dex, systematics in photometry are now about 0.1 dex, despite recent claims in the literature. Compared to these more recent analyses, previous work based on Sloan Digital Sky Survey (SDSS) pipeline photometry leads to underestimates of rho_*(> M_*) by factors of 3-10 in the mass range 10^11 - 10^11.6 M_Sun, but up to a factor of 100 at higher stellar masses. This impacts studies which match massive galaxies to dark matter halos. Although systematics which arise from different treatments of the stellar population remain of order < 0.5 dex, our finding that systematics in photometry now amount to only about 0.1 dex in the stellar mass density is a significant improvement with respect to a decade ago. Our results highlight the importance of using the same stellar population and photometric models whenever low and high redshift samples are compared.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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