arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0812.5111astro-ph
收藏

宽谱测光法估算莱曼Break半导体物理参数的偏差与不确定性

Biases and Uncertainties in Physical Parameter Estimates of Lyman Break Galaxies from Broad-band Photometry

Seong-Kook Lee, Rafal Idzi, Henry C. Ferguson, Rachel S. Somerville, Tommy Wiklind, Mauro Giavalisco

摘要:

研究了用宽波段测光方法估算高红移Lyman break星系(LBG)的恒星质量、平均恒星星族年龄和恒星形成率(SFR)等物理参数时存在的偏差和不确定性。通过结合LCDM分级结构形成理论,重子物理的半解析处理,和恒星星族合成模型,我们构建模型星系目录,我们选择的LBG在红移z ~ 3.4,4.0,和5.0。这些模型LBG的宽带光谱能量分布(SED),然后通过拟合星系模板SED来自恒星星族合成模型与平滑下降的SFR分析。我们比较的统计特性的LBG的物理参数-如恒星质量,SFR,和恒星星族年龄-来自最适合的星系模板与半解析模型的内在价值。我们发现这些分布中的一些趋势:首先,当红移是已知的,SED拟合方法再现输入分布的LBG的恒星质量相对较好,有一个轻微的倾向,低估的质量整体,但大量的分散。其次,在最佳拟合SFR和平均年龄的分布中存在较大的系统偏差,在这个意义上,单组分SED拟合方法低估了SFR,高估了年龄。我们将这些趋势归因于半解析模型预测的不同恒星形成历史,并假设在SED拟合过程中使用的星系模板中,以及当前一代恒星形成的光可以隐藏老一代恒星的事实。这些偏差,这是从SED拟合过程中产生的,可以显着影响宽带测光星系演化的推论。

英文摘要:

We investigate the biases and uncertainties in estimates of physical parameters of high-redshift Lyman break galaxies (LBGs), such as stellar mass, mean stellar population age, and star formation rate (SFR), obtained from broad-band photometry. By combining LCDM hierarchical structure formation theory, semi-analytic treatments of baryonic physics, and stellar population synthesis models, we construct model galaxy catalogs from which we select LBGs at redshifts z ~ 3.4, 4.0, and 5.0. The broad-band spectral energy distributions (SEDs) of these model LBGs are then analysed by fitting galaxy template SEDs derived from stellar population synthesis models with smoothly declining SFRs. We compare the statistical properties of LBGs' physical parameters -- such as stellar mass, SFR, and stellar population age -- as derived from the best-fit galaxy templates with the intrinsic values from the semi-analytic model. We find some trends in these distributions: first, when the redshift is known, SED-fitting methods reproduce the input distributions of LBGs' stellar masses relatively well, with a minor tendency to underestimate the masses overall, but with substantial scatter. Second, there are large systematic biases in the distributions of best-fit SFRs and mean ages, in the sense that single-component SED-fitting methods underestimate SFRs and overestimate ages. We attribute these trends to the different star formation histories predicted by the semi-analytic models and assumed in the galaxy templates used in SED-fitting procedure, and to the fact that light from the current generation of star-formation can hide older generations of stars. These biases, which arise from the SED-fitting procedure, can significantly affect inferences about galaxy evolution from broadband photometry.

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。

↑