4.7 Article

Spectral modeling of star-forming regions in the ultraviolet: Stellar metallicity diagnostics for high-redshift galaxies

期刊

ASTROPHYSICAL JOURNAL
卷 615, 期 1, 页码 98-117

出版社

UNIV CHICAGO PRESS
DOI: 10.1086/424031

关键词

cosmology : observations; galaxies : abundances; galaxies : evolution; galaxies : high-redshift; galaxies : starburst; stars : early-type

向作者/读者索取更多资源

The chemical composition of high-redshift galaxies is an important property that gives clues to their past history and future evolution and yet is difficult to measure with current techniques. In this paper we investigate new metallicity indicators based on the strengths of stellar photospheric features at rest-frame ultraviolet wavelengths. By combining the evolutionary spectral synthesis code Starburst99 with the output from the non-LTE model atmosphere code WM-basic, we have developed a code that can model the integrated ultraviolet stellar spectra of star-forming regions at metallicities between 1/20 and twice solar. We use our models to explore a number of spectral regions that are sensitive to metallicity and clean of other spectral features. The most promising metallicity indicator is an absorption feature between 1935 and 2020 Angstrom, which arises from the blending of numerous Fe III transitions. We compare our model spectra with observations of two well-studied high-redshift star-forming galaxies, MS 1512-cB58 (a Lyman break galaxy at z(em) = 2.7276) and Q1307-BM1163 (a UV-bright galaxy at z(em) = 1.411). The profiles of the photospheric absorption features observed in these galaxies are well reproduced by the models. In addition, the metallicities inferred from their equivalent widths are in good agreement with previous determinations based on interstellar absorption and nebular emission lines. Our new technique appears to be a promising alternative, or complement, to established methods, which have only a limited applicability at high redshifts.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据