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arXiv 1608.07095astro-ph.GA
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重子振荡谱学巡天类星体谱中的窄C IV吸收二重态

Narrow C IV absorption doublets on quasar spectra of the Baryon Oscillation Spectroscopic Survey

Chen Zhi-fu, Gu Qiu-sheng, Zhou Luwenjia, Chen Yanmei

摘要:

本文扩展了我们在重子振荡谱学巡天(BOSS)类星体谱上用\zabs $\ll$ \zem系统地观测\CIVab\ NALS的工作,收集了\CIV \ NALS和\zabs $\approx$ \zem \从\CIVwave \发射线的蓝翼到红翼。连同论文I和论文II,我们总共收集了41,479个\CIV \NAL,其中$1.4544\le$ \zabs $\le4.9224$位于\lya \的测量光谱区域向红,直到\CIVwave \发射线的红翼。我们发现,较强的\CIV \NAL倾向于更饱和的吸收,并且与干预系统(\zabs $\ll$ \zem)相比,相关系统(\zabs $\approx$ \zem)似乎具有更大的吸收强度。吸收体的红移密度演化行为(每条红移路径上吸收体的数量)与宇宙恒星形成的历史相似。当与\MgII \吸收体的类星体帧速度($β$)分布相比时,\CIV \吸收体的$β$分布在$β\approx0$处更宽,显示出更长的延伸尾部,并且对环境扰动表现出更大的色散。此外,对于相关的\CIV \吸收体,我们发现,低光度类星体似乎表现出更小的$β$和更强的反射时相比,高光度类星体。

英文摘要:

In this paper, we extend our works of Papers I and II, which are assigned to systematically survey \CIVab\ narrow absorption lines (NALs) with \zabs$\ll$\zem\ on quasar spectra of the Baryon Oscillation Spectroscopic Survey (BOSS), to collect \CIV\ NALs with \zabs$\approx$\zem\ from blue to red wings of \CIVwave\ emission lines. Together with Papers I and II, we have collected a total number of 41,479 \CIV\ NALs with $1.4544\le$\zabs$\le4.9224$ in surveyed spectral region redward of \lya\ until red wing of \CIVwave\ emission line. We find that the stronger \CIV\ NALs tend to be the more saturated absorptions, and associated systems (\zabs$\approx$\zem) seem to have larger absorption strengths when compared to intervening ones (\zabs$\ll$\zem). The redshift density evolution behavior of absorbers (the number of absorbers per redshift path) is similar to the history of the cosmic star formation. When compared to the quasar-frame velocity ($β$) distribution of \MgII\ absorbers, the $β$ distribution of \CIV\ absorbers is broader at $β\approx0$, shows longer extended tail, and exhibits a larger dispersion for environmental absorptions. In addition, for associated \CIV\ absorbers, we find that low-luminosity quasars seem to exhibit smaller $β$ and stronger absorptions when compared to high-luminosity quasars.

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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