论文标题

斯隆数字天空调查数据版本16的类星体属性目录16

A Catalog of Quasar Properties from Sloan Digital Sky Survey Data Release 16

论文作者

Wu, Qiaoya, Shen, Yue

论文摘要

我们提出了一个从光谱法测量的Sloan Digital Sky Sumpery Data Release 16类类产品目录(DR16Q)中包含的750,414个类星体的连续性和发射线特性目录。这些类星体的红移范围($ 0.1 \ Lessim z \ Lessim 6 $)和发光度($ 44 \ lysSim \ log(l _ {\ rm bol}/{\ rm bol}/{\ rm erg \ rm erg \ \,s^{ - 1}}}}}} \ sim sim 48 $ 48 $ 48 $ 48 $ 48 $ luminities and s limisities res res ress res s liminities。该目录中还包括派生的物理量,例如单周期病毒黑洞质量和降压仪。我们使用测量的线峰和针对系统性速度的各种线的速度偏移进行了改进的DR16Q类星体的全身红移和现实的红移不确定性。原始DR16Q红移的大约1%,1.4%和11%与系统性红移相偏离$ |ΔV|> 1500 \,{\ rm km \,s^{ - 1}} $,$ |ΔV| \ in [1000,1500] $ |ΔV| \分别分别为[500,1000] \,{\ rm km \,s^{ - 1}}} $;大约$ 1900 $ DR16Q的红移在灾难性上是错误的($ |ΔV|> 10,000 \,{\ rm km \,s^{ - 1}} $)。我们证明了该数据产品在量化具有大统计样本的类星体物理性质之间的光谱多样性和相关性方面的实用性。

We present a catalog of continuum and emission line properties for 750,414 broad-line quasars included in the Sloan Digital Sky Survey Data Release 16 quasar catalog (DR16Q), measured from optical spectroscopy. These quasars cover broad ranges in redshift ($0.1\lesssim z\lesssim 6$) and luminosity ($44\lesssim \log (L_{\rm bol}/{\rm erg\,s^{-1}})\lesssim 48$), and probe lower luminosities than an earlier compilation of SDSS DR7 quasars. Derived physical quantities such as single-epoch virial black hole masses and bolometric luminosities are also included in this catalog. We present improved systemic redshifts and realistic redshift uncertainties for DR16Q quasars using the measured line peaks and correcting for velocity shifts of various lines with respect to the systemic velocity. About 1%, 1.4%, and 11% of the original DR16Q redshifts deviate from the systemic redshifts by $|ΔV|>1500\,{\rm km\,s^{-1}}$, $|ΔV|\in [1000,1500]\,{\rm km\,s^{-1}}$, and $|ΔV|\in [500,1000]\,{\rm km\,s^{-1}}$, respectively; about $1900$ DR16Q redshifts were catastrophically wrong ($|ΔV|>10,000\,{\rm km\,s^{-1}}$). We demonstrate the utility of this data product in quantifying the spectral diversity and correlations among physical properties of quasars with large statistical samples.

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