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arXiv 2309.02491astro-ph.GA
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BOSS类星体C IV示踪的外流

BOSS Quasar Outflows Traced by C IV

Jarred Gillette, Fred Hamann

AI总结:

本研究利用BOSS样本中39,249个类星体,基于Mg II重测红移,发现高爱丁顿比率和软远紫外连续谱是驱动C IV快速外流的主要因素,并强调多维参数空间的重要性。

摘要:

我们利用一个包含39,249个类星体的样本(中值红移$\langle z \rangle \approx$ 2.17)研究了驱动快速类星体外流的可能因素。本研究的独特之处在于,类星体红移是基于Mg II发射线重新测量的,这使得我们能够在保持统计显著性和一致性的同时,探索前所未有的外流速度(>6000 km/s)。我们为1178个速度>2500 km/s的类星体测量了可靠的C IV蓝移。其中,255个(13个)类星体的蓝移超过4000 km/s(6000 km/s),最高C IV速度约为7000 km/s。我们观察到若干相关性,总体上,具有更高C IV蓝移的类星体往往具有更宽、更弱的C IV发射轮廓,弱的He II发射,更大的爱丁顿比率,以及在静止系紫外到近红外范围内更蓝的紫外连续谱斜率。分析揭示了导致更快外流的两个主要因素:更高的爱丁顿比率和更软的远紫外连续谱(h$\nu$ >24.6 eV)。我们发现了支持性证据,表明辐射线驱动可能产生极端外流速度,并受到上述相关性所暗示的多种因素的影响。这一证据强调了在未来研究中,在分析大的C IV蓝移以确定外流根本原因时,考虑多维参数空间的重要性。

英文摘要:

We investigate possible factors that drive fast quasar outflows using a sample of 39,249 quasars at median redshift $\langle z \rangle \approx$ 2.17. Unique to this study, the quasar redshifts are re-measured based on the Mg II emission line, allowing for exploration of unprecedented outflow velocities (>6000 km/s) while maintaining statistical significance and uniformity. We measure reliable C IV blueshifts for 1178 quasars with velocities >2500 km/s. From those, 255(13) quasars have blueshifts above 4000(6000) km/s, with the highest C IV velocity $\approx$ 7000 km/s. Several correlations are observed, where higher C IV blueshifts in general are in quasars with broader, weaker C IV emission profiles, weak He II emission, larger Eddington ratios, and bluer UV continuum slope across the rest-frame UV to Near-IR. Analysis reveals two primary factors contributing to faster outflows: higher Eddington ratios, and softer far-UV continuum (h$ν$ >24.6 eV). We find supporting evidence that radiative line-driving may generate extreme outflow velocities, influenced by multiple factors as suggested by the aforementioned correlations. This evidence highlights the importance of considering a multi-dimensional parameter space in future studies when analyzing large C IV blueshifts to determine the fundamental causes of outflows.

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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