论文标题
基于深度学习和贝叶斯信息标准的新发现的$ z \ sim5 $ quasars
Newly discovered $z\sim5$ quasars based on deep learning and Bayesian information criterion
论文作者
论文摘要
我们报告了$ m_ {1450} \ gtrsim -25.0 $ mag at $ z \ sim5 $和其中一个类星体的超级大孔质量测量的四个类星体的发现。通过深度学习和贝叶斯信息标准，它们被选为有前途的高红色类星体候选者，预计它们有效地将类星体与晚期型恒星和高红色速度星系区分开。通过双光谱仪在Palomar 200英寸Hale望远镜上观察到候选人。它们显示出明显的$α$断裂，约为7000-8000Å，这表明它们是$ 4.7 <z <5.6 $的类星体。对于HSC J233107-001014，我们使用其C \ romannum {4} $λ1549$发射线来测量其超大质量黑洞（SMBH）的质量。发现类星体的SMBH质量和Eddington比率分别为$ \ sim 10^8 m _ {\ odot} $和$ \ sim 0.6 $。这表明该Quasar可能在Eddington限制附近具有快速增长的SMBH（$ l _ {\ rm bol} <10^{46} $ erg s $^{ - 1} $）。我们的100 $ \％$ quasar识别率支持我们深度学习和贝叶斯信息标准选择方法的高效率，这些方法可以应用于将来的调查以增加高红移类星体样本。
We report the discovery of four quasars with $M_{1450} \gtrsim -25.0$ mag at $z\sim5$ and supermassive black hole mass measurement for one of the quasars. They were selected as promising high-redshift quasar candidates via deep learning and Bayesian information criterion, which are expected to be effective in discriminating quasars from the late-type stars and high-redshift galaxies. The candidates were observed by the Double Spectrograph on the Palomar 200-inch Hale Telescope. They show clear Ly$α$ breaks at about 7000-8000 Å, indicating they are quasars at $4.7 < z < 5.6$. For HSC J233107-001014, we measure the mass of its supermassive black hole (SMBH) using its C\Romannum{4}$λ1549$ emission line. The SMBH mass and Eddington ratio of the quasar are found to be $\sim 10^8 M_{\odot}$ and $\sim 0.6$, respectively. This suggests that this quasar possibly harbors a fast growing SMBH near the Eddington limit despite its faintness ($L_{\rm Bol} < 10^{46}$ erg s$^{-1}$). Our 100 $\%$ quasar identification rate supports high efficiency of our deep learning and Bayesian information criterion selection method, which can be applied to future surveys to increase high-redshift quasar sample.
