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arXiv 1502.01832astro-ph.GA
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高红移射电类星体的神经网络选择和z~4的光度函数

Neural-network selection of high-redshift radio quasars, and the luminosity function at z~4

D. Tuccillo, J. I. Gonzalez-Serrano, C. R. Benn

摘要:

通过对第一次射电巡天S{1.4GHz} > 1 mJy的源与SDSS数据Release 7中r <20.2的类星体进行互相关,获得了87个红移范围为3.6<z<4.4的射电噪类星体样本。在这87个类星体中,有80个在以前的工作中被光谱分类(主要是SDSS),并形成了搜索其他此类源的训练集。我们将我们的选择应用于2,916个FIRST-DR 7对,并找到15个可能的候选者。其中7个被确认为高红移类星体,使总数达到87个。候选者是使用神经网络选择的,该网络产生97%的完整性(实际高z类星体的比例)和47%至60%的效率(候选者中高z类星体的比例)。我们用这个样本估计了$z\sim 4$射电强类星体的分箱光学光度函数,以及类星体总的LF和它的共动密度。我们的研究结果表明,在高z的无线电响亮的分数(RLF)是类似的,在低z和其他作者可能低估了分数在高z。最后,我们确定的光学光度函数的斜率,并获得与以前的研究一致的射电响亮类星体和整个人口的类星体的结果。光度函数随红移的演化多年来被解释为亮端斜率的平坦化,但最近被重新解释为高z类星体的破裂光度的强烈演化,我们的结果,对于射电大声人口,与此一致。

英文摘要:

We obtain a sample of 87 radio-loud QSOs in the redshift range 3.6<z<4.4 by cross-correlating sources in the FIRST radio survey S{1.4GHz} > 1 mJy with star-like objects having r <20.2 in SDSS Data Release 7. Of these 87 QSOs, 80 are spectroscopically classified in previous work (mainly SDSS), and form the training set for a search for additional such sources. We apply our selection to 2,916 FIRST-DR7 pairs and find 15 likely candidates. Seven of these are confirmed as high-redshift quasars, bringing the total to 87. The candidates were selected using a neural-network, which yields 97% completeness (fraction of actual high-z QSOs selected as such) and an efficiency (fraction of candidates which are high-z QSOs) in the range of 47 to 60%. We use this sample to estimate the binned optical luminosity function of radio-loud QSOs at $z\sim 4$, and also the LF of the total QSO population and its comoving density. Our results suggest that the radio-loud fraction (RLF) at high z is similar to that at low-z and that other authors may be underestimating the fraction at high-z. Finally, we determine the slope of the optical luminosity function and obtain results consistent with previous studies of radio-loud QSOs and of the whole population of QSOs. The evolution of the luminosity function with redshift was for many years interpreted as a flattening of the bright end slope, but has recently been re-interpreted as strong evolution of the break luminosity for high-z QSOs, and our results, for the radio-loud population, are consistent with this.

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