论文标题

在洛克曼孔字段中,对1.4 GHz源数计数和光度函数的新约束

New constraints on the 1.4 GHz source number counts and luminosity functions in the Lockman Hole field

论文作者

Bonato, Matteo, Prandoni, Isabella, De Zotti, Gianfranco, Brienza, Marisa, Morganti, Raffaella, Vaccari, Mattia

论文摘要

我们对1173来源的研究比$ s_ {1.4 \,\ rm ghz} = 120 \,μ$ jy在$ \ simeq 1.4 \,\ hbox {deg}^{2} $中检测到。利用本领域可用的$ \ sim $ 79%样品中可用的多波段信息,来源已被分类为无线电(RL)主动的银河系核(AGNS),星形形成星系(SFGS)和无线电Quiet(RQ)AGN,使用各种诊断。利用IRAC频段1或频带2和源红移之间观察到的紧密抗相关性,我们可以为缺少光谱测量值或可靠的光度估计值的177个来源分配红移。使用蒙特卡洛方法来考虑平均关系周围的传播。在每个种群的几个红移处,派生的差异数计数和光度函数与模型保持良好的一致性,并且使用来自不同调查的数据和应用不同方法进行的数据进行了较早的估计。我们的结果证实,低于$ \ sim300 \,μ$ $ jy sfgs $+$ $ rq agns超过RL AGN,以更明亮的通量密度占主导地位。我们还确认了RQ AGN和SFG的类似演变的早期迹象。最后,我们讨论了源的角度相关功能,并突出了其对分类标准的敏感性。

We present a study of the 1173 sources brighter than $S_{1.4\,\rm GHz}= 120\,μ$Jy detected over an area of $\simeq 1.4\,\hbox{deg}^{2}$ in the Lockman Hole field. Exploiting the multi-band information available in this field for $\sim$79% of the sample, sources have been classified into radio loud (RL) active galactic nuclei (AGNs), star forming galaxies (SFGs) and radio quiet (RQ) AGNs, using a variety of diagnostics available in the literature. Exploiting the observed tight anti-correlations between IRAC band 1 or band 2 and the source redshift we could assign a redshift to 177 sources missing a spectroscopic measurement or a reliable photometric estimate. A Monte Carlo approach was used to take into account the spread around the mean relation. The derived differential number counts and luminosity functions at several redshifts of each population show a good consistency with models and with earlier estimates made using data from different surveys and applying different approaches. Our results confirm that below $\sim300\,μ$Jy SFGs$+$RQ AGNs overtake RL AGNs that dominate at brighter flux densities. We also confirm earlier indications of a similar evolution of RQ AGNs and SFGs. Finally, we discuss the angular correlation function of our sources and highlight its sensitivity to the criteria used for the classification.

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