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Connecting black holes and galaxies in faint radio populations at cosmic noon

机译:将黑洞和星系连接在宇宙中午的微弱收音机里

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We leverage new ultra-deep, high resolution, multi-frequency radio imaging at 6 and 3 GHz with the unique datasets available in the GOODS-S/HUDF region in order to assess the AGN fraction in a faint radio-selected sample. For AGN identification, we adopt a multi-wavelength approach, combining X-ray and (mid-)infrared (IR) selections with radio identification such as X-ray to radio excess, flat radio spectral slopes, and the radio-IR correlation. We identify AGN in 43% of our radio sample, yielding an AGN source density of ~ 1 arcmin~(-2). This AGN fraction is likely underestimated, as 1) our shallower 3 GHz data is biased against flat radio spectrum sources and 2) all of our selections may be biased against the most heavily obscured AGN. The James Webb Space Telescope's Mid-Infrared Instrument (MIRI) will address the latter issue and we briefly outline our Cycle 1 Guaranteed Time Observation (GTO) program to search for heavily obscured AGN.
机译:我们利用了新的超深,高分辨率,多频无线电成像在6和3 GHz,在商品-S / HUDF区域中提供的独特数据集,以便在微弱的无线电选择样品中评估AGN分数。 对于AGN识别,我们采用多波长方法,将X射线和(中间)红外(IR)选择与诸如X射线的无线电识别和无线电过量,扁平的无线电频谱斜率和无线电IR相关性。 我们在43%的无线电样品中识别AGN,产生〜1 Accmin〜(-2)的Agn源密度。 这一AGN分数可能低估,如1)我们越浅的3 GHz数据偏向于扁平的无线电谱来源,2)我们所有的选择都可能偏向最严重的agn。 James Webb Space Telescope的中红外仪器(Miri)将解决后一种问题,我们简要概述了我们的周期1保证时间观察(GTO)计划,以寻找严重遮挡的AGN。

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