MIGHTEE: Multi-wavelength counterparts in the COSMOS field

MIGHTEE: Multi-wavelength counterparts in the COSMOS field
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MIGHTEE:COSMOS 领域的多波长对应物

DOI:
10.1093/mnras/stad3307
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发表时间:
2024
影响因子:
4.8
通讯作者:
Whittam I
Whittam I
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Whittam I

文献摘要

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本文将MeerKAT国际GHz分层河外探测(MIGHTEE)巡天的早期科学射电连续体数据与光学和近红外数据相结合,发布了交叉匹配的星表。本研究使用的射电数据覆盖了COSMOS场的0.86°2,热噪声达到1.7μJy beam−1,包含6102个射电分量。我们对射电样品进行目视检查,并将其与来自Hyper prime- cam (HSC)和UltraVISTA巡天的光学和近红外数据进行交叉匹配。这允许在toz≈5范围内探测活跃星系核和星系恒星形成群的性质。此外,我们使用似然比方法自动交叉匹配无线电和光学目录,并将其与视觉交叉匹配的目录进行比较。我们发现94%的射电源目录可以用这种方法匹配,可靠性为95%。我们继续表明,视觉分类仍然是复杂和扩展射电源交叉匹配的重要过程。在不久的将来,MIGHTEE的调查范围将扩大到约20°2;因此,自动识别和视觉识别的结合将是至关重要的。我们将SFG和AGN的红移分布与SKADS和T-RECS模拟进行了比较,发现AGN比预测的atz ~ 1要多。
In this paper, we combine the Early Science radio continuum data from the MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) Survey, with optical and near-infrared data and release the cross-matched catalogues. The radio data used in this work covers 0.86 deg2of the COSMOS field, reaches a thermal noise of 1.7μJy beam−1and contains 6102 radio components. We visually inspect and cross-match the radio sample with optical and near-infrared data from the Hyper Suprime-Cam (HSC) and UltraVISTA surveys. This allows the properties of active galactic nuclei and star-forming populations of galaxies to be probed out toz≈ 5. Additionally, we use the likelihood ratio method to automatically cross-match the radio and optical catalogues and compare this to the visually cross-matched catalogue. We find that 94 per cent of our radio source catalogue can be matched with this method, with a reliability of 95 per cent. We proceed to show that visual classification will still remain an essential process for the cross-matching of complex and extended radio sources. In the near future, the MIGHTEE survey will be expanded in area to cover a total of ∼20 deg2; thus the combination of automated and visual identification will be critical. We compare the redshift distribution of SFG and AGN to the SKADS and T-RECS simulations and find more AGN than predicted atz∼ 1.