New quasars behind the Magellanic Clouds

Author:

Ivanov Valentin D.ORCID,Cioni Maria-Rosa L.ORCID,Dennefeld MichelORCID,de Grijs RichardORCID,Craig Jessica E. M.ORCID,van Loon Jacco Th.ORCID,Pennock Clara M.ORCID,Maitra Chandreyee,Haberl FrankORCID

Abstract

Context. Quasi-stellar objects (QSOs) are a basis for an absolute reference system for astrometric studies. A system like this at the far side of nearby galaxies is required to facilitate measuring of the proper motions of these galaxies. However, the foreground contamination from the galaxies themselves is a problem for the QSO identification. Aims. We search for new QSOs behind the two Magellanic Clouds, the Magellanic Bridge, and the Magellanic Stream. Methods. We identify QSO candidates with a combination of near–infrared colors and variability criteria from the public ESO Visual and Infrared Survey Telescope for Astronomy (VISTA) Magellanic Clouds (VMC) survey. We confirm their nature from broad emission lines with low-resolution optical spectroscopy. Results. We confirmed the QSO nature of 136 objects. They are distributed as follows: 12 behind the Large Magellanic Cloud, 37 behind the Small Magellanic Cloud, 63 behind the Bridge, and 24 behind the Stream. The QSOs span a redshift range from z~0.1 to z~2.9. A comparison of our quasar selection with the Quaia quasar catalog, based on Gaia low-resolution spectra, yields a selection and confirmation success rate of 6–19%, depending on whether the quality of the photometry, the magnitude ranges, and the colors are considered. Our candidate list is rather incomplete, but the objects in it are likely to be confirmed as quasars with a probability of ~90%. Finally, we report a list of 3609 objects in the entire VMC survey that match our color and variability selection criteria; only 1249 of them have Gaia counterparts. Conclusions. Our combined infrared color and variability criteria for the QSO selection prove to be efficient: ~90% of the observed candidates are bona fide QSOs and allow us to generate a list of new high-probability quasar candidates.

Publisher

EDP Sciences

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3