Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/8464
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dc.contributor.authorFu, Yuming-
dc.contributor.authorWu, Xue-Bing-
dc.contributor.authorLi, Yifan-
dc.contributor.authorPang, Yuxuan-
dc.contributor.authorJoshi, Ravi-
dc.contributor.authorZhang, Shuo-
dc.contributor.authorWang, Qiyue-
dc.contributor.authorYang, Jing-
dc.contributor.authorNg, FanLam-
dc.contributor.authorLiu, Xingjian-
dc.contributor.authorQiu, Yu-
dc.contributor.authorZhu, Rui-
dc.contributor.authorWang, Huimei-
dc.contributor.authorWolf, Christian-
dc.contributor.authorZhang, Yanxia-
dc.contributor.authorHuo, Zhi-Ying-
dc.contributor.authorAi, Y. L-
dc.contributor.authorMa, Qinchun-
dc.contributor.authorFeng, Xiaotong-
dc.contributor.authorBouwens, R. J-
dc.date.accessioned2024-05-29T06:37:37Z-
dc.date.available2024-05-29T06:37:37Z-
dc.date.issued2024-04-
dc.identifier.citationThe Astrophysical Journal Supplement Series, Vol. 271, No. 2, 54en_US
dc.identifier.issn0067-0049-
dc.identifier.urihttp://hdl.handle.net/2248/8464-
dc.descriptionOpen Access.en_US
dc.descriptionOriginal content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.-
dc.description.abstractA complete and pure sample of quasars with accurate redshifts is crucial for quasar studies and cosmology. In this paper, we present CatNorth, an improved Gaia Data Release 3 (Gaia DR3) quasar candidate catalog with more than 1.5 million sources in the 3π sky built with data from Gaia, Pan-STARRS1, and CatWISE2020. The XGBoost algorithm is used to reclassify the original Gaia DR3 quasar candidates as stars, galaxies, and quasars. To construct training/validation data sets for the classification, we carefully built two different master stellar samples in addition to the spectroscopic galaxy and quasar samples. An ensemble classification model is obtained by averaging two XGBoost classifiers trained with different master stellar samples. Using a probability threshold of pQSO_mean > 0.95 in our ensemble classification model and an additional cut on the logarithmic probability density of zero proper motion, we retrieved 1,545,514 reliable quasar candidates from the parent Gaia DR3 quasar candidate catalog. We provide photometric redshifts for all candidates with an ensemble regression model. For a subset of 89,100 candidates, accurate spectroscopic redshifts are estimated with the convolutional neural network from the Gaia BP/RP spectra. The CatNorth catalog has a high purity of ∼90%, while maintaining high completeness, which is an ideal sample to understand the quasar population and its statistical properties. The CatNorth catalog is used as the main source of input catalog for the Large Sky Area Multi-Object Fiber Spectroscopic Telescope phase III quasar survey, which is expected to build a highly complete sample of bright quasars with i < 19.5.en_US
dc.language.isoenen_US
dc.publisherAmerican Astronomical Societyen_US
dc.relation.urihttps://doi.org/10.3847/1538-4365/ad2ae6-
dc.rights© 2024. The Author(s).-
dc.subjectActive galactic nucleien_US
dc.subjectAstrostatistics techniquesen_US
dc.subjectCatalogsen_US
dc.subjectQuasarsen_US
dc.subjectRedshift surveysen_US
dc.titleCatNorth: An Improved Gaia DR3 Quasar Candidate Catalog with Pan-STARRS1 and CatWISEen_US
dc.typeArticleen_US
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