Many catalogues of isolated compact groups of galaxies (CGs) have been extracted using Hickson's criteria to identify isolated, dense systems of galaxies, with at least three or four galaxies concordant in magnitude and redshift. But is not clear to what extent the catalogues of CGs are complete and reliable, relative to 3D truly isolated, dense groups. Using five different semi-analytical models of galaxy formation (SAMs), we identify isolated dense groups in 3D real space, containing at least three galaxies. We then build mock redshift space galaxy catalogues and run a Hickson-like CG finder. We find that the Hickson-like algorithm in redshift space is poor at recovering 3D CGs of at least 3 galaxies, with a purity of $\sim 10\%$ and a completeness of $\sim 22\%$. Among the $\sim 90\%$ of spurious systems, typically $60\%$ are dense structures that failed the 3D isolation criteria, while the remaining $40\%$ are chance alignments of galaxies along the line of sight, nearly all of which are within regular groups, with some variation with the SAM used for the analysis. In other words, while only $10\%$ of CGs are isolated dense groups, as intended, half are dense structures embedded within larger groups, and one-third are chance alignments within larger groups. The low completeness of the extracted CG sample is mainly due to the flux limits of the selection criteria. Our results suggest that a new observational algorithm to identify compact groups in redshift space is required to obtain dense isolated galaxy systems.
Wide Area VISTA Extra-galactic Survey (WAVES): Unsupervised star-galaxy separation on the WAVES-Wide photometric input catalogue using UMAP and ${\rm{\scriptsize HDBSCAN}}$
CURLING -- III. Identifying Candidates of Wide-separation Gravitationally Lensed Quasars from the CatNorth Catalogue
National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);School of Astronomy and Space Science, University of Chinese Academy of Sciences(中国科学院大学天文与空间科学学院);Department of Physics, Nanchang University(南昌大学物理学院);Center for Relativistic Astrophysics and High Energy Physics, Nanchang University(南昌大学相对论天体物理与高能物理中心);Purple Mountain Observatory, Chinese Academy of Sciences(中国科学院紫金山天文台);Leiden Observatory, Leiden University(莱顿大学莱顿天文台)
Performance analysis of extragalactic classifications in Gaia Data Release 4
Max-Planck Institute für Astronomy(马克斯·普朗克天文学研究所);Dpto. de Matemática Aplicada y Ciencias de la Computación, Univ. de Cantabria(坎塔布里亚大学应用数学与计算机科学系);Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Laboratoire Lagrange(蔚蓝海岸大学、蔚蓝海岸天文台、法国国家科学研究中心、拉格朗日实验室)
Halo Occupation Distribution estimation performance for LSST data
Instituto de Astronomía y Física del Espacio, CONICET-UBA(空间物理与天文学研究所,CONICET-UBA);Instituto de Astronomía Teórica y Experimental - Observatorio Astronómico de Córdoba (IATE, UNC–CONICET)(理论与实验天文学研究所 - 科尔多瓦天文台 (IATE, UNC–CONICET));Observatorio Astronómico de Córdoba, Universidad Nacional de Córdoba(科尔多瓦天文台,科尔多瓦国立大学);Facultad de Matemática, Astronomía y Física, Universidad Nacional de Córdoba (FaMAF–UNC)(数学、天文学与物理学院,科尔多瓦国立大学 (FaMAF–UNC));Instituto de Astronomia, Universidad Nacional Autonoma de Mexico(天文学研究所,墨西哥国立自治大学);Center for Theoretical Physics, Polish Academy of Sciences(波兰科学院理论物理中心);Universidad Andres Bello, Facultad de Ciencias Exactas, Departamento de Fisica y Astronomia, Instituto de Astrofisica(安德烈斯贝略大学,理学院,物理与天文学系,天体物理研究所)