4.7 Article

Galaxy clustering in the VVV near-IR galaxy catalogue

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stac981

关键词

methods: data analysis; methods: statistical; catalogues; galaxies: groups: general

资金

  1. ESO Public Survey program [179.B-2002]
  2. National Aeronautics and Space Administration
  3. ANID BASAL project [FB210003]
  4. Southern Office of Aerospace Research and Development of the Air Force Office of the Scientific Research International Office of the United States (SOARD/AFOSR) [FA9550-18-1-0018, FA9550-22-1-0037]
  5. Consejo de Investigaciones Cient'ificas y Tecnicas (CONICET)
  6. Secretaria de Ciencia y Tecnica de la Universidad Nacional de Cordoba (SECyT)
  7. BASAL Center for Astrophysics and Associated Technologies (CATA) [AFB 170002]

向作者/读者索取更多资源

This study identifies galaxy systems in the Galactic plane using different clustering algorithms and explores the probability of their formation. The results show that 19 galaxy systems are most likely to be real overdensities. The study emphasizes the need for spectroscopic follow-up observations to confirm and characterize these structures further.
Mapping galaxies at low Galactic latitudes and determining their clustering status are fundamental steps in defining the large-scale structure in the nearby Universe. The VISTA Variables in the Via Lactea (VVV) near-IR galaxy catalogue (VVV NIRGC) allows us to explore this region in great detail. Our goal is to identify galaxy overdensities and characterize galaxy clustering in the Zone of Avoidance. We use different clustering algorithms to identify galaxy overdensities: the Voronoi tessellations, the minimum spanning tree, and the ordering points to identify the clustering structure. We studied the membership, isolation, compactness, and flux limits to identify compact groups of galaxies. Each method identified a variety of galaxy systems across the Galactic plane that are publicly available. We also explore the probability that these systems are formed by concordant galaxies using mock catalogues. 19 galaxy systems were identified in all of the four methods. They have the highest probability to be real overdensities. We stress the need for spectroscopic follow-up observations to confirm and characterize these new structures.

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