Galaxy clustering in the VVV near-IR galaxy catalogue

Mario Soto, Mario A. Sgró, Laura D. Baravalle, M. Victoria Alonso, José Luis Nilo Castellón, Carlos Valotto, Antonela Taverna, Eugenia Díaz-Giménez, Carolina Villalón, Dante Minniti

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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 Vía Láctea (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.

Original languageEnglish
Pages (from-to)2747-2760
Number of pages14
JournalMonthly Notices of the Royal Astronomical Society
Issue number2
Publication statusPublished - 1 Jun 2022


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

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


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