TY - JOUR
T1 - Galaxy clustering in the VVV near-IR galaxy catalogue
AU - Soto, Mario
AU - Sgró, Mario A.
AU - Baravalle, Laura D.
AU - Alonso, M. Victoria
AU - Nilo Castellón, José Luis
AU - Valotto, Carlos
AU - Taverna, Antonela
AU - Díaz-Giménez, Eugenia
AU - Villalón, Carolina
AU - Minniti, Dante
N1 - Publisher Copyright:
© 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - 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.
AB - 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.
KW - catalogues
KW - galaxies: groups: general
KW - methods: data analysis
KW - methods: statistical
UR - http://www.scopus.com/inward/record.url?scp=85132999237&partnerID=8YFLogxK
U2 - 10.1093/mnras/stac981
DO - 10.1093/mnras/stac981
M3 - Article
AN - SCOPUS:85132999237
SN - 0035-8711
VL - 513
SP - 2747
EP - 2760
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 2
ER -