Milla Castro,Fernanda Paz

Chile Universidad de La Serena

Galaxy Clusters candidates in the Zone of Avoidance

Here we present our results about 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.

PROGRAM