Poster Presentation

Cluster Detection from the 100 μm Infrared Background with a Matched Filter Approach

Author(s): Yu-Ren Lin (ASIAA), Yi-Kuan Chiang (ASIAA)

Presenter: Yu-Ren Lin (ASIAA/NTU)

In this talk, I will present our first results of a far-infrared-based galaxy cluster catalog constructed with an optimal filtering technique. The catalog is extracted from the reconstructed 100 μm cosmic infrared background (CIB) field of Chiang 2023. The map includes the large-scale structure signal, and we have identified many local massive clusters in this field. We apply the matched filter technique to further detect overdensities. The method is designed to match the signal template, suppress the highly variable background and optimize the signal-to-noise ratio. The resulting catalog covers over 24,000 deg^2 of sky, with a surface number density of 0.8 sources/deg^2 for sources with SNR>5. We also compare our detections with other external catalogs for validation. This catalog can provide a statistical probe besides optical, X-ray, and Sunyaev-Zel'dovich-selected clusters to study cosmology. It also paves a way for understanding galaxy evolution, dust content in clusters and other related topics.