Speaker
Description
Galaxy clusters are the largest gravitationally bound structures, residing at the nodes of the cosmic web. They provide key insights into galaxy formation and constrain the growth of structure and underlying cosmology. Across all areas of cluster science, robust cluster finding is fundamental, yet current methods, based on optical, X-ray, and Sunyaev–Zel'dovich (SZ) observations, each exhibit distinct selection effects.
To explore a complementary selection that offers a distinct view, I will present a new cluster finding method based on the reconstructed full-sky 100 μm infrared background map (Chiang 2023). We apply a matched filter to identify overdensities, yielding 18,000 cluster candidates over 24,000 deg$^2$. Cross-matching with MCXC and other catalogs shows that hundreds of candidates correspond to known nearby clusters. Completeness estimates and clustering redshift analysis further support that these detections trace real structures at z ~ 0.05.
With its near full-sky coverage, this new cluster catalog enables large-sample studies for cosmology and the identification of some of the most massive clusters in the observable universe. The far-infrared selection also provides a unique handle on dust in nearby clusters. Finally, although the present analysis primarily probes nearby clusters, the reconstruction and filtering framework is general and can be extended to cluster searches over a broad range of redshifts.
| Participate the oral/poster presentation award competition | Yes |
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