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On the measurements of assembly bias and splashback radius using optically selected galaxy clusters

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arxiv 1905.07557 v3 pith:KS2F7Y5H submitted 2019-05-18 astro-ph.CO

classification astro-ph.CO
keywords biasassemblygalaxyclusterssignaldetectionopticalradius
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We critically examine the methodology behind the claimed observational detection of halo assembly bias using optically selected galaxy clusters by Miyatake et al. (2016) and More et al. (2016). We mimic the optical cluster detection algorithm and apply it to two different mock catalogs generated from the Millennium simulation galaxy catalog, one in which halo assembly bias signal is present, while the other in which the assembly bias signal has been expressly erased. We split each of these cluster samples into two using the average cluster-centric distance of the member galaxies to measure the difference in the clustering strength of the subsamples with respect to each other. We observe that the subsamples split by cluster-centric radii show differences in clustering strength, even in the catalog where the true assembly bias signal was erased. We show that this is a result of contamination of the member galaxy sample from interlopers along the line-of-sight. This undoubtedly shows that the particular methodology adopted in the previous studies cannot be used to claim a detection of the assembly bias signal. We figure out the tell-tale signatures of such contamination, and show that the observational data also shows similar signatures. Furthermore, we also show that projection effects in optical galaxy clusters can bias the inference of the 3-dimensional edges of galaxy clusters (splashback radius), so appropriate care should be taken while interpreting the splashback radius of optical clusters.

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  1. Measuring satellite galaxy subhalo masses in redMaPPer clusters with UNIONS weak lensing data

    astro-ph.CO 2026-07 conditional novelty 4.0 of 10

    A large UNIONS weak-lensing sample finds an increasing subhalo-to-stellar-mass ratio with cluster-centric radius in redMaPPer clusters, qualitatively confirming tidal stripping of satellite dark matter halos.

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