Detection of Dark Matter Filament Signals Through Stacking GMBCG Galaxy Cluster Pairs

Mathematics – Probability

Scientific paper

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Scientific paper

One of the prominent features of the large-scale structure is the formation of galaxy clusters at the intersections of dark matter filaments. Given more than 55,000 galaxy clusters in the GMBCG catalog, we devise an algorithm that select cluster pairs with high probability of possessing filaments based on constraints of redshift and the number of closest neighbors. The pair-finder algorithm yields more than 16,000 cluster pairs with intercluster separations up to 50 Mpc. To enhance the filament signals, we stack the cluster pairs and their filament galaxies based on various criteria such as separation, redshift, and cluster richness. Significance maps of these stacks are constructed by using bootstrapping techniques and comparing the stacked signals with respect to the background galaxy density. Preliminary results of the stacking method show that intercluster filaments have overdensity at ˜2σs above the mean background density. The presence of filament signals is also verified by the cross-stacking method. Correlations between intercluster separation, or cluster richness, and the strength of filament signals are not obvious based on the constructed significance maps. Future analyses are suggested which might enhance the filament contrast with the background.

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