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26 April 2024 |
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Testing redMaPPer Centering Probabilities using Galaxy Clustering and Galaxy-Galaxy Lensing | | Chiaki Hikage
; Rachel Mandelbaum
; Alexie Leauthaud
; Eduardo Rozo
; Eli S. Rykoff
; | | Date: |
28 Feb 2017 | | Abstract: | Galaxy cluster centering is one of the key issues for precision cosmology
studies using galaxy surveys. The red-sequence Matched-filter Probabilistic
Percolation (redMaPPer) estimates the centering probability of member galaxies
from photometric information; however, the centering algorithm has not
previously been well-tested. We test the centering probabilities of redMaPPer
cluster catalog using the projected cross correlation between redMaPPer
clusters with photometric red galaxies and galaxy-galaxy lensing. We focus on
the subsample of redMaPPer clusters in which the redMaPPer central galaxies
(RMCGs) are not the brightest member galaxies (BMEM) and both of them have
spectroscopic redshift. This subsample represents nearly 10% of the whole
cluster sample. We also make a "High Pcen" sample where the central probability
of RMCGs is larger than 99% to be used as a reference sample of central
galaxies. We find a clear difference in the cross-correlation measurements
between RMCGs and BMEMs, and the estimated centering probability is 74$pm$10%
for RMCGs and 13$pm$4% for BMEMs in the sample. These values are in agreement
with the central probability values reported by redMaPPer (75% for RMCG and 10%
for BMEMs) within 1$sigma$. Our analysis provides a strong consistency test of
the redMaPPer centering probabilities. Our results suggest that redMaPPer
centering probabilities are reliably estimated, and that the brightest galaxy
in the cluster is not always the central galaxy. | | Source: | arXiv, 1702.8614 | | Services: | Forum | Review | PDF | Favorites | |
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