Testing redMaPPer centring probabilities using galaxy clustering and galaxy–galaxy lensing

Testing redMaPPer centring probabilities using galaxy clustering and galaxy–galaxy lensing

Here, galaxy cluster centring is a key issue for precision cosmology studies using galaxy surveys. Mis-identification of central galaxies causes systematics in various studies such as cluster lensing, satellite kinematics, and galaxy clustering. The red-sequence Matched-filter Probabilistic Percolat...

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Veröffentlicht in:Monthly notices of the Royal Astronomical Society 2018-10, Vol.480 (2), p.2689-2697
Hauptverfasser: Hikage, Chiaki, Mandelbaum, Rachel, Leauthaud, Alexie, Rozo, Eduardo, Rykoff, Eli S
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ASTRONOMY AND ASTROPHYSICS
cosmology: observations
galaxies: clusters: general
galaxies: evolution
galaxies: haloes
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creator Hikage, Chiaki
Mandelbaum, Rachel
Leauthaud, Alexie
Rozo, Eduardo
Rykoff, Eli S
description Here, galaxy cluster centring is a key issue for precision cosmology studies using galaxy surveys. Mis-identification of central galaxies causes systematics in various studies such as cluster lensing, satellite kinematics, and galaxy clustering. The red-sequence Matched-filter Probabilistic Percolation (redMaPPer) estimates the probability that each member galaxy is central from photometric information rather than specifying one central galaxy. The redMaPPer estimates can be used for calibrating the off-centring effect, however, the centring algorithm has not previously been well-tested. We test the centring probabilities of redMaPPer cluster catalogue 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.
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subjects ASTRONOMY AND ASTROPHYSICS
cosmology: observations
galaxies: clusters: general
galaxies: evolution
galaxies: haloes
title Testing redMaPPer centring probabilities using galaxy clustering and galaxy–galaxy lensing
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