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

Hikage, Chiaki; Mandelbaum, Rachel; Leauthaud, Alexie; Rozo, Eduardo; Rykoff, Eli S.

doi:10.1093/mnras/sty2013

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

Journal Article · Fri Jul 27 00:00:00 EDT 2018 · Monthly Notices of the Royal Astronomical Society

DOI:https://doi.org/10.1093/mnras/sty2013· OSTI ID:1490630

Hikage, Chiaki ^[1];

^[2]; Leauthaud, Alexie ^[3]; Rozo, Eduardo ^[4]; Rykoff, Eli S. ^[5]

Univ. of Tokyo, Chiba (Japan)
Carnegie Mellon Univ., Pittsburgh, PA (United States)
Univ. of California Santa Cruz, Santa Cruz, CA (United States)
Univ. of Arizona, Tucson, AZ (United States)
SLAC National Accelerator Lab., Menlo Park, CA (United States)

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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Research Organization:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-76SF00515; 16K17684

OSTI ID:: 1490630

Journal Information:: Monthly Notices of the Royal Astronomical Society, Vol. 480, Issue 2; ISSN 0035-8711

Publisher:: Royal Astronomical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 13 works

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The Structure of Cold Dark Matter Halos Navarro, Julio F.; Frenk, Carlos S.; White, Simon D. M. arXiv https://doi.org/10.48550/arxiv.astro-ph/9508025	text	January 1995
Gravitational Lensing by NFW Halos Wright, Candace Oaxaca; Brainerd, Tereasa G. arXiv https://doi.org/10.48550/arxiv.astro-ph/9908213	preprint	January 1999

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Dark Energy Surveyed Year 1 results: calibration of cluster mis-centring in the redMaPPer catalogues Zhang, Y.; Jeltema, T.; Hollowood, D. L. Monthly Notices of the Royal Astronomical Society, Vol. 487, Issue 2 https://doi.org/10.1093/mnras/stz1361	journal	May 2019
Methods for cluster cosmology and application to the SDSS in preparation for DES Year 1 release Costanzi, M.; Rozo, E.; Simet, M. Monthly Notices of the Royal Astronomical Society, Vol. 488, Issue 4 https://doi.org/10.1093/mnras/stz1949	journal	July 2019
Can intrinsic alignments of elongated low-mass galaxies be used to map the cosmic web at high redshift? Pandya, Viraj; Primack, Joel; Behroozi, Peter Monthly Notices of the Royal Astronomical Society, Vol. 488, Issue 4 https://doi.org/10.1093/mnras/stz2129	journal	August 2019
Dark Energy Survey Year 1 results: constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing Samuroff, S.; Blazek, J.; Troxel, M. A. Monthly Notices of the Royal Astronomical Society, Vol. 489, Issue 4 https://doi.org/10.1093/mnras/stz2197	journal	August 2019
KiDS + GAMA: constraints on horndeski gravity from combined large-scale structure probes Spurio Mancini, A.; Köhlinger, F.; Joachimi, B. Monthly Notices of the Royal Astronomical Society, Vol. 490, Issue 2 https://doi.org/10.1093/mnras/stz2581	journal	September 2019
Galaxy–Galaxy lensing in HSC: Validation tests and the impact of heterogeneous spectroscopic training sets Speagle, Joshua S.; Leauthaud, Alexie; Huang, Song Monthly Notices of the Royal Astronomical Society, Vol. 490, Issue 4 https://doi.org/10.1093/mnras/stz2968	journal	October 2019
On the dissection of degenerate cosmologies with machine learning Merten, Julian; Giocoli, Carlo; Baldi, Marco Monthly Notices of the Royal Astronomical Society, Vol. 487, Issue 1 https://doi.org/10.1093/mnras/stz972	journal	April 2019
On the dissection of degenerate cosmologies with machine learning Merten, Julian; Giocoli, Carlo; Baldi, Marco arXiv https://doi.org/10.48550/arxiv.1810.11027	text	January 2018
Dark Energy Survey Year 1 Results: Constraints on Intrinsic Alignments and their Colour Dependence from Galaxy Clustering and Weak Lensing Samuroff, S.; Blazek, J.; Troxel, M. A. arXiv https://doi.org/10.48550/arxiv.1811.06989	text	January 2018
KiDS+GAMA: Constraints on Horndeski gravity from combined large-scale structure probes Mancini, Alessio Spurio; Köhlinger, Fabian; Joachimi, Benjamin arXiv https://doi.org/10.48550/arxiv.1901.03686	text	January 2019
Can intrinsic alignments of elongated low-mass galaxies be used to map the cosmic web at high redshift? Pandya, Viraj; Primack, Joel; Behroozi, Peter arXiv https://doi.org/10.48550/arxiv.1902.09559	text	January 2019
Galaxy-Galaxy Lensing in HSC: Validation Tests and the Impact of Heterogeneous Spectroscopic Training Sets Speagle, Joshua S.; Leauthaud, Alexie; Huang, Song arXiv https://doi.org/10.48550/arxiv.1906.05876	text	January 2019

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