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Dark Energy Surveyed Year 1 results: calibration of cluster mis-centring in the redMaPPer catalogues
Fermilab Natl Accelerator Lab, POB 500, Batavia, IL 60510 USA.
Santa Cruz Inst Particle Phys, Santa Cruz, CA 95064 USA.
Santa Cruz Inst Particle Phys, Santa Cruz, CA 95064 USA.
Santa Cruz Inst Particle Phys, Santa Cruz, CA 95064 USA.
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2019 (English)In: Monthly notices of the Royal Astronomical Society, ISSN 0035-8711, E-ISSN 1365-2966, Vol. 487, no 2, p. 2578-2593Article in journal (Refereed) Published
Abstract [en]

The centre determination of a galaxy cluster from an optical cluster finding algorithm can be offset from theoretical prescriptions or N-body definitions of its host halo centre. These offsets impact the recovered cluster statistics, affecting both richness measurements and the weak lensing shear profile around the clusters. This paper models the centring performance of the redMaPPer cluster finding algorithm using archival X-ray observations of redMaPPer-selected clusters. Assuming the X-ray emission peaks as the fiducial halo centres, and through analysing their offsets to the redMaPPer centres, we find that similar to 75 +/- 8 per cent of the redMaPPer clusters are well centred and the mis-centred offset follows a Gamma distribution in normalized, projected distance. These mis-centring offsets cause a systematic underestimation of cluster richness relative to the well-centred clusters, for which we propose a descriptive model. Our results enable the DES Y1 cluster cosmology analysis by characterizing the necessary corrections to both the weak lensing and richness abundance functions of the DES Y1 redMaPPer cluster catalogue.

Place, publisher, year, edition, pages
OXFORD UNIV PRESS , 2019. Vol. 487, no 2, p. 2578-2593
Keywords [en]
galaxies: clusters: general, dark energy, X-rays: galaxies: clusters
National Category
Astronomy, Astrophysics and Cosmology
Identifiers
URN: urn:nbn:se:uu:diva-390500DOI: 10.1093/mnras/stz1361ISI: 000474919700076OAI: oai:DiVA.org:uu-390500DiVA, id: diva2:1341972
Funder
EU, European Research Council, 240672EU, European Research Council, 291329EU, European Research Council, 306478Available from: 2019-08-12 Created: 2019-08-12 Last updated: 2019-08-12Bibliographically approved

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Sahlén, Martin

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