van Uitert, E;
Joachimi, B;
(2017)
Intrinsic alignment of redMaPPer clusters: cluster shape-matter density correlation.
Monthly Notices of the Royal Astronomical Society
, 468
(4)
pp. 4502-4512.
10.1093/mnras/stx756.
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Abstract
We measure the alignment of the shapes of galaxy clusters, as traced by their satellite distributions, with the matter density field using the public redMaPPer catalogue based on Sloan Digital Sky Survey–Data Release 8 (SDSS-DR8), which contains 26 111 clusters up to z ∼ 0.6. The clusters are split into nine redshift and richness samples; in each of them, we detect a positive alignment, showing that clusters point towards density peaks. We interpret the measurements within the tidal alignment paradigm, allowing for a richness and redshift dependence. The intrinsic alignment (IA) amplitude at the pivot redshift z = 0.3 and pivot richness λ = 30 is AgenIA=12.6+1.5−1.2 AIAgen=12.6−1.2+1.5 . We obtain tentative evidence that the signal increases towards higher richness and lower redshift. Our measurements agree well with results of maxBCG clusters and with dark-matter-only simulations. Comparing our results to the IA measurements of luminous red galaxies, we find that the IA amplitude of galaxy clusters forms a smooth extension towards higher mass. This suggests that these systems share a common alignment mechanism, which can be exploited to improve our physical understanding of IA.
| Type: | Article |
|---|---|
| Title: | Intrinsic alignment of redMaPPer clusters: cluster shape-matter density correlation |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/mnras/stx756 |
| Publisher version: | http://doi.org/10.1093/mnras/stx756 |
| Language: | English |
| Additional information: | © 2017 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Physical Sciences, Astronomy & Astrophysics, methods: data analysis, methods: statistical, galaxies: clusters: general, dark matter, large-scale structure of Universe, WEAK-LENSING SURVEYS, DIGITAL SKY SURVEY, COSMOLOGICAL HYDRODYNAMICAL SIMULATION, MASSIVEBLACK-II SIMULATION, LUMINOUS RED GALAXIES, COSMIC SHEAR, SDSS-III, POWER SPECTRA, HORIZON-AGN, IMPACT |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1550517 |
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