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Cluster mass calibration at high redshift: HST weak lensing analysis of 13 distant galaxy clusters from the South Pole Telescope Sunyaev–Zel'dovich Survey

T. SchrabbackKavli Institute for Particle Astrophysics and Cosmology, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305-4060, USADouglas ApplegateArgelander-Institut für Astronomie, Universität Bonn, Auf dem Hügel 71, D-53121 Bonn, GermanyJ. P. DietrichFaculty of Physics, Ludwig-Maximilians University, Scheinerstr 1, D-81679 München, GermanyHenk HoekstraLeiden Observatory, Leiden University, Niels Bohrweg 2, NL-2300 CA Leiden, the NetherlandsS. BocquetFaculty of Physics, Ludwig-Maximilians University, Scheinerstr 1, D-81679 München, GermanyAnthony H. GonzalezDepartment of Astronomy, University of Florida, Gainesville, FL 3261, USAAnja von der LindenDepartment of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794, USAM. McDonaldMIT Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USAChristopher MorrisonArgelander-Institut für Astronomie, Universität Bonn, Auf dem Hügel 71, D-53121 Bonn, GermanySelim RaihanArgelander-Institut für Astronomie, Universität Bonn, Auf dem Hügel 71, D-53121 Bonn, GermanyS. W. AllenKavli Institute for Particle Astrophysics and Cosmology, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305-4060, USAMatthew BaylissDepartment of Physics, Harvard University, 17 Oxford Street, Cambridge, MA 02138, USAB. A. BensonFermi National Accelerator Laboratory, Batavia, IL 60510-0500, USAL. E. BleemDepartment of Physics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637, USAI-Non ChiuFaculty of Physics, Ludwig-Maximilians University, Scheinerstr 1, D-81679 München, GermanyS. DesaiFaculty of Physics, Ludwig-Maximilians University, Scheinerstr 1, D-81679 München, GermanyR. J. FoleyDepartment of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064, USAT. de HaanDepartment of Physics, University of California, Berkeley, CA 94720, USAF. W. HighDepartment of Astronomy and Astrophysics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637, USAStefan HilbertExcellence Cluster Universe, Boltzmannstr 2, D-85748 Garching, GermanyA. MantzKavli Institute for Particle Astrophysics and Cosmology, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305-4060, USAR. MasseyInstitute for Computational Cosmology, Durham University, South Road, Durham DH1 3LE, UKJ. J. MohrFaculty of Physics, Ludwig-Maximilians University, Scheinerstr 1, D-81679 München, GermanyC. L. ReichardtSchool of Physics, University of Melbourne, Parkville, VIC 3010, AustraliaA. SaroExcellence Cluster Universe, Boltzmannstr 2, D-85748 Garching, GermanyP. ŠimonArgelander-Institut für Astronomie, Universität Bonn, Auf dem Hügel 71, D-53121 Bonn, GermanyC SternFaculty of Physics, Ludwig-Maximilians University, Scheinerstr 1, D-81679 München, GermanyC. W. StubbsDepartment of Physics, Harvard University, 17 Oxford Street, Cambridge, MA 02138, USAA. ZentenoCerro Tololo Inter-American Observatory, Casilla 603, La Serena, Chile

2017en

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ABI

Annotatsiya

We present an HST/Advanced Camera for Surveys (ACS) weak gravitational lensing analysis of 13 massive high-redshift (zmedian = 0.88) galaxy clusters discovered in the South Pole Telescope (SPT) Sunyaev–Zel'dovich Survey. This study is part of a larger campaign that aims to robustly calibrate mass–observable scaling relations over a wide range in redshift to enable improved cosmological constraints from the SPT cluster sample. We introduce new strategies to ensure that systematics in the lensing analysis do not degrade constraints on cluster scaling relations significantly. First, we efficiently remove cluster members from the source sample by selecting very blue galaxies in V − I colour. Our estimate of the source redshift distribution is based on Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS) data, where we carefully mimic the source selection criteria of the cluster fields. We apply a statistical correction for systematic photometric redshift errors as derived from Hubble Ultra Deep Field data and verified through spatial cross-correlations. We account for the impact of lensing magnification on the source redshift distribution, finding that this is particularly relevant for shallower surveys. Finally, we account for biases in the mass modelling caused by miscentring and uncertainties in the concentration–mass relation using simulations. In combination with temperature estimates from Chandra we constrain the normalization of the mass–temperature scaling relation ln (E(z)M500c/1014 M⊙) = A + 1.5ln (kT/7.2 keV) to \nA=1.81+0.24−0.14(stat.)±0.09(sys.)\nA=1.81−0.14+0.24(stat.)±0.09(sys.)\n \n, consistent with self-similar redshift evolution when compared to lower redshift samples. Additionally, the lensing data constrain the average concentration of the clusters to \nc200c=5.6+3.7−1.8\nc200c=5.6−1.8+3.7.

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DOI: 10.1093/mnras/stx2666

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