Maqola

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. SchrabbackArgelander-Institut für Astronomie, Universität Bonn, Auf dem Hügel 71, D-53121 Bonn, GermanyDouglas ApplegateArgelander-Institut für Astronomie, Universität Bonn, Auf dem Hügel 71, D-53121 Bonn, GermanyJ. P. DietrichExcellence Cluster Universe, Boltzmannstr 2, D-85748 Garching, GermanyHenk HoekstraLeiden Observatory, Leiden University, Niels Bohrweg 2, NL-2300 CA Leiden, the NetherlandsS. BocquetArgonne National Laboratory, 9700 S. Cass Avenue, Argonne, IL 60439, USAAnthony H. GonzalezDepartment of Astronomy, University of Florida, Gainesville, FL 3261, USAAnja von der LindenDark Cosmology Centre, Niels Bohr Institute, University of Copenhagen, Juliane Maries Vej 30, DK-2100 Copenhagen, DenmarkM. 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. AllenDepartment of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305-4060, USAMatthew BaylissDepartment of Physics & Astronomy, Colby College, 5800 Mayflower Hill, Waterville, ME 04901, USAB. A. BensonDepartment of Astronomy and Astrophysics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637, USAL. E. BleemArgonne National Laboratory, 9700 S. Cass Avenue, Argonne, IL 60439, USAI-Non ChiuAcademia Sinica Institute of Astronomy and Astrophysics (ASIAA), 11F of AS/NTU Astronomy-Mathematics Building, No. 1, Section 4, Roosevelt Rd, Taipei 10617, TaiwanS. DesaiDepartment of Physics, IIT Hyderabad, Kandi, Telangana 502285, IndiaR. J. FoleyDepartment of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064, USAT. de HaanDepartment of Physics, McGill University, 3600 Rue University, Montreal, Quebec H3A 2T8, CanadaF. 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. MantzDepartment of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305-4060, USAR. MasseyInstitute for Computational Cosmology, Durham University, South Road, Durham DH1 3LE, UKJ. J. MohrExcellence Cluster Universe, Boltzmannstr 2, D-85748 Garching, 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 SternExcellence Cluster Universe, Boltzmannstr 2, D-85748 Garching, 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

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.

Hali tarjima qilinmagan

Identifikatorlar

DOI: 10.1093/mnras/stx2666

Iqtiboslar va manbalar

2 ta iqtibos0 ta foydalanilgan manba

Koʻrsatkichlar — AkademScholar