Mass Calibration of Optically Selected DES clusters using a Measurement of CMB-Cluster Lensing with SPTpol Data
Creators: name: Raghunathan, S.
name: Patil, S.
name: Baxter, E.
name: Benson, B. A.
name: Bleem, L. E.
name: Chou, T. L.
name: Crawford, T. M.
name: Holder, G. P.
name: McClintock, T.
name: Reichardt, C. L.
name: Rozo, E.
name: Varga, T. N.
name: Abbott, T. M. C.
name: Ade, P. A. R.
name: Allam, S.
name: Anderson, A. J.
name: Annis, J.
name: Austermann, J. E.
name: Avila, S.
name: Beall, J. A.
name: Bechtol, K.
name: Bender, A. N.
name: Bernstein, G.
name: Bertin, E.
name: Bianchini, F.
name: Bleem, L.
name: Brooks, D.
name: Burke, D. L.
name: Carlstrom, J. E.
name: Carretero, J.
name: Chang, C. L.
name: Chiang, H. C.
name: Cho, H-M.
name: Citron, R.
name: Crites, A. T.
name: Cunha, C. E.
name: da Costa, L. N.
name: Davis, C.
name: Desai, S.
name: Diehl, H. T.
name: Dietrich, J. P.
name: Dobbs, M. A.
name: Doel, P.
name: Eifler, T. F.
name: Everett, W.
name: Evrard, A. E.
name: Flaugher, B.
name: Fosalba, P.
name: Frieman, J.
name: Gallicchio, J.
name: García-Bellido, J.
name: Gaztanaga, E.
name: George, E. M.
name: Gilbert, A.
name: Gruendl, R. A.
name: Gruen, D.
name: Gschwend, J.
name: Gupta, N.
name: Gutierrez, G.
name: de Haan, T.
name: Halverson, N. W.
name: Harrington, N.
name: Hartley, W. G.
name: Henning, J. W.
name: Hilton, G. C.
name: Hollowood, D. L.
name: Holzapfel, W. L.
name: Honscheid, K.
name: Hou, Z.
name: Hoyle, B.
name: Hrubes, J. D.
name: Huang, N.
name: Hubmayr, J.
name: Irwin, K. D.
name: James, D. J.
name: Jeltema, T.
name: Kim, A. G.
name: Kind, M. Carrasco
name: Knox, L.
name: Kovacs, A.
name: Kuehn, K.
name: Kuropatkin, N.
name: Lee, A. T.
name: Lima, M.
name: Li, T. S.
name: Maia, M. A. G.
name: Marshall, J. L.
name: McMahon, J. J.
name: Melchior, P.
name: Menanteau, F.
name: Meyer, S. S.
name: Miller, C. J.
name: Miquel, R.
name: Mocanu, L.
name: Montgomery, J.
name: Nadolski, A.
name: Natoli, T.
name: Nibarger, J. P.
name: Novosad, V.
name: Padin, S.
name: Plazas, A. A.
name: Pryke, C.
name: Rapetti, D.
name: Romer, A. K.
name: Rosell, A. Carnero
name: Ruhl, J. E.
name: Saliwanchik, B. R.
name: Sanchez, E.
name: Sayre, J. T.
name: Scarpine, V.
name: Schaffer, K. K.
name: Schubnell, M.
name: Serrano, S.
name: Sevilla-Noarbe, I.
name: Smecher, G.
name: Smith, R. C.
name: Soares-Santos, M.
name: Sobreira, F.
name: Stark, A. A.
name: Story, K. T.
name: Suchyta, E.
name: Swanson, M. E. C.
name: Tarle, G.
name: Thomas, D.
name: Tucker, C.
name: Vanderlinde, K.
name: De Vicente, J.
name: Vieira, J. D.
name: Wang, G.
name: Whitehorn, N.
name: Wu, W. L. K.
name: Zhang, Y.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences
subject: FOS: Physical sciences

description: We use cosmic microwave background (CMB) temperature maps from the 500 deg$^{2}$ SPTpol survey to measure the stacked lensing convergence of galaxy clusters from the Dark Energy Survey (DES) Year-3 redMaPPer (RM) cluster catalog. The lensing signal is extracted through a modified quadratic estimator designed to be unbiased by the thermal Sunyaev-Zel{'}dovich (tSZ) effect. The modified estimator uses a tSZ-free map, constructed from the SPTpol 95 and 150 GHz datasets, to estimate the background CMB gradient. For lensing reconstruction, we employ two versions of the RM catalog: a flux-limited sample containing 4003 clusters and a volume-limited sample with 1741 clusters. We detect lensing at a significance of 8.7$σ$(6.7$σ$) with the flux(volume)-limited sample. By modeling the reconstructed convergence using the Navarro-Frenk-White profile, we find the average lensing masses to be $M_{200m}$ = ($1.62^{+0.32}_{-0.25}$ [stat.] $\pm$ 0.04 [sys.]) and ($1.28^{+0.14}_{-0.18}$ [stat.] $\pm$ 0.03 [sys.]) $\times\ 10^{14}\ M_{\odot}$ for the volume- and flux-limited samples respectively. The systematic error budget is much smaller than the statistical uncertainty and is dominated by the uncertainties in the RM cluster centroids. We use the volume-limited sample to calibrate the normalization of the mass-richness scaling relation, and find a result consistent with the galaxy weak-lensing measurements from DES (Mcclintock et al. 2018).
description: 19 pages, 6 figures, published in ApJ