@article{a2222710cb8d463ebe8841c728513e9b,
title = "Planck Sunyaev-Zel'dovich cluster mass calibration using Hyper Suprime-Cam weak lensing",
abstract = "Using ∼140 deg2 Subaru Hyper Suprime-Cam (HSC) survey data, we stack the weak lensing (WL) signal around five Planck clusters found within the footprint. This yields a 15σ detection of the mean Planck cluster mass density profile. The five Planck clusters span a relatively wide mass range, MWL,500c = (2-30) × 1014M with a mean mass of MWL,500c = (4.15±0.61) × 1014M. The ratio of the stacked Planck Sunyaev-Zel'dovich (SZ) mass to the stacked WL mass is (MSZ)/(MWL) = 1 - b = 0.80±0.14. This mass bias is consistent with previous WL mass calibrations of Planck clusters within the errors. We discuss the implications of our findings for the calibration of SZ cluster counts and the much discussed tension between Planck SZ cluster counts and Planck ΣCDM cosmology.",
keywords = "Clusters, Cosmology, General-gravitational lensing, Observations-dark matter-galaxies, Weak-large-scale structure of universe",
author = "Elinor Medezinski and Nicholas Battaglia and Keiichi Umetsu and Masamune Oguri and Hironao Miyatake and Nishizawa, {Atsushi J.} and Crist{\'o}bal Sif{\'o}n and Spergel, {David N.} and Chiu, {I. Non} and Lin, {Yen Ting} and Neta Bahcall and Yutaka Komiyama",
note = "Funding Information: EM acknowledges fruitful discussions with Andy Goulding and Peter Melchior. The Hyper Suprime-Cam (HSC) collaboration includes the astronomical communities of Japan and Taiwan, and Princeton University. The HSC instrumentation and software were developed by the National Astronomical Observatory of Japan (NAOJ), the Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU), the University of Tokyo, the High Energy Accelerator Research Organization (KEK), the Academia Sinica Institute for Astronomy and Astrophysics in Taiwan (ASIAA), and Princeton University. Funding was contributed by the FIRST program from Japanese Cabinet Office, the Ministry of Education, Culture, Sports, Science and Technology (MEXT), the Japan Society for the Promotion of Science (JSPS), Japan Science and Technology Agency (JST), the Toray Science Foundation, NAOJ, Kavli IPMU, KEK, ASIAA, and Princeton University. This paper makes use of software developed for the Large Synoptic Survey Telescope. We thank the LSST Project for making their code available as free software at 〈http://dm.lsst.org〉. The Pan-STARRS1 Surveys (PS1) have been made possible through contributions of the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project Office, the Max-Planck Society and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg and the Max Planck Institute for Extraterrestrial Physics, Garching, The Johns Hopkins University, Durham University, the University of Edinburgh, Queen?s University Belfast, the Harvard-Smithsonian Center for Astrophysics, the Las Cumbres Observatory Global Telescope Network Incorporated, the National Central University of Taiwan, the Space Telescope Science Institute, the National Aeronautics and Space Administration under Grant No. NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation under Grant No. AST-1238877, the University of Maryland, and Eotvos Lorand University (ELTE) and the Los Alamos National Laboratory. Based (in part) on data collected at the Subaru Telescope and retrieved from the HSC data archive system, which is operated by Subaru Telescope and Astronomy Data Center at National Astronomical Observatory of Japan. This paper makes use of packages available in Python{\textquoteright}s open scientific ecosystem, including NumPy (van der Walt et al. 2011), SciPy,3 matplotlib (Hunter 2007), IPython (P{\'e}rez & Granger 2007), AstroPy (Astropy Collaboration et al. 2013), and cluster-lensing.4 The work reported on in this paper was substantially performed at the TIGRESS high-performance computer center at Princeton University which is jointly supported by the Princeton Institute for Computational Science and Engineering and the Princeton University Office of Information Technology{\textquoteright}s Research Computing department. NB acknowledges the support from the Lyman Spitzer Jr. Fellowship. HM is supported by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. This work was supported in part by World Premier International Research Center Initiative (WPI Initiative), MEXT, Japan, Funding Information: and JSPS KAKENHI Grant Number 26800093 and 15H05892. KU acknowledges support from the Ministry of Science and Technology of Taiwan through the grant MOST 103-2112-M-001-030-MY3. Publisher Copyright: {\textcopyright} The Author 2017. Published by Oxford University Press on behalf of the Astronomical Society of Japan. All rights reserved.",
year = "2018",
month = jan,
day = "1",
doi = "10.1093/pasj/psx128",
language = "English (US)",
volume = "70",
journal = "Publications of the Astronomical Society of Japan",
issn = "0004-6264",
publisher = "Astronomical Society of Japan",
number = "Special Issue 1",
}