https://doi.org/10.1051/epjconf/202225700033
The LPSZ-CLASH galaxy cluster sample: Combining lensing and hydrostatic mass estimates
1 Univ. Grenoble Alpes, CNRS, LPSC-IN2P3, 53, avenue des Martyrs, 38000 Grenoble, France
2 LLR, CNRS, École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
3 School of Physics and Astronomy, Cardiff University, Queen’s Buildings, The Parade, Cardiff, CF24 3AA, UK
4 AIM, CEA, CNRS, Université Paris-Saclay, Université Paris Diderot, Sorbonne Paris Cité, 91191 Gifsur-Yvette, France
5 INAF, IASF-Milano, Via A. Corti 12, 20133 Milano, Italy
6 Institut d’Astrophysique Spatiale (IAS), CNRS, Université Paris Sud, Orsay, France
7 Institut Néel, CNRS, Université Grenoble Alpes, France
8 Institut de RadioAstronomie Millimétrique (IRAM), Grenoble, France
9 Aix Marseille Univ, CNRS, CNES, LAM, Marseille, France
10 Dipartimento di Fisica, Sapienza Università di Roma, Piazzale Aldo Moro 5, I-00185 Roma, Italy
11 Univ. Grenoble Alpes, CNRS, IPAG, 38000 Grenoble, France
12 Centro de Astrobiología (CSIC-INTA), Torrejón de Ardoz, 28850 Madrid, Spain
13 Instituto de Radioastronomía Milimétrica (IRAM), Granada, Spain
14 LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Université, UPMC, 75014 Paris, France
15 Univ. de Toulouse, UPS-OMP, CNRS, IRAP, 31028 Toulouse, France
16 Laboratoire de Physique de l’École Normale Supérieure, ENS, PSL Research University, CNRS, Sorbonne Université, Université de Paris, 75005 Paris, France
17 Department of Physics and Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, PA, 19104, USA
18 Institut d’Astrophysique de Paris, CNRS (UMR7095), 98 bis boulevard Arago, 75014 Paris, France
19 Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
20 School of Earth and Space Exploration and Department of Physics, Arizona State University, Tempe, AZ 85287, USA
21 Caltech, Pasadena, CA 91125, USA
22 Departamento de Física Teórica and CIAFF, Facultad de Ciencias, Modulo 8, Universidad Autánoma de Madrid, 28049 Madrid, Spain
* e-mail: miren.munoz@lpsc.in2p3.fr
Published online: 17 January 2022
Starting from the clusters included in the NIKA sample and in the NIKA2 Sunyaev-Zel’dovich Large Program (LPSZ) we have selected a sample of six common objects with the Cluster Lensing And Supernova survey with Hubble (CLASH) lensing data. For the LPSZ clusters we have at our disposal both high-angular resolution observations of the thermal SZ with NIKA and NIKA2 and X-ray observations with XMM-Newton from which hydrostatic mass estimates can be derived. In addition, the CLASH dataset includes lensing convergence maps that can be converted into lensing estimates of the total mass of the cluster. One-dimensional mass profiles are used to derive integrated mass estimates accounting for systematic effects (data processing, modeling, etc.). Two-dimensional analysis of the maps can reveal substructures in the cluster and, therefore, inform us about the dynamical state of each system. Moreover, we are able to study the hydrostatic mass to lensing mass bias, across different morphology and a range of redshift clusters to give more insight on the hydrostatic mass bias. The analysis presented in this proceeding follows the study discussed in [20].
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
