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The LPSZ-CLASH galaxy cluster sample: Combining lensing and hydrostatic mass estimates

Muñoz-Echeverría, M. and Adam, R. and Ade, P. and Ajeddig, H. and André, P. and Arnaud, M. and Artis, E. and Aussel, H. and Bartalucci, I. and Beelen, A. and Benoît, A. and Berta, S. and Bing, L. and Bourrion, O. and Calvo, M. and Catalano, A. and De Petris, M. and Désert, F.-X. and Doyle, S. and Driessen, E. F. C. and Ferragamo, A. and Gomez, A. and Goupy, J. and Kéruzoré, F. and Kramer, C. and Ladjelate, B. and Lagache, G. and Leclercq, S. and Lestrade, J.-F. and Macías-Pérez, J.-F. and Maury, A. and Mauskopf, P. and Mayet, F. and Monfardini, A. and Paliwal, A. and Perotto, L. and Pisano, G. and Pointecouteau, E. and Ponthieu, N. and Pratt, G. W. and Revéret, V. and Rigby, A. J. and Ritacco, A. and Romero, C. and Roussel, H. and Ruppin, F. and Schuster, K. and Shu, S. and Sievers, A. and Tucker, C. and Yepes, G. (2022) The LPSZ-CLASH galaxy cluster sample: Combining lensing and hydrostatic mass estimates. EPJ Web of Conferences, 257 . Art. No. 00033. ISSN 2100-014X. doi:10.1051/epjconf/202225700033.

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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].

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Shu, S.0000-0002-6370-2101
Additional Information:© 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. We would like to thank the IRAM staff for their support during the campaigns. The NIKA2 dilution cryostat has been designed and built at the Institut Néel. In particular, we acknowledge the crucial contribution of the Cryogenics Group, and in particular Gregory Garde, Henri Rodenas, Jean Paul Leggeri, Philippe Camus. This work has been partially funded by the Foundation Nanoscience Grenoble and the LabEx FOCUS ANR-11-LABX-0013. This work is supported by the French National Research Agency under the contracts "MKIDS", "NIKA" and ANR-15-CE31-0017 and in the framework of the "Investissements d’avenir” program (ANR-15-IDEX-02). This work has benefited from the support of the European Research Council Advanced Grant ORISTARS under the European Union’s Seventh Framework Programme (Grant Agreement no. 291294). F.R. acknowledges financial supports provided by NASA through SAO Award Number SV2-82023 issued by the Chandra X-Ray Observatory Center, which is operated by the Smithsonian Astrophysical Observatory for and on behalf of NASA under contract NAS8-03060.
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Foundation Nanoscience GrenobleUNSPECIFIED
Agence Nationale pour la Recherche (ANR)ANR-11-LABX-0013
Agence Nationale pour la Recherche (ANR)ANR-15-CE31-0017
Agence Nationale pour la Recherche (ANR)ANR-15-IDEX-02
European Research Council (ERC)291294
Record Number:CaltechAUTHORS:20220214-16477600
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Official Citation:The LPSZ-CLASH galaxy cluster sample: Combining lensing and hydrostatic mass estimates. M. Muñoz-Echeverría, R. Adam, P. Ade, H. Ajeddig, P. André, M. Arnaud, E. Artis, H. Aussel, I. Bartalucci, A. Beelen, A. Benoît, S. Berta, L. Bing, O. Bourrion, M. Calvo, A. Catalano, M. De Petris, F.-X. Désert, S. Doyle, E. F. C. Driessen, A. Ferragamo, A. Gomez, J. Goupy, F. Kéruzoré, C. Kramer, B. Ladjelate, G. Lagache, S. Leclercq, J.-F. Lestrade, J.-F. Macías-Pérez, A. Maury, P. Mauskopf, F. Mayet, A. Monfardini, A. Paliwal, L. Perotto, G. Pisano, E. Pointecouteau, N. Ponthieu, G. W. Pratt, V. Revéret, A. J. Rigby, A. Ritacco, C. Romero, H. Roussel, F. Ruppin, K. Schuster, S. Shu, A. Sievers, C. Tucker and G. Yepes. EPJ Web Conf., 257 (2022) 00033; DOI:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:113448
Deposited By: Tony Diaz
Deposited On:15 Feb 2022 18:00
Last Modified:15 Feb 2022 18:00

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