Towards the first mean pressure profile estimate with the NIKA2 Sunyaev-Zeldovich Large Program

C. Hanser; R. Adam; P. Ade; H. Ajeddig; P. André; 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; G. Ejlali; A. Ferragamo; A. Gomez; J. Goupy; S. Katsioli; F. Kéruzoré; C. Kramer; B. Ladjelate; G. Lagache; S. Leclercq; J.-F. Lestrade; J.F. Macías-Pérez; S.C. Madden; A. Maury; P. Mauskopf; F. Mayet; A. Monfardini; A. Moyer-Anin; M. Muñoz-Echeverría; A. Paliwal; C. Payerne; 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; A. Sievers; C. Tucker

doi:10.1051/epjconf/202429300024

All issues

Volume 293 (2024)

EPJ Web Conf., 293 (2024) 00024

Abstract

Open Access

Issue		EPJ Web Conf. Volume 293, 2024 mm Universe 2023 - Observing the Universe at mm Wavelengths


Article Number		00024
Number of page(s)		6
DOI		https://doi.org/10.1051/epjconf/202429300024
Published online		28 March 2024

EPJ Web of Conferences 293, 00024 (2024)
https://doi.org/10.1051/epjconf/202429300024

Towards the first mean pressure profile estimate with the NIKA2 Sunyaev-Zeldovich Large Program

C. Hanser¹^*, R. Adam², P. Ade³, H. Ajeddig⁴, P. André⁴, E. Artis¹^,6, H. Aussel⁴, I. Bartalucci⁵, A. Beelen⁷, A. Benoît⁸, S. Berta⁹, L. Bing⁷, O. Bourrion¹, M. Calvo⁸, A. Catalano¹, M. De Petris¹⁰, F.-X. Désert¹¹, S. Doyle³, E.F.C. Driessen⁹, G. Ejlali¹², A. Ferragamo¹⁰, A. Gomez¹³, J. Goupy⁸, S. Katsioli¹⁴^,15, F. Kéruzoré¹⁶, C. Kramer⁹, B. Ladjelate¹⁷, G. Lagache⁷, S. Leclercq⁹, J.-F. Lestrade¹⁸, J.F. Macías-Pérez¹, S.C. Madden⁴, A. Maury⁴, P. Mauskopf³^,19, F. Mayet¹, A. Monfardini⁸, A. Moyer-Anin¹, M. Muñoz-Echeverría¹, A. Paliwal¹⁰, C. Payerne¹, L. Perotto¹, G. Pisano¹⁰, E. Pointecouteau²⁰, N. Ponthieu¹¹, G. W. Pratt⁴, V. Revéret⁴, A.J. Rigby²¹, A. Ritacco²²^,23, C. Romero²⁴, H. Roussel²⁵, F. Ruppin²⁶, K. Schuster⁹, A. Sievers¹⁷ and C. Tucker³

¹ Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
² Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Laboratoire Lagrange, France
³ School of Physics and Astronomy, Cardiff University, CF24 3AA, UK
⁴ Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France
⁵ INAF, IASF-Milano, Via A. Corti 12, 20133 Milano, Italy
⁶ Max Planck Institute for Extraterrestrial Physics, 85748 Garching, Germany
⁷ Aix Marseille Univ, CNRS, CNES, LAM, Marseille, France
⁸ Université Grenoble Alpes, CNRS, Institut Néel, France
⁹ Institut de RadioAstronomie Millimétrique (IRAM), Grenoble, France
¹⁰ Dipartimento di Fisica, Sapienza Università di Roma, I-00185 Roma, Italy
¹¹ Univ. Grenoble Alpes, CNRS, IPAG, 38000 Grenoble, France
¹² Institute for Research in Fundamental Sciences (IPM), Larak Garden, 19395-5531 Tehran, Iran
¹³ Centro de Astrobiología (CSIC-INTA), Torrejón de Ardoz, 28850 Madrid, Spain
¹⁴ National Observatory of Athens, IAASARS, GR-15236, Athens, Greece
¹⁵ Faculty of Physics, University of Athens, GR-15784 Zografos, Athens, Greece
¹⁶ High Energy Physics Division, Argonne National Laboratory, Lemont, IL 60439, USA
¹⁷ Instituto de Radioastronomía Milimétrica (IRAM), Granada, Spain
¹⁸ LERMA, Observatoire de Paris, PSL Research Univ., CNRS, Sorbonne Univ., UPMC, 75014 Paris, France
¹⁹ School of Earth & Space and Department of Physics, Arizona State University, AZ 85287, USA
²⁰ IRAP, Université de Toulouse, CNRS, UPS, CNES, Toulouse, France
²¹ School of Physics and Astronomy, University of Leeds, Leeds LS2 9JT, UK
²² INAF-Osservatorio Astronomico di Cagliari, 09047 Selargius, Italy
²³ LPENS, ENS, PSL Research Univ., CNRS, Sorbonne Univ., Université de Paris, 75005 Paris, France
²⁴ Department of Physics and Astronomy, University of Pennsylvania, PA 19104, USA
²⁵ Institut d’Astrophysique de Paris, CNRS (UMR7095), 75014 Paris, France
²⁶ University of Lyon, UCB Lyon 1, CNRS/IN2P3, IP2I, 69622 Villeurbanne, France

^* e-mail: hanser@lpsc.in2p3.fr

Published online: 28 March 2024

Abstract

High-resolution mapping of the hot gas in galaxy clusters is a key tool for cluster-based cosmological analyses. Taking advantage of the NIKA2 millimeter camera operated at the IRAM 30-m telescope, the NIKA2 SZ Large Program seeks to get a high-resolution follow-up of 38 galaxy clusters covering a wide mass range at intermediate to high redshift. The measured SZ fluxes will be essential to calibrate the SZ scaling relation and the galaxy clusters mean pressure profile, needed for the cosmological exploitation of SZ surveys. We present in this study a method to infer a mean pressure profile from cluster observations. We have designed a pipeline encompassing the map-making and the thermodynamical properties estimates from maps. We then combine all the individual fits, propagating the uncertainties on integrated quantities, such as R₅₀₀ or P₅₀₀, and the intrinsic scatter coming from the deviation to the standard self-similar model. We validate the proposed method on realistic LPSZ-like cluster simulations.

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