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

Hanser, C.; Adam, R.; Ade, P.; Ajeddig, H.; Andre, P.; Artis, E.; Aussel, H.; Bartalucci, I.; Beelen, A.; Benoit, A.; Berta, S.; Bing, L.; Bourrion, O.; Calvo, M.; Catalano, A.; De Petris, M.; Desert, F. -X.; Doyle, S.; Driessen, E. F. C.; Ejlali, G.; Ferragamo, A.; Gomez, A.; Goupy, J.; Katsioli, S.; Keruzore, F.; Kramer, C.; Ladjelate, B.; Lagache, G.; Leclercq, S.; Lestrade, J. -F.; Macias-Perez, J. F.; Madden, S. C.; Maury, A.; Mauskopf, P.; Mayet, F.; Monfardini, A.; Moyer-Anin, A.; Munoz-Echeverria, M.; Paliwal, A.; Payerne, C.; Perotto, L.; Pisano, G.; Pointecouteau, E.; Ponthieu, N.; Pratt, G. W.; Reveret, V.; Rigby, A. J.; Ritacco, A.; Romero, C.; Roussel, H.; Ruppin, F.; Schuster, K.; Sievers, A.; Tucker, C.

doi:10.1051/epjconf/202429300024

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

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Artis, E.
High Energy Astrophysics, MPI for Extraterrestrial Physics, Max Planck Society;

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Citation

Hanser, C., Adam, R., Ade, P., Ajeddig, H., Andre, P., Artis, E., et al. (2024). Towards the first mean pressure profile estimate with the NIKA2 Sunyaev-Zeldovich Large Program. OBSERVING THE UNIVERSE AT MM WAVELENGTHS, MM UNIVERSE 2023, 00024. doi:10.1051/epjconf/202429300024.

Cite as: https://hdl.handle.net/21.11116/0000-0010-0452-D

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 R-500 or P-500, 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.