PITSZI: Probing intra-cluster medium turbulence with Sunyaev–Zel’dovich imaging

Application to the triple merging cluster MACS J0717.5+3745

¹ Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Laboratoire Lagrange, France
² INAF, IASF-Milano, Via A. Corti 12, 20133 Milano, Italy
³ Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble Alpes, CNRS/IN2P3, 53, Avenue des Martyrs, Grenoble, France
⁴ IRAP, CNRS, Université de Toulouse, CNES, UT3-UPS, Toulouse, France
⁵ Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, F-91191 Gif-sur-Yvette, France

^⋆ Corresponding author; remi.adam@oca.eu

Received: 23 September 2024
Accepted: 2 January 2025

Abstract

Turbulent gas motions are expected to dominate the non-thermal energy budget of the intracluster medium (ICM). The measurement of pressure fluctuations from high angular resolution Sunyaev–Zel’dovich imaging opens a new avenue to study ICM turbulence, complementary to X-ray density fluctuation measures. We developed a methodological framework designed to optimally extract information on the ICM pressure fluctuation power spectrum statistics, and publicly released the associated software named PITSZI (Probing ICM Turbulence from Sunyaev–Zel’dovich Imaging). We applied this tool to the New IRAM KIDs Array (NIKA) data of the merging cluster MACS J0717.5+3745 to measure its pressure fluctuation power spectrum at high significance, and to investigate the implications for its non-thermal content. Depending on the choice of the radial pressure model and the details of the applied methodology, we measured an energy injection scale L_inj ∼ 800 kpc. The power spectrum normalization corresponds to a characteristic amplitude reaching A_δP/P̄(k_peak) ∼ 0.4. These results were obtained assuming that the ICM of MACS J0717.5+3745 can be described as pressure fluctuations on top of a single (smooth) halo, and were dominated by systematics due to the choice of the radial pressure model. Using simulations, we determined that fitting a radial model to the data can suppress the observed fluctuations by up to ∼50%, while a poorly representative radial model can induce spurious fluctuations, which we also quantified. Assuming standard scaling relations between the pressure fluctuations and turbulence, we find that MACS J0717.5+3745 presents a turbulent velocity dispersion σ_v ∼ 1200 km/s, a kinetic to kinetic plus thermal pressure fraction P_kin/P_kin + th ∼ 20%, and we estimate the hydrostatic mass bias to b_HSE ∼ 0.3 − 0.4. Our results are in excellent agreement with alternative measurements obtained from X-ray surface brightness fluctuations, and in agreement with the fluctuations being adiabatic in nature.