DOI: 10.5281/zenodo.16778251
title: Figure data for "Turbulence in Simulated Local Cluster Analogs: one-to-one comparisons between SLOW and XRISM/Hitomi"

description: Data related to the publication Groth et al. (2025)

Three files, one for each cluster, are uploaded in HDF5 format.

The filenames contain: 



the name of the cluster

the type of the simulation (in this case gas [only hydrodynamics] with the SPH hydro-solver)

and the resolution of the simulation given by the equivalent number of particles in a full cosmological box (also compare Dolag et al. (2023)).


Each individual file contains the following structured HDF5 data, each annotated with a description and units:



a header with the data description (arxiv-identifier, author, brief description, arxiv doi)

dynamical_states (Figure 1)



redshift (redshift of the data points)

mass_fraction (M_sub/M200, upper panel y-axis)

offset (r_com-r_{min pot}/R_200, upper panel x-axis)

smoothed_alpha (alpha calculated from smoothed map, lower panel y-axis)

smoothed kappa (kappa calculated from smoothed map, lower panel x-axis)



radial_velocity_profiles (Figure 2)



r (in kpc/h, shared x-axis)

total_vol (in km/s, left panel y-axis; volume weighted)

total_vol_lower (lower bound; in km/s, left panel y-axis)

total_vol_upper (upper bound; in km/s, left panel y-axis)

multi-filtered_vol (in km/s, right panel y-axis; volume weighted)

multi-filtered_vol_lower (lower bound; in km/s, right panel y-axis)

multi-filtered_vol_upper (upper bound; in km/s, right panel y-axis)



radial_turbulent_pressure_profile (Figure 3)



r (in units of R_200, x-axis)

PturbdivPtot (P_turb/P_tot, y-axis)

PturbdivPtot_lower (lower bound; P_turb/P_tot, y-axis)

PturbdivPtot_upper (upper bound; P_turb/P_tot, y-axis)



mock_spectrum (Figure 4)



energy (in keV, x-axis)

spectrum (in counts/s/keV, y-axis)

errors (in counts/s/keV, Poisson noise of the spectrum, shown as y-errorbars)




The files were created with the Restartfiles wrapper for the Julia HDF5 package, but can be read with any HDF5 reader.
description: FG, KD and BAS acknowledge support by the COMPLEX project from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program grant agreement ERC-2019-AdG 882679.FG and KD acknowledges support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC-2094 - 390783311.

KD, JS and BAS acknowledge support by the grant agreements ANR-21-CE31-0019 / 490702358 from the French Agence Nationale de la Recherche / DFG for the LOCALIZATION project.

MV is supported by the Fondazione ICSC National Recovery and Resilience Plan (PNRR), Project ID CN-00000013 "Italian Research Center on High-Performance Computing, Big Data and Quantum Computing" funded by MUR - Next Generation EU. MV also acknowledges partial financial support from the INFN Indark Grant.

SVZ acknowledges support by the Deutsche Forschungsgemeinschaft, DFG project nr. 415510302.

JS acknowledges support from Univ. Lille, UNIVERSITWINS project (Initiative d'excellence).

The simulations were carried out at the Leibniz Supercomputer Center (LRZ) under the project pn68na (CLUES).