J/MNRAS/522/1601  Masses of galaxy clusters and groups in eFEDS    (Chiu+, 2023)

Cosmological constraints from galaxy clusters and groups in the eROSITA final equatorial depth survey. Chiu I.-N., Klein M., Mohr J., Bocquet S. <Mon. Not. R. Astron. Soc. 522, 1601-1642 (2023)> =2023MNRAS.522.1601C 2023MNRAS.522.1601C (SIMBAD/NED BibCode)
ADC_Keywords: Clusters, galaxy ; X-ray sources ; Active gal. nuclei Keywords: gravitational lensing: weak - galaxies: clusters: general - cosmological parameters; dark energy - large-scale structure of Universe - X-rays: galaxies: clusters Abstract: We present the first cosmological study of a sample of eROSITA clusters, which were identified in the eROSITA Final Equatorial Depth Survey (eFEDS). In a joint selection on X-ray and optical observables, the sample contains 455 clusters within a redshift range of 0.1 < z < 1.2, of which 177 systems are covered by the public data from the Hyper Suprime-Cam (HSC) survey that enables uniform weak-lensing cluster mass constraints. With minimal assumptions, at each cluster redshift we empirically model (1) the scaling relations between the cluster halo mass and the observables, which include the X-ray count rate, the optical richness, and the weak-lensing mass, and (2) the X-ray selection in terms of the completeness function C. Using the richness distribution of the clusters, we directly measure the X-ray completeness and adopt those measurements as informative priors for the parameters of C. In a blinded analysis, we obtain the cosmological constraints ωm=0.245+0.048-0.058, σ8=0.833+0.075-0.063, and S8 = σ8(ωm/0.3)0.3 = 0.791+0.028-0.031 in a flat LCDM cosmology. Extending to a flat wCDM cosmology leads to the constraint on the equation of state parameter of the dark energy of w = -1.25 ± 0.47. The eFEDS constraints are in good agreement with the results from the Planck mission, the galaxy-galaxy lensing and clustering analysis of the Dark Energy Survey, and the cluster abundance analysis of the SPT-SZ survey at a level of ≲ 1σ. With the empirical modelling, this work presents the first fully self-consistent cosmological constraints based on a synergy between wide-field X-ray and weak lensing surveys. Description: In this paper, we continue to constrain cosmology by combining the weak-lensing mass calibration presented in Chiu et al. (2022A&A...661A..11C 2022A&A...661A..11C, Cat. J/A+A/661/A11) with the abundance of the eFEDS clusters. We stress that the eFEDS clusters used in this work are first selected in X-rays and then confirmed in the optical, resulting in a clean and sizable sample for cosmological study without losing a significant amount of clusters due to a more stringent X-ray selection. We use the sample of clusters in the eROSITA Final Equatorial Depth Survey (eFEDS), of which the data and catalogues are publicly available within the eROSITA Early Data Release. The data were processed by the pipeline eSASSusers_201009, which is described in detail in Brunner et al. (2022A&A...661A...1B 2022A&A...661A...1B, Cat. J/A+A/661/A1). After the source detection, the catalogue of eFEDS clusters is constructed using the criteria of Ldet > 5, Lext > 6, and EXT > 0, resulting in the 542 clusters that are publicly released in Liu et al. (2022A&A...661A...2L 2022A&A...661A...2L, Cat. J/A+A/661/A2). Along the section 5, we first present the results obtained from independently modelling the mass calibration and the cluster abundance, and then the results of the joint analysis. Finally, the cosmological constraints are presented. We focus on the modelling assuming a flat LCDM cosmology and then extend the results to the flat wCDM cosmology. Then, with the mass posterior P(M|η,z,p) for each cluster we randomly sample a mass estimate from the posterior as the 'ensemble' mass. The ensemble mass here is referred to as the individual mass estimate that acts as an ensemble statistic inferred from the overall population modelling. The uncertainty of the cluster mass, which is derived as the dispersion of the mass posterior, is at a level of about 20 per cent for a cluster with M500c ≃ 1014 h-1 M☉. We provide these mass measurements in tableb1.dat of the same 542 sources. File Summary: -------------------------------------------------------------------------------- FileName Lrecl Records Explanations -------------------------------------------------------------------------------- ReadMe 80 . This file table.dat 247 542 *The mass measurements of individual eFEDS clusters -------------------------------------------------------------------------------- Note on table.dat: The mass units are given in [Msun/h] with h=H0/100 km/s/Mpc, with H0 value taken from Planck 2018 results. VI. Cosmological parameters of Plank Collaboration et al. (2020A&A...641A...6P 2020A&A...641A...6P). -------------------------------------------------------------------------------- See also: J/MNRAS/488/739 : MARD-Y3 catalog (Klein+, 2019) J/MNRAS/474/3324 : Multicomponent matched filter test (Klein+, 2018) J/MNRAS/444/147 : Richness of galaxy clusters (Oguri, 2014) J/A+A/661/A1 : The eFEDS X-ray catalogs (V7.4) (Brunner+, 2022) J/A+A/661/A10 : eFEDS galaxy clusters and groups in disguise (Bulbul+, 2022) J/A+A/661/A11 : eFEDS. Masses of galaxy clusters and groups (Chui+, 2022) J/A+A/661/A2 : Galaxy clusters and groups in eFEDS (Liu+, 2022) J/A+A/661/A3 : eFEDS counterparts to point-like sources (Salvato+, 2022) J/A+A/661/A4 : eFEDS optical cluster and group catalog (Klein+, 2022) J/A+A/661/A7 : X-ray properties of eFEDS clusters and groups (Bahar+, 2022) J/A+A/652/A12 : The new X-Class catalogue (Koulouridis+, 2021) J/A+A/638/A114 : CODEX galaxy clusters catalog (Finoguenov+, 2020) J/A+A/594/A27 : Planck Sunyaev-Zeldovich sources (PSZ2) (Planck+, 2016) J/A+A/588/A103 : Second ROSAT all-sky survey (2RXS) source catalog (Boller+, 2016) J/A+A/425/367 : REFLEX Galaxy Cluster Survey catalogue (Boehringer+, 2004) J/ApJ/934/129 : Combination of Planck and SPT cluster catalogs (Salvati+, 2022) J/ApJ/890/148 : Concentration-mass relation for XXL clusters (Umetsu+, 2020) J/ApJ/878/55 : SPT-SZ clusters with optical & X-ray data (Bocquet+, 2019) J/ApJ/785/104 : redMaPPer. I. Algorithm applied to SDSS DR8 (Rykoff+, 2014) J/ApJ/750/99 : The Pan-STARRS1 photometric system (Tonry+, 2012) J/ApJS/253/3 : Sunyaev-Zel'dovich galaxy clusters surveyed by ACT (Hilton+, 2021) J/ApJS/247/25 : The SPTpol Extended Cluster Survey (Bleem+, 2020) J/ApJS/216/27 : Galaxy clusters discovered in the SPT-SZ survey (Bleem+, 2015) J/PASJ/73/817 : Weak lensing shear-selected cluster samples (Oguri+, 2021) J/PASJ/70/S20 : HSC Wide S16A cluster catalog (Oguri+, 2018) II/349 : The Pan-STARRS release 1 (PS1) Survey - DR1 (Chambers+,2016) Byte-by-byte Description of file: table.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations -------------------------------------------------------------------------------- 1- 22 A22 --- Name The cluster name (Name) 24- 43 F20.18 --- zbest The cluster redshift the quantity in the official eFEDS catalog (ZBESTCOMB) 45- 63 F19.16 arcmin R500cL The cluster radius R500c in the LCDM cosmology (r500c_lcdm) 65- 82 F18.15 [Msun] log(M500cEL) The ensemble mass M500c,ens in the LCDM cosmology (ensemble500clcdm) 84-101 F18.15 [Msun] log(M500cML) The median of the mass posterior P(M|η,z,p) where are the best-fitting parameters in the LCDM cosmology (median500clcdm) 103-123 E21.17 [Msun] E_log(M500cML) Upper uncertainty from distribution of log (M500cML) (m500clcdmhierr) 125-145 E21.17 [Msun] e_log(M500cML) Lower uncertainty from distribution of log (M500cML) (m500clcdmloerr) 147-165 F19.16 arcmin R500cw The cluster radius R500c in the wCDM cosmology (r500c_wcdm) 167-184 F18.15 [Msun] log(M500cEw) The ensemble mass M500c,ens in the wCDM cosmology (ensemble500cwcdm) 186-203 F18.15 [Msun] log(M500cMw) The median of the mass posterior P(M|η,z,p) where are the best-fitting parameters in the wCDM cosmology (median500cwcdm) 205-225 E21.17 [Msun] E_log(M500cMw) Upper uncertainty from distribution of log (M500cMw) (m500cwcdmhierr) 227-247 E21.17 [Msun] e_log(M500cMw) Lower uncertainty from distribution of log (M500cMw) (m500cwcdmloerr) -------------------------------------------------------------------------------- History: From electronic version of the journal License: CC-BY-4.0
(End) Luc Trabelsi [CDS] 24-Jun-2026
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