Combining Planck and SPT Cluster Catalogs: Cosmological Analysis and Impact on the Planck Scaling Relation Calibration

Salvati, L.; Saro, A.; Bocquet, S.; Costanzi, M.; Ansarinejad, Behzad; Benson, B. A.; Bleem, L. E.; Calzadilla, Michael S.; Carlstrom, J. E.; Chang, C. L.; Chown, R.; Crites, A. T.; Haan, T. de; Dobbs, M.; Everett, W.; Floyd, Benjamin; Grandis, S.; George, E. M.; Halverson, N. W.; Holder, G. P.; Holzapfel, W. L.; Hrubes, J. D.; Lee, A.T.; Luong-Van, D.; McDonald, Michael; McMahon, Jeff; Meyer, S. S.; Millea, M.; Mocanu, L. M.; Mohr, J. J.; Natoli, T.; Omori, Y.; Padin, S.; Pryke, C.; Reichardt, C. L.; Ruhl, J. E.; Ruppin, F.; Schaffer, K. K.; Schrabback, T.; Shirokoff, E.; Staniszewski, Z.; Stark, A. A.; Vieira, J. D.; Williamson, A. R.

doi:10.3847/1538-4357/ac7ab4

Cited by 19 publications

(7 citation statements)

References 60 publications

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“…Regarding the Planck mass estimates derived from galaxy weak lensing, we found a 1σ agreement with Weighting the Giants (WtG; von der Linden et al 2014) (MENeaCS+CCCP; Herbonnet et al 2020), and with the result obtained from CMB lensing by Planck Collaboration XXIV (2016). When comparing our results to other analyses based on cluster counts, we found a 1σ agreement with Zubeldia & Challinor (2019), Salvati et al (2019), andSalvati et al (2022). Concerning the results derived from the power spectra of the Planck thermal Sunyaev-Zeldovich effect, our constraint is in agreement within 1σ with Makiya et al (2018) and Ibitoye et al (2022).…”

Section: Constraint On B Szsupporting

confidence: 82%

“…As many observational studies claimed the presence of a redshift dependence of the hydrostatic bias (Smith et al 2016;Sereno & Ettori 2017;Salvati et al 2019Salvati et al , 2022Wicker et al 2022), we investigated this possibility by expressing b SZ as follows:…”

Section: Constraint On B Szmentioning

confidence: 99%

“…It turns out that our analysis does not constrain ζ, implying that it is not necessary to explain our data. We stress that the redshift dependence of b SZ was derived from cluster statistics only in the case of a strong prior on the total value of b SZ , with a significant dependence on the sample (Salvati et al 2019(Salvati et al , 2022Wicker et al 2022).…”

Section: Constraint On B Szmentioning

confidence: 99%

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Mass bias and cosmological constraints from Planck cluster clustering

Lesci¹,

Veropalumbo²,

Sereno³

et al. 2023

Preprint

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Aims. We analysed the 3D clustering of the Planck sample of Sunyaev-Zeldovich (SZ) selected galaxy clusters, focusing on the redshift-space two-point correlation function (2PCF). We compared our measurements to theoretical predictions of the standard Λ cold dark matter (ΛCDM) cosmological model, deriving an estimate of the Planck mass bias, b SZ , and cosmological parameters. Methods. We measured the 2PCF of the sample in the cluster-centric radial range r ∈ [10, 150] h −1 Mpc, considering 920 galaxy clusters with redshift z ≤ 0.8. A Markov chain Monte Carlo analysis has been performed to constrain b SZ , assuming priors on cosmological parameters from Planck Cosmic Microwave Background (CMB) results. We also adopted priors on b SZ from external data sets to constrain the cosmological parameters Ω m and σ 8 . Results. We obtained (1 − b SZ ) = 0.62 +0.14 −0.11 , which is in agreement with the value required to reconcile primary CMB and cluster count observations. By adopting priors on (1 − b SZ ) from external data sets, we derived results on Ω m that are fully in agreement and competitive, in terms of uncertainties, with those derived from cluster counts. This confirms the importance of including clustering in cosmological studies, in order to fully exploit the information from galaxy cluster statistics. On the other hand, we found that σ 8 is not constrained.

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Section: Constraint On B Szsupporting

confidence: 82%

Section: Constraint On B Szmentioning

confidence: 99%

Section: Constraint On B Szmentioning

confidence: 99%

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Mass bias and cosmological constraints from Planck cluster clustering

Lesci¹,

Veropalumbo²,

Sereno³

et al. 2023

Preprint

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“…Today, it is routinely used in astrophysics to learn about the thermodynamics of the ICM and CGM [see, e.g., 7-10, for recent analyses] and the distribution of matter in clusters [e.g., [11][12][13] and filaments [e.g., [14][15][16][17]. In addition, owing to the success of recent CMB instruments in producing wide-area and high-resolution multi-frequency CMB maps -such as Planck [18][19][20], the Atacama Cosmology Telescope [ACT; 21,22] and the South Pole Telescope [SPT; 23,24] -the tSZ effect is becoming a competitive low-redshift cosmological probe, via the power spectrum and bispectrum of the Compton-y field [e.g., [25][26][27][28][29][30][31][32], tSZ cluster abundance [e.g., [33][34][35][36][37][38][39], and cross-correlations with galaxy and weak lensing surveys [e.g., [40][41][42][43][44].…”

Section: Jcap03(2023)039 1 Introductionmentioning

confidence: 99%

Projected-field kinetic Sunyaev-Zel'dovich Cross-correlations: halo model and forecasts

Bolliet

Hill

Ferraro

et al. 2023

J. Cosmol. Astropart. Phys.

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The kinetic Sunyaev-Zel'dovich (kSZ) effect, i.e., the Doppler boost of cosmic microwave background (CMB) photons caused by their scattering off free electrons in galaxy clusters and groups with non-zero bulk velocity, is a powerful window on baryons in the universe. We present the first halo-model computation of the cross-power spectrum of the “projected-field” kSZ signal with large-scale structure (LSS) tracers. We compare and validate our calculations against previous studies, which relied on N-body-calibrated effective formulas rather than the halo model. We forecast results for CMB maps from the Atacama Cosmology Telescope (AdvACT), Simons Observatory (SO), and CMB-S4, and LSS survey data from the Dark Energy Survey, the Vera C. Rubin Observatory (VRO), and Euclid. In cross-correlation with galaxy number density, for AdvACT × unWISE we forecast an 18σ projected-field kSZ detection using data already in hand. Combining SO CMB maps and unWISE galaxy catalogs, we expect a 62σ detection, yielding precise measurements of the gas density profile radial slopes. Additionally, we forecast first detections of the kSZ — galaxy weak lensing cross-correlation with AdvACT × VRO/Euclid (at 6σ) and of the kSZ — CMB weak lensing cross-correlation with SO (at 16σ). Finally, ≈ 10-20% precision measurements of the shape of the gas density profile should be possible with CMB-S4 kSZ — CMB lensing cross-correlation without using any external datasets.

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“…V 2013;Planck Collaboration XXVII 2016). Works exist in the literature that build cluster catalogues from the combination of Planck and SPT data (Melin et al 2021;Salvati et al 2022). Other works (Aghanim et al 2019;Pointecouteau et al 2021) show how to combine Planck observations with data from the Atacama Cosmology Telescope and measure the pressure profile on a sample of clusters.…”

Section: Introductionmentioning

confidence: 99%

CHEX-MATE: Pressure profiles of six galaxy clusters as seen by SPT and Planck

Oppizzi

Luca

Bourdin

et al. 2023

A&A

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Context. Pressure profiles are sensitive probes of the thermodynamic conditions and the internal structure of galaxy clusters. The intra-cluster gas resides in hydrostatic equilibrium within the dark-matter gravitational potential. However, this equilibrium may be perturbed; for example, as a consequence of thermal energy losses, feedback, and non-thermal pressure supports. Accurate measures of the gas pressure over cosmic time are crucial for constraining cluster evolution as well as the contributions from astrophysical processes. Aims. In this work we present a novel algorithm for deriving the pressure profiles of galaxy clusters from the Sunyaev-Zeldovich (SZ) signal measured on a combination of Planck and South Pole Telescope (SPT) observations. The synergy of the two instruments makes it possible to track the profiles on a wide range of spatial scales. We exploited the sensitivity of the Planck High-Frequency Instrument to the larger scales in order to observe the faint peripheries, and took advantage of the higher spatial resolution of SPT to solve the innermost regions. Methods. We developed a two-step pipeline to take advantage of the specifications of each instrument. We first performed a component separation on the two data sets separately in order to remove the background (CMB) and foreground (Galactic emission) contaminants. We then jointly fitted a parametric pressure profile model on a combination of Planck and SPT data. Results. We validated our technique on a sample of six CHEX-MATE clusters detected by SPT. We compare the results of the SZ analysis with profiles derived from X-ray observations with XMM-Newton. We find excellent agreement between these two independent probes of the gas pressure structure.

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Combining Planck and SPT Cluster Catalogs: Cosmological Analysis and Impact on the Planck Scaling Relation Calibration

Cited by 19 publications

References 60 publications

Mass bias and cosmological constraints from Planck cluster clustering

Mass bias and cosmological constraints from Planck cluster clustering

Projected-field kinetic Sunyaev-Zel'dovich Cross-correlations: halo model and forecasts

CHEX-MATE: Pressure profiles of six galaxy clusters as seen by SPT and Planck

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