Cross-correlation of the thermal Sunyaev–Zel’dovich effect and weak gravitational lensing: Planck and Subaru Hyper Suprime-Cam first-year data

Osato, Ken; Shirasaki, Masato; Miyatake, Hironao; Nagai, Daisuke; Yoshida, Naoki; Oguri, Masamune; Takahashi, Ryuichi

doi:10.1093/mnras/staa117

Cited by 48 publications

(38 citation statements)

References 91 publications

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“…The Comptony parameter is proportional to the electron pressure integrated along the line of sight, thus probing the thermal energy content of thermalized hot plasmas residing in the gravitational potential wells of galaxy clusters. The combination of the thermal SZE and weak lensing thus provides unique astrophysical and cosmological probes (e.g., Doré et al 2001;Umetsu et al 2009;Osato et al 2020).…”

Section: Critical Surface Mass Densitymentioning

confidence: 99%

Cluster–galaxy weak lensing

Umetsu

2020

Astron Astrophys Rev

111

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Weak gravitational lensing of background galaxies provides a direct probe of the projected matter distribution in and around galaxy clusters. Here, we present a self-contained pedagogical review of cluster–galaxy weak lensing, covering a range of topics relevant to its cosmological and astrophysical applications. We begin by reviewing the theoretical foundations of gravitational lensing from first principles, with a special attention to the basics and advanced techniques of weak gravitational lensing. We summarize and discuss key findings from recent cluster–galaxy weak-lensing studies on both observational and theoretical grounds, with a focus on cluster mass profiles, the concentration–mass relation, the splashback radius, and implications from extensive mass-calibration efforts for cluster cosmology.

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Section: Critical Surface Mass Densitymentioning

confidence: 99%

Cluster–galaxy weak lensing

Umetsu

2020

Astron Astrophys Rev

111

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“…It may be possible to address issues of contamination from thermal dust using the methods of Addison et al (2012Addison et al ( , 2013. More recently, the cross correlation has been measured and investigated by Baxter et al (2019) and Omori et al (2019) in the context of a cross correlation of CMB and galaxy lensing with the Dark Energy Survey, and by Osato et al (2018Osato et al ( , 2020 with the Hyper Suprime-Cam survey.…”

Section: Introductionmentioning

confidence: 99%

A hydrodynamical halo model for weak-lensing cross correlations

Mead

Tröster

Heymans

et al. 2020

A&A

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On the scale of galactic haloes, the distribution of matter in the cosmos is affected by energetic, non-gravitational processes, the so-called baryonic feedback. A lack of knowledge about the details of how feedback processes redistribute matter is a source of uncertainty for weak-lensing surveys, which accurately probe the clustering of matter in the Universe over a wide range of scales. We developed a cosmology-dependent model for the matter distribution that simultaneously accounts for the clustering of dark matter, gas, and stars. We informed our model by comparing it to power spectra measured from the BAHAMAS suite of hydrodynamical simulations. In addition to considering matter power spectra, we also considered spectra involving the electron-pressure field, which directly relates to the thermal Sunyaev-Zel’dovich (tSZ) effect. We fitted parameters in our model so that it can simultaneously model both matter and pressure data and such that the distribution of gas as inferred from tSZ has an influence on the matter spectrum predicted by our model. We present two variants, one that matches the feedback-induced suppression seen in the matter–matter power spectrum at the percent level and a second that matches the matter–matter data to a slightly lesser degree (≃2%). However, the latter is able to simultaneously model the matter–electron pressure spectrum at the ≃15% level. We envisage our models being used to simultaneously learn about cosmological parameters and the strength of baryonic feedback using a combination of tSZ and lensing auto- and cross-correlation data.

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“…Among potential studies, the cross-correlation of WL or GC with CMB lensing, which is (among other things) sensitive to the angular-diameter distance to the last-scattering surface, has been extensively explored (Holder et al 2013;Hand et al 2015;Kirk et al 2016;Baxter et al 2019). Another example can be found in cross-correlations with the thermal Sunyaev-Zeldovich (tSZ) signal, a secondary effect imprinted on top of the primordial CMB anisotropies, which has been measured with increasing precision as well (Ma et al 2015;Hojjati et al 2017;Osato et al 2020;Yan et al 2021). Additionally, several future CMB experiments such as the Simons Observatory 11 (SO, Ade et al 2019) and the socalled CMB-Stage 4 project 12 (S4, Abazajian et al 2016), are planned for the next decade and will yield highly improved highresolution measurements of the CMB intensity and polarisation.…”

Section: Introductionmentioning

confidence: 98%