The three-year shear catalog of the Subaru Hyper Suprime-Cam SSP Survey

Li, Xiangchong; Miyatake, Hironao; Luo, Wentao; More, Surhud; Oguri, Masamune; Hamana, Takashi; Mandelbaum, Rachel; Shirasaki, Masato; Takada, Masahiro; Armstrong, Robert; Kannawadi, Arun; Takita, Satoshi; Miyazaki, Satoshi; Nishizawa, Atsushi J.; Malagón, Andrés A. Plazas; Strauss, Michael A.; Tanaka, Masayuki; Yoshida, Naoki

doi:10.48550/arxiv.2107.00136

Cited by 10 publications

(17 citation statements)

References 45 publications

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“…Such effects would cross boundaries of data sets and modeling approaches, and it would be very significant for cluster cosmology if we could point to a single cause that can explain the consistent disagreement between multiple cluster cosmology results and existing CMB/LSS cosmology constraints. The use of shape measurements from the Hyper Suprime-Cam SSP (HSC) survey (Li et al 2021) may become particularly useful in investigating these effects. The HSC data overlaps with the SDSS RM footprint, but has significantly deeper photometry and better image quality than the SDSS source catalog, enabling source galaxy selections more robust to effects such as intrinsic alignments or source-cluster member confusion.…”

Section: Summary and Discussionmentioning

confidence: 99%

Cluster cosmology with anisotropic boosts: Validation of a novel forward modeling analysis and application on SDSS redMaPPer clusters

Park¹,

Sunayama²,

Takada³

et al. 2021

Preprint

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We present a novel analysis for cluster cosmology that fully forward models the abundances, weak lensing, and the clustering of galaxy clusters. Our analysis notably includes an empirical model for the anisotropic boosts impacting the lensing and clustering signals of optical clusters. These boosts arise from a preferential selection of clusters surrounded by anisotropic large scale structure, a consequence of the limited discrimination between line-of-sight interlopers and true cluster members offered by photometric surveys. We validate our analysis via a blind cosmology challenge on mocks, and find that we can obtain tight and unbiased cosmological constraints without informative priors or external calibrations on any of our model parameters.We then apply our analysis on the SDSS redMaPPer clusters, and find results favoring low Ω m and high 𝜎 8 , combining to yield the lensing strength constraint 𝑆 8 = 0.718 +0.016 −0.015 . We investigate potential drivers behind these results through a series of post-unblinding tests, noting that our results are consistent with existing cluster cosmology constraints but clearly inconsistent with other CMB/LSS based cosmology results. From these tests, we find hints that a suppression in the cluster lensing signal may be driving our results.

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Section: Summary and Discussionmentioning

confidence: 99%

Cluster cosmology with anisotropic boosts: Validation of a novel forward modeling analysis and application on SDSS redMaPPer clusters

Park¹,

Sunayama²,

Takada³

et al. 2021

Preprint

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“…Therefore, our HSC-Y1 analysis has comparable constraining power to DES-Y1. We expect the cosmological parameter constraints to tighten significantly due to the larger area coverage of subsequent HSC datasets [123] and by further combining the cosmic shear information with the joint-probe measurements in this paper, i.e., 3×2pt cosmology (see below for further discussion).…”

Section: Comparison With Other Weak Lensing Surveysmentioning

confidence: 92%

Cosmological inference from the emulator based halo model II: Joint analysis of galaxy-galaxy weak lensing and galaxy clustering from HSC-Y1 and SDSS

Miyatake¹,

Sugiyama²,

Takada³

et al. 2021

Preprint

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We present high-fidelity cosmology results from a blinded joint analysis of galaxy-galaxy weak lensing (∆Σ) and projected galaxy clustering (wp) measured from the Hyper Suprime-Cam Year-1 (HSC-Y1) data and spectroscopic Sloan Digital Sky Survey (SDSS) galaxy catalogs in the redshift range 0.15 < z < 0.7. We define luminosity-limited samples of SDSS galaxies to serve as the tracers of wp in three spectroscopic redshift bins, and as the lens samples for ∆Σ. For the ∆Σ measurements, we select a single sample of 4 million source galaxies over 140 deg 2 from HSC-Y1 with photometric redshifts (photo-z) greater than 0.75, enabling a better handle of photo-z errors by comparing the ∆Σ amplitudes for the three lens redshift bins. The deep, high-quality HSC-Y1 data enable significant detections of the ∆Σ signals, with integrated signal-to-noise ratio S/N ∼ 15 in the range 3 ≤ R/[h −1 Mpc] ≤ 30 for the three lens samples, despite the small area coverage. For cosmological parameter inference, we use an input galaxy-halo connection model built on the Dark

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“…We measure average weak-lensing (WL) masses of blue clusters using a method of Point Spread Function (PSF) correction known as re-Gaussianization (Hirata & Seljak 2003), which is implemented in the HSC pipeline (see details in Mandelbaum et al 2018) We refer to the three-year shape catalog (Li et al 2021), and use only galaxies that satisfy full-color and full-depth condition from the HSC galaxy catalog to achieve both precise shape measurement and photometric redshift estimation. The number of the blue clusters of which mass can be measured is 41 out of 43.…”

Section: Weak-lensing Mass Measurementmentioning

confidence: 99%

“…Similarly, the sample for the 50 CAMIRA clusters with Xray counterparts in the XXL and XMM-LSS fields (Oguri et al 2018;Clerc et al 2014;Pacaud et al 2016;Giles et al 2016) was subdivided into five by richness class (i.e., 10-19, 19-25, 25-35, 35-50, and 50-). Excluding one cluster for which the shape catalog was unavailable because it lay near the edge of the survey field (Li et al 2021), we used 49 CAMIRA clusters in the analysis. The luminosities were measured in different radii (1 Mpc/R500 for the blue clusters/the CAMIRA clusters), but we plotted their values without correction because X-ray emission was not significant outside R500 ∼ 1 in the blue clusters (figure 5).…”

Section: Relation Between X-ray Luminosity and Massmentioning

confidence: 99%

Do blue galaxy-clusters have hot intracluster gas?

Misato,

Toba,

Ota

et al. 2022

Preprint

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We present herein a systematic X-ray analysis of blue galaxy-clusters at z = 0.84 discovered by the Subaru telescope. The sample consisted of 43 clusters identified by combining redsequence and blue-cloud surveys, covering a wide range of emitter fractions (i.e., 0.3-0.8). The spatial extent of the over-density region of emitter galaxies was approximately 1 Mpc in radius. The average cluster mass was estimated as 0.6(< 1.5) × 10 14 M from the stacked weaklensing measurement. We analyzed the XMM-Newton archival data, and measured the X-ray luminosity of the hot intracluster medium. As a result, diffuse X-ray emission was marginally detected in 14 clusters, yielding an average luminosity of 5 × 10 42 erg s −1 . On the contrary, it was not significant in 29 clusters. The blue clusters were significantly fainter than the reddominated clusters, and the X-ray luminosity did not show any meaningful correlation either with emitter fraction or richness. The X-ray surface brightness was low, but the amount of gas mass was estimated to be comparable to that observed in the 10 13−14 M cluster. Based on

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The three-year shear catalog of the Subaru Hyper Suprime-Cam SSP Survey

Cited by 10 publications

References 45 publications

Cluster cosmology with anisotropic boosts: Validation of a novel forward modeling analysis and application on SDSS redMaPPer clusters

Cluster cosmology with anisotropic boosts: Validation of a novel forward modeling analysis and application on SDSS redMaPPer clusters

Cosmological inference from the emulator based halo model II: Joint analysis of galaxy-galaxy weak lensing and galaxy clustering from HSC-Y1 and SDSS

Do blue galaxy-clusters have hot intracluster gas?

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