Cross-correlation of Planck CMB lensing with DESI-like LRGs

Kitanidis, Ellie; White, Martin

doi:10.1093/mnras/staa3927

Cited by 31 publications

(35 citation statements)

References 91 publications

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“…We choose the following parameters: effective survey volume V DESI 25.5(Gpc/h) 3 , effective redshift z eff = 0.68, shot noise nDESI g = 2 × 10 −3 h 3 /Gpc 3 , and linear bias b 1 = 1.5 (see e.g. [101]). For the scale cut, we chose k min = 0.01h Mpc −1 and k max = 0.2h Mpc −1 , as estimated in [69,102].…”

Section: Nlmentioning

confidence: 99%

Limits on primordial non-Gaussianities from BOSS galaxy-clustering data

D’Amico¹,

Lewandowski²,

Senatore³

et al. 2022

Preprint

125

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We analyze the power spectrum and the bispectrum of BOSS galaxy-clustering data using the prediction from the Effective Field Theory of Large-Scale Structure at one-loop order for both the power spectrum and the bispectrum. With ΛCDM parameters fixed to Planck preferred values, we set limits on three templates of non-Gaussianities predicted by many inflationary models: the equilateral, the orthogonal, and the local shapes. After validating our analysis against simulations, we find f equil. NL = 2 ± 212 , f orth. NL = 126 ± 72 , f loc. NL = −30 ± 29, at 68% confidence level. These bispectrum-based constraints from Large-Scale Structure, not far from the ones of WMAP, suggest promising results from upcoming surveys.

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Section: Nlmentioning

confidence: 99%

Limits on primordial non-Gaussianities from BOSS galaxy-clustering data

D’Amico¹,

Lewandowski²,

Senatore³

et al. 2022

Preprint

125

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“…The thermal Sunyaev Zel'dovich (tSZ) effect can in principle contaminate the reconstructed lensing maps and bias the lensinggalaxy cross-correlation measurement. Previous work such as (Baxter et al 2018;Kitanidis & White 2021;Dong et al 2021) do not detect significant impact of tSZ. Omori et al (2019a) constructed a lensing systematic map through the tSZ map to better quantify its impact.…”

Section: Detection Of Significant Impact Of Tszmentioning

confidence: 62%

Cross-correlation of Planck CMB lensing with DESI galaxy groups

Sun,

Yao,

Dong

et al. 2021

Preprint

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We measure the cross-correlation between galaxy groups constructed from DESI Legacy Imaging Survey DR8 (Yang et al. 2020) and Planck CMB lensing, over overlapping sky area of 16876 deg 2 . The detections are significant and consistent with the expected signal of the large scale structure of the universe, over group samples of various redshift, mass and richness 𝑁 g and over various scale cuts. The overall S/N is 39 for a conservative sample with 𝑁 g ≥ 5, and increases to 48 for the sample with 𝑁 g ≥ 2.Adopting the Planck 2018 cosmology, we constrain the density bias of groups with 𝑁 g ≥ 5 as 𝑏 g = 1.31 ± 0.10, 2.22 ± 0.10, 3.52 ± 0.20 at 0.1 < 𝑧 ≤ 0.33, 0.33 < 𝑧 ≤ 0.67, 0.67 < 𝑧 ≤ 1 respectively. The value-added group catalog allows us to detect the dependence of bias on group mass with high significance. It also allows us to compare the measured bias with the theoretically predicted one using the estimated group mass. We find excellent agreement for the two high redshift bins. However, it is lower than the theory by ∼ 3𝜎 for the lowest redshift bin. Another interesting finding is the significant impact of the thermal Sunyaev Zel'dovich (tSZ). It contaminates the galaxy group-CMB lensing cross-correlation at ∼ 30% level, and must be deprojected first in CMB lensing reconstruction.

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“…Similarly, we'll restrict our analysis to large scales (defined below), and use the linear matter power spectrum. More sophisticated modeling of non-linearities in matter and bias will be required in a more realistic analysis (see for example Modi et al (2017); Krolewski et al (2021a); Kitanidis & White (2021); Pandey et al (2021)). Following Schmittfull & Seljak (2017), we use 𝑏(𝑧) ∝ 1 + 𝑧 as our fiducial bias evolution.…”

Section: Galaxy Binningmentioning

confidence: 99%

The Physical Origin of Dark Energy Constraints from Rubin Observatory and CMB-S4 Lensing Tomography

Yu,

Ferraro,

Knight

et al. 2021

Preprint

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We seek to clarify the origin of constraints on the dark energy equation of state parameter from CMB lensing tomography, that is the combination of galaxy clustering and the cross-correlation of galaxies with CMB lensing in a number of redshift bins. In particular, we consider the two-point correlation functions which can be formed with a catalog of galaxy locations and photometric redshifts from the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) and CMB lensing maps from the CMB-S4 experiment. We focus on the analytic understanding of the origin of the constraints. Dark energy information in these data arises from the influence of three primary relationships: distance as a function of redshift (geometry), the amplitude of the power spectrum as a function of redshift (growth), and the power spectrum as a function of wavenumber (shape). We find that the effects from geometry and growth play a significant role and partially cancel each other out, while the shape effect is unimportant. We also show that Dark Energy Task Force (DETF) Figure of Merit (FoM) forecasts from the combination of LSST galaxies and CMB-S4 lensing are comparable to the forecasts from cosmic shear in the absence of the CMB lensing map, thus providing an important independent check. Compared to the forecasts with the LSST galaxies alone, combining CMB lensing and LSST clustering information (together with the primary CMB spectra) increases the FoM by roughly a factor of 3-4 in the optimistic scenario where systematics are fully under control. We caution that achieving these forecasts will likely require a full analysis of higher-order biasing, photometric redshift uncertainties, and stringent control of other systematic limitations, which are outside the scope of this work, whose primary purpose is to elucidate the physical origin of the constraints.

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Cross-correlation of Planck CMB lensing with DESI-like LRGs

Cited by 31 publications

References 91 publications

Limits on primordial non-Gaussianities from BOSS galaxy-clustering data

Limits on primordial non-Gaussianities from BOSS galaxy-clustering data

Cross-correlation of Planck CMB lensing with DESI galaxy groups

The Physical Origin of Dark Energy Constraints from Rubin Observatory and CMB-S4 Lensing Tomography

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