Cross-correlation of the kinematic Sunyaev-Zel’dovich effect and 21 cm intensity mapping with tidal reconstruction

Li, Dongzi; Zhu, H.; Pen, Ue-Li

doi:10.1103/physrevd.100.023517

Cited by 17 publications

(19 citation statements)

References 37 publications

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“…In particular, we will focus on the ability of the bispectrum involving one photometric galaxy sample, which contains the long-wavelength information, and two IM modes to reconstruct the redshift distributions of the photometric sample. In spirit, this is similar to the idea of tidal-mode reconstruction applied to the cross-correlation of 21-cm data with CMB lensing and the projected kinematic Sunyaev-Zel'dovich effect (Li et al 2019;Hotinli & Johnson 2020).…”

Section: Introductionmentioning

confidence: 85%

Clustering redshifts with the 21cm-galaxy cross-bispectrum

Guandalin,

Alonso,

Moodley

2021

Preprint

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The cross-correlation between 21-cm intensity mapping experiments and photometric surveys of galaxies (or any other cosmological tracer with a broad radial kernel) is severely degraded by the loss of long-wavelength radial modes due to Galactic foreground contamination. Higher-order correlators are able to restore some of these modes due to the non-linear coupling between them and the local small-scale clustering induced by gravitational collapse. We explore the possibility of recovering information from the bispectrum between a photometric galaxy sample and an intensity mapping experiment, in the context of the clustering-redshifts technique. We demonstrate that the bispectrum is able to calibrate the redshift distribution of the photometric sample to the required accuracy of future experiments such as the Rubin Observatory, using future single-dish and interferometric 21-cm observations, in situations where the two-point function is not able to do so due to foreground contamination. We also show how this calibration is affected by the photometric redshift width 𝜎 𝑧,0 and maximum scale 𝑘 max . We find that it is important to reach scales 𝑘 0.3 ℎ Mpc −1 , with the constraints saturating at around 𝑘 ∼ 1 ℎ Mpc −1 for next-generation experiments.

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Section: Introductionmentioning

confidence: 85%

Clustering redshifts with the 21cm-galaxy cross-bispectrum

Guandalin,

Alonso,

Moodley

2021

Preprint

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“…The idea of using a standard quadratic estimator in the CMB lensing form to perform this reconstruction was first proposed by [2], building on earlier work ( [3][4][5], albeit with a somewhat modified estimator). Significant further work in this area has been presented by [6][7][8][9][10]; see further discussion in Sec. V.…”

Section: Introductionmentioning

confidence: 99%

“…Galaxy and quasar surveys are affected, for example, by variations in the density of foreground stars, seeing, and galactic dust extinction (e.g., [11][12][13]), while 21 cm surveys cannot access modes with low line-of-sight wave numbers that are dominated by galactic foregrounds, and imperfect knowledge of the instrument can spread this contamination throughout a wider region of Fourier space (e.g., [14][15][16]). A method of reconstructing these inaccessible modes using correlations between smaller-scale modes will improve the constraining power of a given survey for large-scale signals such as local non-Gaussianity, and allow cross-correlations involving 21 cm surveys that would otherwise be impossible (e.g., [6]). In this paper, we parametrize large-scale systematics with a wave number K min below which the tracer modes are assumed to be inaccessible, and explore the precision with which modes with K < K min can be recovered by our estimator.…”

Section: Introductionmentioning

confidence: 99%

Density reconstruction from biased tracers and its application to primordial non-Gaussianity

et al. 2021

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Large-scale Fourier modes of the cosmic density field are of great value for learning about cosmology because of their well-understood relationship to fluctuations in the early universe. However, cosmic variance generally limits the statistical precision that can be achieved when constraining model parameters using these modes as measured in galaxy surveys, and moreover, these modes are sometimes inaccessible due to observational systematics or foregrounds. For some applications, both limitations can be circumvented by reconstructing large-scale modes using the correlations they induce between smaller-scale modes of an observed tracer (such as galaxy positions). In this paper, we further develop a formalism for this reconstruction, using a quadratic estimator similar to the one used for lensing of the cosmic microwave background. We incorporate nonlinearities from gravity, nonlinear biasing, and local-type primordial non-Gaussianity, and verify that the estimator gives the expected results when applied to N-body simulations. We then carry out forecasts for several upcoming surveys, demonstrating that, when reconstructed modes are included alongside directly observed tracer density modes, constraints on local primordial non-Gaussianity are generically tightened by tens of percents compared to standard single-tracer analyses. In certain cases, these improvements arise from cosmic variance cancellation, with reconstructed modes taking the place of modes of a separate tracer, thus enabling an effective "multitracer" approach with single-tracer observations.

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“…In 21 cm intensity mapping experiments, the radial modes on large scales can not be measured due to the continuum foreground contamination. This method enables recovery of lost radial modes in 21 cm intensity mapping surveys (Zhu et al 2018;Foreman et al 2018;Li et al 2019;Karaçaylı & Padmanabhan 2019), which is important for cross correlating 21 cm intensity fields with weak gravitational lensing, photometric galaxies, kinematic Sunyaev-Zel'dovich effect, etc (e.g. Zhu et al 2018;Li et al 2019).…”

mentioning

confidence: 99%

“…This method enables recovery of lost radial modes in 21 cm intensity mapping surveys (Zhu et al 2018;Foreman et al 2018;Li et al 2019;Karaçaylı & Padmanabhan 2019), which is important for cross correlating 21 cm intensity fields with weak gravitational lensing, photometric galaxies, kinematic Sunyaev-Zel'dovich effect, etc (e.g. Zhu et al 2018;Li et al 2019). The reconstructed field provides an independent tracer of the large-scale matter density field.…”

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confidence: 99%

Cosmic Tidal Reconstruction with Halo Fields

Zhu,

Mao,

Pen

2021

Preprint

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The gravitational coupling between large-scale perturbations and small-scale perturbations leads to anisotropic distortions of the small-scale matter distribution. The measured local small-scale power spectrum can thus be used to infer the large-scale matter distribution. In this paper, we present a new tidal reconstruction algorithm for reconstructing large-scale modes using the full three-dimensional tidal shear information. We apply it to simulated dark matter halo fields and the reconstructed largescale density field correlates well with the original matter density field on large scales, improving upon the previous tidal reconstruction method which only uses two transverse shear fields. This has profound implications for recovering lost 21 cm radial modes due to foreground subtraction and constraining primordial non-Gaussianity using the multi-tracer method with future cosmological surveys.

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Cross-correlation of the kinematic Sunyaev-Zel’dovich effect and 21 cm intensity mapping with tidal reconstruction

Cited by 17 publications

References 37 publications

Clustering redshifts with the 21cm-galaxy cross-bispectrum

Clustering redshifts with the 21cm-galaxy cross-bispectrum

Density reconstruction from biased tracers and its application to primordial non-Gaussianity

Cosmic Tidal Reconstruction with Halo Fields

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