Reconstruction with velocities

Abstract

Reconstruction is becoming a crucial procedure of galaxy clustering analysis for future spectroscopic redshift surveys to obtain subpercent level measurement of the baryon acoustic oscillation scale. Most reconstruction algorithms rely on an estimation of the displacement field from the observed galaxy distribution. However, the displacement reconstruction degrades near the survey boundary due to incomplete data and the boundary effects extend to $\sim 100\mathrm{Mpc}/h$ within the interior of the survey volume. We study the possibility of using radial velocities measured from the cosmic microwave background observation through the kinematic Sunyaev-Zel'dovich effect to improve performance near the boundary. We find that the boundary effect can be reduced to $\sim 30-40\mathrm{Mpc}/h$ with the velocity information from Simons Observatory. This is especially helpful for dense low redshift surveys where the volume is relatively small and a large fraction of total volume is affected by the boundary.

arXiv comment12 pages, 14 figures, in press

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• Constrained realizations of 2MRS density and peculiar velocity fields: growth rate and local flow
• Observational detection of correlation between galaxy spins and initial conditions
• Baryon acoustic oscillations reconstruction using convolutional neural networks
• Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks
• Joint velocity and density reconstruction of the Universe with nonlinear differentiable forward modeling
• Iterative removal of redshift space distortions from galaxy clustering
• Biased tracer reconstruction with halo mass information
• Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms