Primordial density and BAO reconstruction

Abstract

We present a new method to reconstruct the primordial (linear) density field using the estimated nonlinear displacement field. The divergence of the displacement field gives the reconstructed density field. We solve the nonlinear displacement field in the 1D cosmology and show the reconstruction results. The new reconstruction algorithm recovers a lot of linear modes and reduces the nonlinear damping scale significantly. The successful 1D reconstruction results imply the new algorithm should also be a promising technique in the 3D case.

5 pages, 6 figures

Cited by in corpus (9)

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• Nonlinear reconstruction
• Halo nonlinear reconstruction
• Baryon acoustic oscillations reconstruction using convolutional neural networks
• Nonlinear reconstruction of redshift space distortions
• Increasing Fisher Information by Moving-Mesh Reconstruction
• Nonlinear $E$-mode clustering in Lagrangian space
• Modeling iterative reconstruction and displacement field in the large scale structure
• Searching optimal scales for reconstructing cosmological initial conditions using convolutional neural networks