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- W2892986405 abstract "A new fully non-linear reconstruction algorithm for the accurate recovery of the baryonic acoustic oscillations (BAO) scale in two-point correlation functions is proposed, based on the least action principle and extending the Fast Action Minimisation method by Nusser & Branchini (2000). Especially designed for massive spectroscopic surveys, it is tested on dark matter halo catalogues extracted from the deus-fur Lambda cold dark matter simulation (Reverdy et al. 2015) to trace the trajectories of up to |${sim }207, 000$| haloes backward in time, well beyond the first-order Lagrangian approximation. The new algorithm successfully recovers the BAO feature in real and redshift space in both the monopole and the anisotropic two-point correlation function, also for anomalous samples showing misplaced or absent signature of BAO. In redshift space, the non-linear displacement parameter ΣNL is reduced from |$11.8pm 0.3, h^{-1}$| Mpc at redshift |$z$| = 0 to |$4.0pm 0.5, h^{-1}$| Mpc at |$z$| ≃ 37 after reconstruction. A comparison with the first-order Lagrangian reconstruction is presented, showing that these techniques outperform the linear approximation in recovering an unbiased measurement of the acoustic scale." @default.
- W2892986405 created "2018-10-05" @default.
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- W2892986405 date "2019-01-25" @default.
- W2892986405 modified "2023-09-25" @default.
- W2892986405 title "BAO reconstruction: a swift numerical action method for massive spectroscopic surveys" @default.
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- W2892986405 doi "https://doi.org/10.1093/mnras/stz278" @default.
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