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2015

Eulerian BAO Reconstructions and N-Point Statistics

Schmittfull, Marcel, Feng, Yu, Beutler, Florian et al.

Understand

As galaxy surveys begin to measure the imprint of baryonic acoustic oscillations (BAO) on large-scale structure at the sub-percent level, reconstruction techniques that reduce the contamination from nonlinear clustering become increasingly important.

Inverting the nonlinear continuity equation, we propose an Eulerian growth-shift reconstruction algorithm that does not require the displacement of any objects, which is needed for the standard Lagrangian BAO reconstruction algorithm.
In real-space DM-only simulations the algorithm yields 95% of the BAO signal-to-noise obtained from standard reconstruction.
The reconstructed power spectrum is obtained by adding specific simple 3- and 4-point statistics to the pre-reconstruction power spectrum, making it very transparent how additional BAO information from higher-point statistics is included in the power spectrum through the reconstruction process.