Efficient Reconstruction of Linear Baryon Acoustic Oscillations in Galaxy Surveys
Angela Burden, Will J. Percival, Marc Manera, Antonio J. Cuesta,, Mariana Vargas Magana, Shirley Ho

TL;DR
This paper evaluates the efficiency of a standard BAO reconstruction algorithm in galaxy surveys, analyzing how various assumptions and external factors affect the sharpening of the BAO signal for improved cosmological measurements.
Contribution
It provides a detailed practical assessment of the BAO reconstruction technique, exploring its dependence on parameters and survey conditions using mock catalogues.
Findings
Reconstruction effectiveness varies with bulk-flow scale assumptions.
Galaxy density and survey volume impact reconstruction efficiency.
Edge effects influence the accuracy of BAO feature recovery.
Abstract
Reconstructing an estimate of linear Baryon Acoustic Oscillations (BAO) from an evolved galaxy field has become a standard technique in recent analyses. By partially removing non-linear damping caused by bulk motions, the real-space BAO peak in the correlation function is sharpened, and oscillations in the power spectrum are visible to smaller scales. In turn these lead to stronger measurements of the BAO scale. Future surveys are being designed assuming that this improvement has been applied, and this technique is therefore of critical importance for future BAO measurements. A number of reconstruction techniques are available, but the most widely used is a simple algorithm that decorrelates large-scale and small-scale modes approximately removing the bulk-flow displacements by moving the overdensity field (Eisenstein et al. 2007; Padmanabhan, White & Cohn 2009). We consider the…
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