Baryon Acoustic Oscillations Analysis Techniques

Statistics – Other Statistics

Scientific paper

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Scientific paper

We present a new statistic ωl(rs) for analyzing the Baryon Acoustic Oscillations (BAO) which involves a weighted integral over the power spectrum or correlation function. This effectively filters P(k) or ξ(r) to extract the embedded acoustic information. The form of the weighting function lends nice properties to ωl giving it key advantages over the other statistics. We also present techniques for analyzing mock catalogues including a method for deriving a covariance matrix using the mock data. We illustrate this process using SDSS DR7 mocks produced from the LasDamas simulations and use the resulting covariance matrix to demonstrate the robustness of a basic fitting form for measuring the BAO scale.

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