Power Spectrum Forecasts for Lyα Forest Baryon Acoustic Oscillation Experiments Using a GPU Based Semi-Analytical Model

Details Power Spectrum Forecasts for Lyα Forest Baryon Acoustic Oscillation Experiments Using a GPU Based Semi-Analytical Model Power Spectrum Forecasts for Lyα Forest Baryon Acoustic Oscillation Experiments Using a GPU Based Semi-Analytical Model

Jan 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21933604g&link_type=abstract

American Astronomical Society, AAS Meeting #219, #336.04

Computer Science

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Scientific paper

High redshift measurements of the baryonic acoustic oscillation scale (BAO) from large Lyα forest surveys represent the next frontier of dark energy studies. As part of this effort, efficient simulations of the BAO signature from the Lyα forest will be required. We present a calibrated semi-analytical method for producing very large simulations equivalent in size and resolution to the largest N-body simulations, but generated in less than a day on a single desktop PC. The efficiency of our simulations is obtained by utilising a single graphics processing unit (GPU). The Lyα forest spectra extracted from our simulations are in excellent agreement with both hydrodynamical simulations and are in broad agreement with observational measurements. We correctly extract the input BAO scale from the 3D Lyα forest power spectrum, and estimate that for a BOSS-like 10,000 square degree survey with ∼15 background sources per square degree and a S/N of ∼ 5 per pixel should achieve an accuracy of 1.4% on the measurement of the BAO scale. The speed and flexibility of our approach is well suited for exploring parameter space and the impact of observational and astrophysical systematics on the recovery of the BAO signature from forthcoming large scale spectroscopic surveys.

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