Key points are not available for this paper at this time.
We analyze the SDSS Ly-alpha forest PF (k, z) measurement to determine the linear theory power spectrum. Our analysis is based on fully hydrodynamic simulations, extended using hydro-PM simulations. We account for the effect of absorbers with damping wings, which leads to an increase in the slope of the linear power spectrum. We break the degeneracy between the mean level of absorption and the linear power spectrum without significant use of external constraints. We infer linear theory power spectrum amplitude Delta²L (kₚ=0. 009s/km, zₚ=3. 0) =0. 452-₀. ₀₅₇-₀. ₁₁₆^+0. 069+0. 141 and slope nₑff=-2. 321-₀. ₀₄₇-₀. ₁₀₂^+0. 055+0. 131 (possible systematic errors are included through nuisance parameters in the fit - a factor >~5 smaller errors would be obtained on both parameters if we ignored modeling uncertainties). The errors are correlated and not perfectly Gaussian, so we provide a chi² table to accurately describe the results. The result corresponds to sigma₈=0. 85, n=0. 94, for a LCDM model with Omegaₘ=0. 3, Omegab=0. 04, and h=0. 7, but is most useful in a combined fit with the CMB. The inferred curvature of the linear power spectrum and the evolution of its amplitude and slope with redshift are consistent with expectations for LCDM models, with the evolution of the slope, in particular, being tightly constrained. We use this information to constrain systematic contamination, e. g. , fluctuations in the UV background. This paper should serve as a starting point for more work to refine the analysis, including technical improvements such as increasing the size and number of the hydrodynamic simulations, and improvements in the treatment of the various forms of feedback from galaxies and quasars.
McDonald et al. (Thu,) studied this question.