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29 March 2024 |
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The Lyman-alpha Forest Power Spectrum from the Sloan Digital Sky Survey | Patrick McDonald
; Uros Seljak
; Scott Burles
; David J. Schlegel
; David H. Weinberg
; David Shih
; Joop Schaye
; Donald P. Schneider
; J. Brinkmann
; Robert J. Brunner
; Masataka Fukugita
; | Date: |
3 May 2004 | Subject: | astro-ph | Abstract: | We measure the power spectrum, P_F(k,z), of the transmitted flux in the Ly-alpha forest using 3035 high redshift quasar spectra from the Sloan Digital Sky Survey. This sample is almost two orders of magnitude larger than any previously available data set, yielding statistical errors of ~0.6% and ~0.005 on, respectively, the overall amplitude and logarithmic slope of P_F(k,z). This unprecedented statistical power requires a correspondingly careful analysis of the data and of possible systematic contaminations in it. For this purpose we reanalyze the raw spectra to make use of information not preserved by the standard pipeline. We investigate the details of the noise in the data, resolution of the spectrograph, sky subtraction, quasar continuum, and metal absorption. We find that background sources such as metals contribute significantly to the total power and have to be subtracted properly. We also find clear evidence for SiIII correlations with the Ly-alpha forest and suggest a simple model to account for this contribution to the power. While it is likely that our newly developed analysis technique does not eliminate all systematic errors in the P_F(k,z) measurement below the level of the statistical errors, our tests indicate that any residual systematics in the analysis are unlikely to affect the inference of cosmological parameters from P_F(k,z). These results should provide an essential ingredient for all future attempts to constrain modeling of structure formation, cosmological parameters, and theories for the origin of primordial fluctuations. | Source: | arXiv, astro-ph/0405013 | Services: | Forum | Review | PDF | Favorites |
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