1998/10/03 by Jesus Pando, Jesús Pando, Pando, Jesus +3
Biochemistry, Genetics and Molecular Biology · Engineering · Medicine · Physics and Astronomy · #Astrophysics (astro-ph) #FOS: Physical sciences #Optical Coherence Tomography Applications #Optical Imaging and Spectroscopy Techniques #Spectroscopy Techniques in Biomedical and Chemical Research #astro-ph
paper · pdf · doi:10.48550/arxiv.astro-ph/9810049
Accepted by A&A
arxiv created 1998/10/03 · openalex publication_date 1998/10/03 · arxiv updated 2009/12/01 · openalex created_date 2024/04/11 · openalex updated_date 2026/07/28
We present an analysis of the non-Gaussianity in the distribution of Lyα forest lines in the QSO absorption spectra. Statistical tests performed on this data indicate that there may be large scale structure even though the power spectrum of the Lyα line distribution on large scales is found to be flat. It is apparent that higher (than two) order statistics are crucial in quantifying the clustering behavior of Lyα clouds. Using the discrete wavelet on three independent data sets of Lyα forests, we find that the distribution of Lyα forests does show non-Gaussian behavior on scales from 5 to 10 h-1 Mpc with confidence level larger than 95%. Two data sets available on large scales are found to be non-Gaussian on even larger scales. These techniques are effective in discriminating among models of the Lyα forest formation, which are degenerate at second and lower order statistics (abridged).