Literature DB >> 29628519

STRUCTURE IN THE 3D GALAXY DISTRIBUTION: III. FOURIER TRANSFORMING THE UNIVERSE: PHASE AND POWER SPECTRA.

Jeffrey D Scargle1,2,3,4, M J Way2,3, P R Gazis4.   

Abstract

We demonstrate the effectiveness of a relatively straightforward analysis of the complex 3D Fourier transform of galaxy coordinates derived from redshift surveys. Numerical demonstrations of this approach are carried out on a volume-limited sample of the Sloan Digital Sky Survey redshift survey. The direct unbinned transform yields a complex 3D data cube quite similar to that from the Fast Fourier Transform (FFT) of finely binned galaxy positions. In both cases deconvolution of the sampling window function yields estimates of the true transform. Simple power spectrum estimates from these transforms are roughly consistent with those using more elaborate methods. The complex Fourier transform characterizes spatial distributional properties beyond the power spectrum in a manner different from (and we argue is more easily interpreted than) the conventional multi-point hierarchy. We identify some threads of modern large scale inference methodology that will presumably yield detections in new wider and deeper surveys.

Keywords:  cosmology: large-scale structure of universe; galaxies: clusters: general

Year:  2017        PMID: 29628519      PMCID: PMC5882497          DOI: 10.3847/1538-4357/aa692d

Source DB:  PubMed          Journal:  Astrophys J        ISSN: 0004-637X            Impact factor:   5.874


  4 in total

1.  Characterizing the nonlinear growth of large-scale structure in the Universe

Authors: 
Journal:  Nature       Date:  2000-07-27       Impact factor: 49.962

2.  Simulations of the formation, evolution and clustering of galaxies and quasars.

Authors:  Volker Springel; Simon D M White; Adrian Jenkins; Carlos S Frenk; Naoki Yoshida; Liang Gao; Julio Navarro; Robert Thacker; Darren Croton; John Helly; John A Peacock; Shaun Cole; Peter Thomas; Hugh Couchman; August Evrard; Jörg Colberg; Frazer Pearce
Journal:  Nature       Date:  2005-06-02       Impact factor: 49.962

3.  Higher criticism thresholding: Optimal feature selection when useful features are rare and weak.

Authors:  David Donoho; Jiashun Jin
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-24       Impact factor: 11.205

4.  Independent component analysis: recent advances.

Authors:  Aapo Hyvärinen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-31       Impact factor: 4.226

  4 in total

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