Probing Hierarchical Clustering by Scale‐Scale Correlations of Wavelet Coefficients
Author(s) -
Jesús Pando,
P. Lipa,
Martin Greiner,
LiZhi Fang
Publication year - 1998
Publication title -
the astrophysical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.376
H-Index - 489
eISSN - 1538-4357
pISSN - 0004-637X
DOI - 10.1086/305386
Subject(s) - halo , scale (ratio) , dark matter , cluster analysis , statistical physics , qsos , hierarchical clustering , astrophysics , wavelet , physics , computer science , redshift , artificial intelligence , galaxy , quantum mechanics
It is of fundamental importance to determine if and how hierarchicalclustering is involved in large-scale structure formation of the universe.Hierarchical evolution is characterized by rules which specify how dark matterhalos are formed by the merging of halos at smaller scales. We show thatscale-scale correlations of the matter density field are direct and sensitivemeasures to quantify this merging tree. Such correlations are most convenientlydetermined from discrete wavelet transforms. Analyzing two samples of Ly-alphaforests of QSO's absorption spectra, we find significant scale-scalecorrelations whose dependence is typical for a branching process. Therefore,models which predict a "history" independent evolution are ruled out and thehalos hosting the Ly-alpha clouds must have gone through a "history" dependentmerging process during their formation.Comment: 10 pages, 1 ps figure included. Uses AAS Latex macros. Accpeted in the Astrophysical Journa
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