Document Detail

Goodness-of-Fit Analysis of Radial Velocity Surveys.
MedLine Citation:
PMID:  10828995     Owner:  NLM     Status:  Publisher    
Using eigenmode expansion of the Mark III and SFI surveys of cosmological radial velocities, a goodness-of-fit analysis is applied on a mode-by-mode basis. This differential analysis complements the Bayesian maximum likelihood analysis that finds the most probable model given the data. Analyzing the surveys with their corresponding most likely models from the CMB-like family of models, as well as with the currently popular LambdaCDM model, reveals a systematic inconsistency of the data with these "best" models. There is a systematic trend of the cumulative chi(2) to increase with the mode number (where the modes are sorted by decreasing order of the eigenvalues). This corresponds to a decrease of the chi(2) with the variance associated with a mode and hence with its effective scale. It follows that the differential analysis finds that on small (large) scales the global analysis of all the modes "puts" less (more) power than actually required by the data. This observed trend might indicate one of the following: (1) the theoretical model (i.e., power spectrum) or the error model (or both) have an excess of power on large scales, (2) velocity bias, or (3) the velocity data suffers from systematic errors that have not yet been corrected.
Hoffman; Zaroubi
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Publication Detail:
Journal Detail:
Title:  The Astrophysical journal     Volume:  535     ISSN:  0004-637X     ISO Abbreviation:  Astrophys. J.     Publication Date:  2000 May 
Date Detail:
Created Date:  2000-05-30     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9890633     Medline TA:  Astrophys J     Country:  -    
Other Details:
Languages:  ENG     Pagination:  L5-L8     Citation Subset:  -    
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