Statistics – Computation
Scientific paper
Jan 1993
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993apj...402..398s&link_type=abstract
Astrophysical Journal, Part 1 (ISSN 0004-637X), vol. 402, no. 2, p. 398-410.
Statistics
Computation
26
Computational Astrophysics, Density Distribution, Galactic Clusters, Two Dimensional Models, Image Analysis, Monte Carlo Method, Null Hypothesis
Scientific paper
We explore the detection of substructure in the central parts of rich galaxy clusters by comparing their two-dimensional number density profiles yielded by two different methods, one sensitive and the other one insensitive to the existence of correlation in particle positions relative to the cluster background density. After checking the proposed test on Monte Carlo simulations, we apply it to real clusters corrected for field contamination. We find that about 50 percent of these systems show evidence for correlation at small scales at the 95 percent confidence level. Yet the majority of these clusters show the same density profile at low resolution, indicating that they have reached quasi-equilibrium at large scales.
González-Casado Guillermo
Salvador-Solé Eduard
Sanroma Manuel
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