Abstract
view Abstract Citations (82) References (22) Co-Reads Similar Papers Volume Content Graphics Metrics Export Citation NASA/ADS A maximum likelihood method for determining the distribution of galaxies in clusters Sarazin, C. L. Abstract A maximum likelihood method is proposed for the analysis of the projected distribution of galaxies in clusters. It has many advantages compared to the standard method; principally, it does not require binning of the galaxy positions, applies to asymmetric clusters, and can simultaneously determine all cluster parameters. A rapid method of solving the maximum likelihood equations is given which also automatically gives error estimates for the parameters. Monte Carlo tests indicate this method applies even for rather sparse clusters. The Godwin-Peach data on the Coma cluster are analyzed; the core sizes derived agree reasonably with those of Bahcall. Some slight evidence of mass segregation is found. Publication: The Astrophysical Journal Pub Date: February 1980 DOI: 10.1086/157720 Bibcode: 1980ApJ...236...75S Keywords: Galactic Clusters; Maximum Likelihood Estimates; Spatial Distribution; Statistical Analysis; Astronomical Models; Error Analysis; Monte Carlo Method; Subroutines; Astrophysics full text sources ADS | data products NED (1)
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