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- W3102081905 abstract "We analyze quasi-2-dimensional slices of the SDSS EDR. Gaussian smoothing with weighting by the inverse of the selection function provides 2D density fields across the full survey depth. Superclusters (SC) are characterized by a percolation algorithm in the large-scale smoothed field. Group candidates are identified with density maxima in the small-scale smoothed field. The group mass function depends on the SC environmental density. We derive the shape-dependent 3-point correlation function and the void size distribution. These are well reproduced by the galaxies identified in high-resolution CDM simulations.To search for other articles by the author(s) go to: http://adsabs.harvard.edu/abstract_service.html" @default.
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- W3102081905 date "2004-03-01" @default.
- W3102081905 modified "2023-09-27" @default.
- W3102081905 title "Superclusters and voids in the Sloan DSS" @default.
- W3102081905 doi "https://doi.org/10.1017/s1743921304000079" @default.
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