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Figure 1:
Stereographic projection of a transequatorial sky region
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Figure 2: Upper panel: comparison of the Poissonian distribution (solid line) and the distribution of xs (histogram) in a simulation with galaxies randomly distributed in the sky. Lower panel, as upper panel, but for actual observations: some of the nearest neighbours are physically linked (related) to the groups and produce an excess of neibourghs at small x. |
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Figure 3:
The smoothed two dimensional density map of the number density of
galaxies for a field
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Figure 4: MF of simulated (filled circles) and detected (empty squares) groups. On the horizontal axis there is the number of galaxies in each group, that is the richness. |
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Figure 5: Simulated (dots) and detected (triangles) structures. Left: groups. Right: clusters. Circles highlight simulated groups/clusters which have been detected. |
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Figure 6: The richness vs. the core radius of the simulated clusters (open circles). The crosses mark each retrieved cluster. |
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Figure 7: Cluster number in the one plate area is plotted as a function of estimated richness. The continuous histogram represents the number of clusters given in input to the simulation; the dash shaded histogram represents the retrieved clusters and the dot shaded histogram the spurious detections. The richness bin grows exponentially as 2n/2 (see Sect. 5). |
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Figure 8: Richness of the simulated vs. the detected clusters. The errors are inversely proportional to the signal to noise ratio for the detection. |
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Figure 9: The multiplicity function for galaxy structures ranging from small groups (filled triangles) to rich clusters (filled circles). We remove clusters in the richness range where detection efficiency is low. |
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Figure 10: Overplot of the MF of USGC2 groups (empty circles) on the multiplicity functions obtained from the DPOSS data. |
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