![]() | Annu. Rev. Astron. Astrophys. 2000. 38:
667-715 Copyright © 2000 by Annual Reviews. All rights reserved |
4.2. Galaxy counts
One of the benefits derived from the ready availability of the reduced HDF data is that a variety of techniques have been used to catalog the sources [Williams et al. 1996, Lanzetta et al. 1996, Colley et al. 1996, Sawicki et al. 1997, Dell'Antonio & Tyson 1996, Couch 1996, Metcalfe et al. 1996, Madau & Pozzetti 2000, Chen et al. 1999, Fontana et al. 1999]. Different algorithms have been used to construct the catalogs, but all at some level rely on smoothing the image and searching for objects above a surface brightness threshold set by the background noise. [Ferguson 1998b] compared a few of the available catalogs and found reasonable agreement among them for sources brighter than V606 = 28, with systematic differences in magnitude scales of less than 0.3 (nevertheless, there are systematic differences at this level). The different catalogs apply different algorithms for splitting and merging objects with overlapping isophotes. These differences, together with the different schemes for assigning magnitudes to galaxies, result in overall differences in galaxy counts. At I814 = 26 the galaxy counts in the catalogs considered by [Ferguson 1998b] all agree to within 25%, whereas at I814 = 28 there is a factor of 1.7 difference between them. This highlights the fact that galaxy counting is not a precise science.
Figure 4 shows the counts in four photometric bands
derived from the HDF and from ground-based observations.
As a fiducial comparison, a no-evolution model is shown for a spatially
flat model with
M = 0.3
and
=
0.7. In all bands the number-magnitude relation at HDF depths is
significantly flatter than
N(m)
m0.4, but at blue wavelengths it exceeds
the purely geometrical (no-evolution) predictions by roughly a factor of 3.
Interpretation of the counts is addressed in more detail in
Section 5.1.