The HST Medium-Deep Survey: Limits to galaxy clustering evolution from deep WFC images

Details The HST Medium-Deep Survey: Limits to galaxy clustering evolution from deep WFC images The HST Medium-Deep Survey: Limits to galaxy clustering evolution from deep WFC images

Dec 1992

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992aas...181.4502n&link_type=abstract

American Astronomical Society, 181st AAS Meeting, #45.02; Bulletin of the American Astronomical Society, Vol. 24, p.1191

Astronomy and Astrophysics

Astronomy

1

Scientific paper

As part of the HST Medium-Deep Survey (MDS), we measured the faint galaxy angular two-point correlation function in two Wide-Field Camera V and I images taken in parallel. The deepest images were obtained in the I-band, taking advantage of the fact that the HST sky-background in I is ~ 3 mag darker than from the ground. Multiple orbit exposures total 29000 sec in I for one of the fields, and allowed us to detect objects down to I =~ 26 mag. By matching with V-band images, a more reliable sub-sample of galaxies detected in both V and I could be constructed. Objects were detected with the FOCAS algorithm after convolving the summed exposures to 0.5" FWHM, to increase sensitivity to low surface-brightness objects, as the WFC images are substantially read-noise limited (unlike ground-based CCD data). All objects with flux >= 5sigma above the local sky-background and larger than 0.6 arcsec(2) were included. Down to the faintest fluxes, integral surface densities ~ 4*E(5) objects/degree(2) for objects matched in both V and I were not uncommon. The main conclusion drawn from the correlation functions of both fields is that clustering evolution has occured only weakly out to redshifts of order unity. The amplitude of the correlation functions becomes less than 0.5% at 1' scales, dropping with apparent magnitude almost as fast as in shallower survey regions. The observed amplitudes are consistent with faint galaxy luminosity evolution but are marginally inconsistent with large scale clustering evolution. These results will be compared with angular correlation functions derived from ground-based data.

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