SIMBAD references

2013ApJS..209....6I - Astrophys. J., Suppl. Ser., 209, 6 (2013/November-0)

The HST eXtreme deep field (XDF): combining all ACS and WFC3/IR data on the HUDF region into the deepest field ever.

ILLINGWORTH G.D., MAGEE D., OESCH P.A., BOUWENS R.J., LABBE I., STIAVELLI M., VAN DOKKUM P.G., FRANX M., TRENTI M., CAROLLO C.M. and GONZALEZ V.

Abstract (from CDS):

The eXtreme Deep Field (XDF) combines data from 10 years of observations with the Hubble Space Telescope Advanced Camera for Surveys (ACS) and the Wide-Field Camera 3 Infra-Red (WFC3/IR) into the deepest image of the sky ever in the optical/near-IR. Since the initial observations of the Hubble Ultra-Deep Field (HUDF) in 2003, numerous surveys and programs, including supernovae follow-up, HUDF09, CANDELS, and HUDF12, have contributed additional imaging data across this region. However, these images have never been combined and made available as one complete ultra-deep image dataset. We combine them now with the XDF program. Our new and improved processing techniques provide higher quality reductions of the total dataset. All WFC3/IR and optical ACS data sets have been fully combined and accurately matched, resulting in the deepest imaging ever taken at these wavelengths, ranging from 29.1 to 30.3 AB mag (5σ in a 0.''35 diameter aperture) in 9 filters. The combined image therefore reaches to 31.2 AB mag 5σ (32.9 at 1σ) for a flat f νsource. The gains in the optical for the four filters done in the original ACS HUDF correspond to a typical improvement of 0.15 mag, with gains of 0.25 mag in the deepest areas. Such gains are equivalent to adding ∼130 to ∼240 orbits of ACS data to the HUDF. Improved processing alone results in a typical gain of ∼0.1 mag. Our 5σ (optical+near-IR) SExtractor catalogs reveal about 14,140 sources in the full field and about 7121 galaxies in the deepest part of the XDF.

Abstract Copyright:

Journal keyword(s): cosmology: observations - galaxies: abundances - galaxies: high-redshift - techniques: image processing

Simbad objects: 4

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