Computer Science
Scientific paper
Jun 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005sptz.prop20218i&link_type=abstract
Spitzer Proposal ID #20218
Computer Science
Scientific paper
We propose a wide-field IRAC survey of the "flanking fields" of the northern Great Observatories Origins Deep Survey (GOODS) field, where we have deep optical images and have selected a sample of LBGs at z ~ 5. With IRAC we intend to wipe an about 300 sq. arcmin field with sensitivity sufficient to detect relatively bright LBGs, z(AB)< 24.5. Using LBGs' flux densities from rest-frame UV to near-infrared wavelengths we aim to constrain the star formation history of them and estimate their ages and stellar mass. Although past works using optical to near-infrared images have succeeded in depicting the history of mass assembly up to z = 3, there has never been information at z > 4. The capability of Spitizer in deep imaging at mid-IR should enable us to open the door to the higher redshift. Since our observation will increase the number of bright LBGs which must be rare in a deeper and narrower survey, it is complementary to the GOODS only with an expense of about 13 hours. From the studies we have made so far it is found that there is a hint of an evolution of LBG population from z~5 to z~3 (i.e., from the cosmic age of 2 Gyr to 1 Gyr), and the luminosity dependence ("down-sizing") in the evolution process of LBGs is suggested. So our LBG sample should provide indispensable clues to understand the evolutionary process of galaxies in the early universe. The detailed properties such as morphology, spectral features, metallicity of bright LBGs are being examined with follow-up observations. In addition, by the comparison of IRAC images and deep optical images, we will construct a large sample of luminous MIR-bright galaxies at 2.5 < z < 3.5. They would be dusty star forming galaxies and passively evolving massive galaxies undetected through Lyman break technique, and should enable us to make an unbiased view of galaxies at z~3. Since the data are for the flanking fields of a multi-band very deep survey, they should be valuable for wide range of studies.
Akiyama Masayuki
Andoh Mataka
Aoki Kentaro
Iwata Ikuru
Kiuchi Gaku
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