Mathematics – Logic
Scientific paper
Jul 1999
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999hst..prop.8357w&link_type=abstract
HST Proposal ID #8357
Mathematics
Logic
Hst Proposal Id #8357 Distant Galaxies
Scientific paper
We propose to investigate the observed infrared morphology of 10^4 faint galaxies at intermediate to high redshifts observed in 160 shallow-deep NICMOS H-band images, which sample the restframe optical. Artificial Neural Networks that are well trained on lower redshift WFPC2 BVRI images will provide reliable classifications for H 26.5-27 mag. We will then address the following science goals: noindent {1} Determine the galaxy counts as as function of accurately determined morphological type, providing strong constraints on galaxy evolution models well beyond levels where these can be measured spectroscopically from the ground; noindent {2} Measure the epoch and type-dependent luminosity distribution N{z, mag, type} in the multicolor HDF images, which will directly constrain the evolution of the different Hubble types with cosmic time and trace the physical cause of this evolution at z 1-3; noindent {3} Study the numerous compact objects at faint magnitudes, their size distribution compared with that of nearby galaxies in the restframe optical, and their role in galaxy formation; noindent {4} Provide stronger constraints on cosmological parameters {e.g. the cosmological constant} from the counts of well classified E/S0's, which cannot be done through the optical counts since the uncertain restframe UV morphology affects the classifications.
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