Mathematics – Logic
Scientific paper
Jul 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005hst..prop10646c&link_type=abstract
HST Proposal ID #10646
Mathematics
Logic
Hst Proposal Id #10646 Cosmology
Scientific paper
The last decade has seen the development of a basic observational framework for the evolution of galaxies with lookback time. From the timescales we observe it has become clear that galaxy morphology and star formation are interlinked; with the decrease in star formation at redshifts z<1 corresponding to the formation of the morphological sequence we know today. Given this simplified picture of galaxy evolution questions that arise are: what drives the evolution and how is it related to the environment? Is it a local phenomenon {depending simply on the mass of the dark matter halo} or are galaxy properties influenced by larger scale structures? Classical approaches to this problem involve subdividing samples of galaxies based on their observed properties {e.g. luminosity, color or morphology}. While this provides some insight it does not fully exploit the information present within these data. We propose here to exploit a new set of clustering statistics, marked correlation functions, that can be used to express galaxy evolution in terms of the dark matter halo mass, the underlying large-scale environment and that can be compared directly to semi-analytic models for galaxy formation. Our goals with this proposal are: {a} to utilize archival multicolor HST data to derive a statistically robust sample of galaxies from which to study the properties of galaxies at intermediate and high redshift {0.5
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