Interpreting the SPITZER View of Galaxy Formation and Evolution

Details Interpreting the SPITZER View of Galaxy Formation and Evolution Interpreting the SPITZER View of Galaxy Formation and Evolution

Jun 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005sptz.prop20067g&link_type=abstract

Spitzer Proposal ID #20067

Mathematics

Logic

Scientific paper

We request the equivalent of about 9 months of salary funding for the PI to direct the comparison between the prediction of breakthrough N-body simulations of galaxy formation with the detailed, panchromatic observables of the internal structure of field galaxies provided by GOODS, GLIMPSE and SINGS. We will focus on (a) star formation rates and histories (SFH) as a function of galaxy stellar mass and morphology (b) the cosmic SFH at high redshift (c) the evolution of galaxy sizes and disk surface brightness of spiral galaxies and specifically of the progenitors of our own Milky Way and (d) the evolution of disks and spheroids through dynamical instabilities and the formation of the thick/thin disk components. Our project carries significant improvements over previous work: -We resolve in a full cosmological context the ISM and stellar structure of a small set of galaxies down to giant star-forming regions with a sub-kpc spatial resolution. -We describe SN feedback and star formation with a physically motivated model that reproduces the basic properties of z=0 galaxies. -We will provide predictions directly comparable with observed quantities obtained with Spitzer's instruments, including the effects of dust reprocessing on the SED of galaxies. -We sample galaxy masses from giant spirals to dwarfs. -We include in our team observers strongly involved with some of the mentioned Spitzer's surveys. -We will update the freely available and widely used software TIPSY (Theoretical Image Processing System) developed by co-PI T.Quinn to produce images from simulations in the passbands of Spitzer's instruments. Delivery of results will happen between Summer 05 and Spring 06. 80% of the simulations have been completed to date using 2.5e5 CPU hrs.

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