Spitzer Space Telescope - Legacy General Observer Proposal #30574 Gould's Belt: Star Formation in the Solar Neighborhood Principal Investigator: Lori Allen Institution: Smithsonian Astrophysical Observatory Co-Investigators: Brenda Matthews, NRC-HIA Dave Nutter, Cardiff University Jes Jorgensen, CfA James Di Francesco, NRC-HIA Neal Evans, Univ. Texas Tim Brooke, Caltech Paul Harvey, Univ. Texas Tracy Huard, CfA Tyler Bourke, CfA Jane Greaves, St. Andrews Robert Gutermuth, CfA Jenny Hatchell, Exeter Michiel Hogerheijde, Leiden Doug Johnstone, NRC-HIA Jason Kirk, Cardiff University Lewis Knee, NRC-HIA David Koerner, Northern Arizona Univ. Tom Megeath, Univ. Toledo Bruno Merin, Leiden Lee Mundy, Univ. Maryland Philip Myers, CfA Deborah Padgett, Spitzer Science Center Luisa Rebull, Spitzer Science Center Karl Stapelfeldt, JPL Derek Ward-Thompson, Cardiff University Jeremy Yates, Univ. College London Science Category: star formation Observing Modes: IracMap MipsScan Hours Approved: 285.0 Abstract: We propose a Legacy program to obtain observations with IRAC and MIPS of molecular clouds in Gould's Belt. These will provide the crucial data shortward of 200 microns to match the data from large projects with SCUBA-2 on the JCMT (450 and 850 microns) and SPIRE (200 to 500 microns) on Herschel. Together with the clouds surveyed by the Cores to Disks (c2d) Spitzer Legacy program and clouds studied by GTO/GO programs, these observations will complete the census of star formation regions within 500 pc. All Spitzer data, including previous GTO/GO data, will be processed through the c2d pipeline to produce a uniform, complete, and unbiased data base for studies of local star formation. Scientific goals include the following. We will determine which of the many dense cores detected by SCUBA-2 have embedded stars and which are starless. We will compile the statistics of objects in different evolutionary stages to obtain timescales for these stages, a fundamental check on theory. We will use the large sample to control for effects of enviroment on star formation. We will assess the fraction of star formation in distributed and clustered modes, including the number in groups of various sizes. Finally, we will combine the MIPS data with the submillimeter data to study the physical conditions in extended structures with a goal of understanding the formation of dense cores.