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Simulations of SN Feedback in Dwarf Disk Galaxies. P. Chris Fragile Lawrence Livermore National Laboratory. Collaborators: Stephen Murray, LLNL Doug Lin, UCSC. Simulations of SN Feedback in Dwarf Disk Galaxies. Goals Supernova enrichment histories of dwarf systems
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Simulations of SN Feedback in Dwarf Disk Galaxies P. Chris Fragile Lawrence Livermore National Laboratory Collaborators: Stephen Murray, LLNL Doug Lin, UCSC
Simulations of SN Feedback in Dwarf Disk Galaxies • Goals • Supernova enrichment histories of dwarf systems • Building blocks for larger systems • Polluters of IGM • Star-formation histories of dwarf systems • Concentrated starbursts • Self-regulated (distributed) star formation
Simulations of SN Feedback in Dwarf Disk Galaxies • Methodology • Computational domain • 30 kpc x 30 kpc x 15 kpc • 256x256x128 • Galaxy potential • Fixed (non-interacting) dark-matter potential • Gas distribution • Supernova input • Variables: input rate and distribution • Observables: mass ejection and metal ejection
Results Model 1 0% distribution • Md=9.1x109M8 • Mg=109M8 • 30 SNae Myr-1 • Simulation = 100 Myr Model 4 30% distribution mass ejection metal ejection Model 3 80% distribution
Results • Md=9.1x109M8 • Mg=109M8 • 30 SNae Myr-1 • Simulation = 100 Myr Model 1 0% distribution Model 2 0% distribution, offset Rd/2
Implications • small systems vs. BIG systems • Metal retention is poor in systems below ~109 M8 • Self-regulated star-formation vs. Bursts • Metal retention is much higher during more quiescent or distributed star formation • Type I vs. Type II supernovae • “Drift” of Type I progenitors may increase expulsion of byproducts (Iron) • Preferential retention of Type II products in dwarf systems???