Computer Science – Learning
Scientific paper
Mar 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008sptz.prop50804s&link_type=abstract
Spitzer Proposal ID #50804
Computer Science
Learning
Scientific paper
We propose IRAC and MIPS imaging of Leo T, the most metal-poor galaxy ever discovered. This new denizen of the Local Group is located just 420 kpc from the Milky Way and has a metallicity of less than 1/100 Zsun. However, it also contains significant amounts of cold gas, as well as a population of young massive stars. We will use very deep IRAC imaging of this unique system to search for YSOs, with techniques that we have perfected in the Small Magellanic Cloud. We will be sensitive to protostars with masses down to 4 Msun. We will also create a deep 160 um map of Leo T to constrain the dust associated with the cold gas, with the sensitivity to detect dust masses of as little as 10 Msun. Because of the combination of its unprecedently low metallicity and nearby location, Leo T is by far the best target for studying star formation and the dust content of the ISM at extremely low metallicities. With a small investment of Spitzer time, these observations offer the possibility of a very large scientific payoff: learning about stars similar to the theoretical Population III, but in the local universe.
Bolatto Alberto
Geha Marla
Simon Joshua
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