Stellar Archaeology: Using Metal-Poor Stars to Test Theories of the Early Universe

Mathematics – Logic

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Stars: Abundances, Stars: Population Ii, Galaxy: Halo, Early Universe

Scientific paper

Constraints on the chemical yields of the first stars and supernova can be derived by examining the abundance patterns of different types of metal-poor stars. We show how metal-poor stars are employed to derive constraints of the formation of the first low-mass stars by testing a fine-structure line cooling theory. The concept of stellar archaeology, that stellar abundances truly reflect the chemical composition of the earliest times, is then addressed. The accretion history of a sample of metal-poor stars is examined in detail in a cosmological context, and found to have no impact on the observed abundances. Predictions are made for the lowest possible Fe and Mg abundances observable in the Galaxy, [Fe/H]min = -7.5 and [Mg/H]min = -5.5. The absence of stars below these values is so far consistent with a top-heavy IMF. These predictions are directly relevant for future surveys and the next generation of telescopes.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Stellar Archaeology: Using Metal-Poor Stars to Test Theories of the Early Universe does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Stellar Archaeology: Using Metal-Poor Stars to Test Theories of the Early Universe, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Stellar Archaeology: Using Metal-Poor Stars to Test Theories of the Early Universe will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-967975

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.