SagDIG: a benchmark for understanding star formation in extreme low-metallicity galaxies

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Hst Proposal Id #10472 Stellar Populations

Scientific paper

A long-standing question in the field of galaxy evolution is whether metal-poor star-forming galaxies {like I ZW 18} posses a very old {>10 Gyr} stellar population. An excellent example of such a primordial galaxy is the Sagittarius dwarf irregular {SagDIG}. Besides being very metal-poor, this object is exceptionally rich in atomic gas and shows evidence of propagating star formation. Such features make of SagDIG and ideal target for the study of star formation and its triggering mechanism in extremely metal-poor environments. The deep, wide-field imaging capability of ACS is able to detect an unprecedented number of the oldest stellar population. Such data will enable the construction of both the star formation and chemical enrichment history. In particular, determining the epoch of formation of the first stars in such objects places a constraint on heirarchical galaxy formation in "bottom up" cosmologies.

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

SagDIG: a benchmark for understanding star formation in extreme low-metallicity galaxies 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 SagDIG: a benchmark for understanding star formation in extreme low-metallicity galaxies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and SagDIG: a benchmark for understanding star formation in extreme low-metallicity galaxies will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1250118

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