Stellar features in integrated starburst spectra as stellar population diagnostics

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Invited review to appear in "Starbursts -- near and far", Eds. L. Tacconi-Garman, D. Lutz, Springer Verlag, in press, 10 pages

Scientific paper

We review the main stellar features observed in starburst spectra from the UV to the near-IR and their use as fundamental tools to determine the properties of stellar populations from integrated spectra. The origin and dependence of the features on stellar properties are discussed, and we summarise existing modeling techniques used for quantitative analysis. Recent results from studies based on UV, optical and near-IR observations of starbursts and active galaxies are summarised. Finally, we briefly discuss combined starburst + photoionisation models including also observations from nebular emission lines. The present review is complementary to the recent summary by Schaerer (2000) (http://xxx.lpthe.jussieu.fr/abs/astro-ph/0007307) discussing more extensively nebular analysis of starbursts and related objects.

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 features in integrated starburst spectra as stellar population diagnostics 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 features in integrated starburst spectra as stellar population diagnostics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Stellar features in integrated starburst spectra as stellar population diagnostics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-255899

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