Stellar population synthesis models at low and high redshift

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

37 pages, 39 figures, to appear in Proceedings of the XI Canary Islands Winter School of Astrophysics on Galaxies at High Reds

Scientific paper

The basic assumptions behind Population Synthesis and Spectral Evolution models are reviewed. The numerical problems encountered by the standard population synthesis technique when applied to models with truncated star formation rates are described. The Isochrone Synthesis algorithm is introduced as a means to circumvent these problems. A summary of results from the application of this algorithm to model galaxy spectra by Bruzual and Charlot (1993, 2000) follows. I present a comparison of these population synthesis model predictions with observed spectra and color magnitude diagrams for stellar systems of various ages and metallicities. It is argued that models built using different ingredients differ in the resulting values of some basic quantities (e.g. $M/L_V$), without need to invoking violations of physical principles. The range of allowed colors in the observer frame is explored for several galaxy redshifts.

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 population synthesis models at low and high redshift 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 population synthesis models at low and high redshift, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Stellar population synthesis models at low and high redshift will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-600899

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