Principal component analysis for spectral indices of stellar populations

Details Principal component analysis for spectral indices of stellar populations Principal component analysis for spectral indices of stellar populations

2001-12-05

arxiv.org/abs/astro-ph/0112099v2

Mon.Not.Roy.Astron.Soc. 323 (2001) 1035

Astronomy and Astrophysics

Astrophysics

6 pages, 2 figures,Monthly Notices of the Royal Astronomical Society, Volume 323, Issue 4, pp. 1035-1040

Scientific paper

We apply the method of principal component analysis to a sample of simple stellar populations to select some age-sensitive spectral indices. Besides the well-known age-sensitive index, H B, we find that some other spectral indices have great potential to determine the age of stellar populations, such as G4300, Fe4383, C24668, and Mgb. In addition, we find that the sensitivity to age of these spectral indices depends on the metallicity of the simple stellar population (SSP): H B and G4300 are more suited to determine the age of the low-metallicity stellar population, C24668 and Mgb are more suited to the high-metallicity stellar population. The results suggest that the principal component analysis method provides a more objective and informative alternative to diagnostics by individual spectral lines.

Affiliated with

Also associated with

No associations

Rating

Principal component analysis for spectral indices of stellar populations 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 Principal component analysis for spectral indices of stellar populations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Principal component analysis for spectral indices of stellar populations will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-173986