Automated stellar spectral analysis software for survey spectra

Details Automated stellar spectral analysis software for survey spectra Automated stellar spectral analysis software for survey spectra

Aug 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008spie.7019e.105l&link_type=abstract

Advanced Software and Control for Astronomy II. Edited by Bridger, Alan; Radziwill, Nicole M. Proceedings of the SPIE, Volume 70

Astronomy and Astrophysics

Astronomy

5

Scientific paper

A spectral analysis pipeline of LAMOST (Large sky Area Multi-Object fiber Spectroscopic Telescope), which produces archived spectral type data, is introduced. By studying observational and theoretical stellar spectra, spectral features within medium resolution are discussed, those lines and bands with high sensitivity to stellar atmospheric parameters, viz. effective temperature (Teff), surface gravity (logg) and metallicity ([Fe/H]), were selected. According to the research, selected features were put into different objective algorithms to extract parameters. The application of three algorithms to SDSS/SEGUE spectra, namely radial basis function neural network (RBFN), back propagation neural network (BPN) and non-parameter regression (NPR), shows intrinsic statistical consistency. Based on the above research, a stellar atmospheric parameter pipeline for LAMOST is designed.

Affiliated with

Also associated with

No associations

Rating

Automated stellar spectral analysis software for survey spectra 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 Automated stellar spectral analysis software for survey spectra, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automated stellar spectral analysis software for survey spectra will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1061223