Quasar Spectral Fitting using a Genetic Algorithm

Details Quasar Spectral Fitting using a Genetic Algorithm Quasar Spectral Fitting using a Genetic Algorithm

Dec 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aas...20514314s&link_type=abstract

American Astronomical Society Meeting 205, #143.14; Bulletin of the American Astronomical Society, Vol. 36, p.1586

Astronomy and Astrophysics

Astronomy

Scientific paper

We have developed a genetic algorithm for fitting UV/optical quasar spectra in detail. The continuum, emission line, and host galaxy components are fit simultaneously. The continuum is modeled with a power law and Balmer continuum. Major emission lines are modeled with one to three Gaussians per line. Iron emission complexes are modeled with multiple Gaussians, based on narrow-lined Seyfert spectra and theoretical line models. The host galaxy component is modeled using galaxy eigenvectors. A typical SDSS quasar spectrum is modeled using over 150 parameters. The fitting routine uses a "genetic" algorithm to search the parameter space to minimize the Chi-squared value of the model fit to the spectroscopic data. The algorithm requires a minimum of human supervision, and returns stable, robust results. The algorithm has been run on over 16,000 SDSS Data Release One spectra using the TeraGrid and Fermilab farms. Results of the fits are presented.

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