Mathematics – Probability
Scientific paper
Dec 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000aas...19713502g&link_type=abstract
American Astronomical Society, 197th AAS Meeting, #135.02; Bulletin of the American Astronomical Society, Vol. 33, p.722
Mathematics
Probability
Scientific paper
We have artificially generated a large sample of galaxies composed of two stellar populations (young and evolved) having randomly chosen ages, dust extinctions and relative burst strengths. UV-optical-NIR colors have been then constructed for the sample using the predictions of the Bruzual & Charlot (2000) evolutionary synthesis models and including the contribution of the nebular continuum and most intense emission lines in all the photometric bands. Once these colors have been obtained they have been regrouped into several sets and compared back with the model predictions assuming different observing errors. The point-by-point comparison of the color distributions generated by this method with the model predictions has been done using a maximum likelihood estimator and have led to probability distributions for the properties of each galaxy in the sample (age and dust extinction of young and evolved stellar populations, and burst strength). Finally, the degeneracies between these properties have been analyzed using a Principal Component Analysis. This procedure has allowed us to determine the uncertainties and degeneracies in the derived galaxy properties as a function of the combination of colors used, the observing errors and the galaxy properties. We have applied this procedure, using the same sets of colors, to three samples of local, intermediate and high-redshift galaxies. This work will help to design future projects on the study of the integrated properties of high-redshift star-forming galaxies and Hii regions in nearby galaxies through the optimization of their observing time and quantification of the uncertainties in the properties to be derived.
Gil de Paz Amando
Madore Barry F.
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