Astronomy and Astrophysics – Astrophysics
Scientific paper
2007-11-15
Astronomy and Astrophysics
Astrophysics
4 pages, 4 figures, to be published in Proceedings of ADASS XVII
Scientific paper
Given multiband photometric data from the SDSS DR6, we estimate galaxy redshifts. We employ a Random Forest trained on color features and spectroscopic redshifts from 80,000 randomly chosen primary galaxies yielding a mapping from color to redshift such that the difference between the estimate and the spectroscopic redshift is small. Our methodology results in tight RMS scatter in the estimates limited by photometric errors. Additionally, this approach yields an error distribution that is nearly Gaussian with parameter estimates giving reliable confidence intervals unique to each galaxy photometric redshift.
Budavari Tamas
Carliles Samuel
Heinis Sebastien
Priebe Carey
Szalay Alexander
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