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- W1969493405 abstract "ABSTRACT The Sloan Digital Sky Survey (SDSS) is an ambitious photometry and spectra project, providing huge andabundant samples for photometric redshift estimation. W e employ polynomial regressionto estimate photometricredshifts using330,000galaxieswithknownspectroscopicredshiftsfromSDSS ReleaseFourspectroscopiccatalog,andcomparethree polynomialregressionmethods, i.e. linear regression,quadraticregressionandcubic regressionwith dierent samples. This technique gives absolute co nvergence in a nite number of steps, represents bettert with fewer coecients and yields the result as a mathematical expression. This method is much easier touse and understand than other empirical methods for astronomers. Our result indicates that equally or morepowerful accuracy is provided, moreover, the best r.m.s. dispersion of this approach is 0.0256. In addition, thecomparison between our results with other works is addressed.Keywords: galaxies: distances and redshifts methods: data analysis 1. INTRODUCTION" @default.
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- W1969493405 date "2008-08-08" @default.
- W1969493405 modified "2023-10-16" @default.
- W1969493405 title "Predicting photometric redshifts with polynomial regression" @default.
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- W1969493405 doi "https://doi.org/10.1117/12.788443" @default.
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