Sky Mining - Application to Photomorphic Redshift Estimation
Date
2015
Authors
Nayak, Pragyansmita
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Abstract
The field of astronomy has evolved from the ancient craft of observing the sky. In it's present form, astronomers explore the cosmos not just by observing through the tiny visible window used by our eyes, but also by exploiting the electromagnetic spectrum from radio waves to gamma rays. The domain is undoubtedly at the forefront of data-driven science. The data growth rate is expected to be around 50%-100% per year. This data explosion is attributed largely to the large-scale wide and deep surveys of the different regions of the sky at multiple wavelengths (both ground and space-based surveys).
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Keywords
Computer science, Astronomy, Statistics, AstroInformatics, Bayesian Networks, Data Mining, Generalized Linear Model, Photometric Redshift, Sky Survey SDSS