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Photometric identification of quasars from the Sloan Survey
Published online by Cambridge University Press: 01 August 2006
Extract
We have developed a neural network based technique for identifying quasars from the photometric database of the Sloan Digital Sky Survey (SDSS). We have queried the SDSS data release 5 (DR5) to produce a dataset of spectroscopically identified samples of unresolved objects consisting of quasars and stars which forms the training set.
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- Contributed Papers
- Information
- Proceedings of the International Astronomical Union , Volume 2 , Highlights of Astronomy 14: Highlights of Astronomy , August 2006 , pp. 609
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- Copyright © International Astronomical Union 2007
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