Photometric identification of quasars from the Sloan Survey

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

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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