Broad Absorption Line Quasar catalogues with Supervised Neural Networks

Details Broad Absorption Line Quasar catalogues with Supervised Neural Networks Broad Absorption Line Quasar catalogues with Supervised Neural Networks

2008-10-24

arxiv.org/abs/0810.4396v1

Astronomy and Astrophysics

Astrophysics

5 pages, 3 figures, to appear in the proceedings of "Classification and Discovery in Large Astronomical Surveys", Ringberg Cas

Scientific paper

10.1063/1.3059042

We have applied a Learning Vector Quantization (LVQ) algorithm to SDSS DR5 quasar spectra in order to create a large catalogue of broad absorption line quasars (BALQSOs). We first discuss the problems with BALQSO catalogues constructed using the conventional balnicity and/or absorption indices (BI and AI), and then describe the supervised LVQ network we have trained to recognise BALQSOs. The resulting BALQSO catalogue should be substantially more robust and complete than BI- or AI-based ones.

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