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arXiv 0810.4396astro-ph
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Broad Absorption Line Quasar catalogues with Supervised Neural Networks

Simone Scaringi, Christopher E. Cottis, Christian Knigge, Michael R. Goad

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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