An approach to the analysis of SDSS spectroscopic outliers based on Self-Organizing Maps

@article{Fustes2013AnAT,
  title={An approach to the analysis of SDSS spectroscopic outliers based on Self-Organizing Maps},
  author={Diego Fustes and Minia Manteiga and Carlos Dafonte and Bernardino Arcay and Ana Ulla and K. W. Smith and R. Borrachero and Rosanna Sordo},
  journal={arXiv: Instrumentation and Methods for Astrophysics},
  year={2013}
}
Aims. A new method is applied to the segmentation, and further analysis of the outliers resulting from the classification of astronomical objects in large databases is discussed. The method is being used in the framework of the Gaia satellite DPAC (Data Processing and Analysis Consortium) activities to prepare automated software tools that will be used to derive basic astrophysical information that is to be included in Gaia final archive. Methods. Our algorithm has been tested by means of… Expand
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