2001/02/13 by C. A. L. Bailer-Jones, C. A. L. Bailer‐Jones, Bailer-Jones, C. A. L.
Engineering · Physics and Astronomy · #Astronomical Observations and Instrumentation #Astronomy and Astrophysical Research #Astrophysics (astro-ph) #FOS: Physical sciences #Stellar, planetary, and galactic studies #astro-ph
paper · pdf · doi:10.48550/arxiv.astro-ph/0102223
To appear in "Automated Data Analysis in Astronomy", R. Gupta, H.P. Singh, C.A.L. Bailer-Jones (eds.), Narosa Publishing House, New Delhi, India, 2001. 16 pages. Also available from http://www.mpia-hd.mpg.de/homes/calj/indiarev.html
arxiv created 2001/02/13 · openalex publication_date 2001/02/13 · arxiv updated 2009/12/01 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28
Current and future large astronomical surveys will yield multiparameter\ndatabases on millions or even billions of objects. The scientific exploitation\nof these will require powerful, robust, and automated classification tools\ntailored to the specific survey. Partly motivated by this, the past five to ten\nyears has seen a significant increase in the amount of work focused on\nautomated classification and its application to astronomical data. In this\narticle, I review this work and assess the current status of automated stellar\nclassification, with particular regard to its potential application to large\nastronomical surveys. I examine both the strengths and weaknesses of the\nvarious techniques and how they have been applied to different classification\nand parametrization problems. I finish with a brief look at the developments\nstill required in order to apply a stellar classifier to a large survey.\n