Open AccessMining the LAMOST spectral archive
Author(s) -
A-Li Luo,
Yanxia Zhang,
Jiannan Zhang,
Yongheng Zhao
Publication year - 2004
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.551641
Subject(s) - lamost , terabyte , computer science , virtual observatory , qsos , data reduction , sky , pipeline (software) , cluster analysis , interface (matter) , petabyte , telescope , stars , galaxy , database , astronomy , remote sensing , data mining , redshift , physics , artificial intelligence , big data , bubble , maximum bubble pressure method , parallel computing , computer vision , programming language , geology , operating system
The Large sky Area Multi-Object fibre Spectroscopic Telescope will yield 10 million spectra of a wide variety of objects including QSOs, galaxies and stars. The data archive of one-dimensional spectra, which will be released gradually during the survey, is expected to exceed 1 terabyte in size. This archive will enable astronomers to explore the data interactively through a friendly user interface. Users will be able to access information related to the original observations as well as spectral parameters computed by means of an automated data-reduction pipeline. Data mining tools will enable detailed clustering, characterization and classification analyses. The LAMOST data archive will be made publicly available in the standard data format for Virtual Observatories and in a form that will be fully compatible with future Grid technologies.
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