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Paper: A Toolkit for Eye Recognition of LAMOST Spectroscopy
Volume: 485, Astronomical Data Analysis Software and Systems XXIII
Page: 455
Authors: Yuan, H.; Zhang, H.; Zhang, Y.; Lei, Y.; Dong, Y.; Zhao, Y.
Abstract: The Large sky Area Multi-Object fiber Spectroscopic Telescope (LAMOST, also named the Guo Shou Jing Telescope) has finished the pilot survey and now begun the normal survey by the end of 2012 September. There have already been millions of targets observed, including thousands of quasar candidates. Because of the difficulty in the automatic identification of quasar spectra, eye recognition is always necessary and efficient. However massive spectra identification by eye is a huge job. In order to improve the efficiency and effectiveness of spectra , a toolkit for eye recognition of LAMOST spectroscopy is developed. Spectral cross-correlation templates from the Sloan Digital Sky Survey (SDSS) are applied as references, including O star, O/B transition star, B star, A star, F/A transition star, F star, G star, K star, M1 star, M3 star,M5 star,M8 star, L1 star, magnetic white dwarf, carbon star, white dwarf, B white dwarf, low metallicity K sub-dwarf, "Early-type" galaxy, galaxy, "Later-type" galaxy, Luminous Red Galaxy, QSO, QSO with some BAL activity and High-luminosity QSO. By adjusting the redshift and flux ratio of the template spectra in an interactive graphic interface, the spectral type of the target can be discriminated in a easy and feasible way and the redshift is estimated at the same time with a precision of about millesimal. The advantage of the tool in dealing with low quality spectra is indicated. Spectra from the Pilot Survey of LAMSOT are applied as examples and spectra from SDSS are also tested from comparison. Target spectra in both image format and fits format are supported. For convenience several spectra accessing manners are provided. All the spectra from LAMOST pilot survey can be located and acquired via the VOTable files on the internet as suggested by International Virtual Observatory Alliance (IVOA). After the construction of the Simple Spectral Access Protocol (SSAP) service by the Chinese Astronomical Data Center (CAsDC), spectra can be obtained and analyzed in a more efficient way.
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