Statistics
Scientific paper
Oct 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007acasn..48..507b&link_type=abstract
Acta Astronomica Sinica, vol. 48, no. 4, p.507-514
Statistics
Astronomical Instrumentation, Methods And Techniques: Telescopes, Methods: Numerical
Scientific paper
Sky is an important noise in astronomical observations. The problem of sky-subtraction is an important factor that restricts the depth of the multi-object fiber spectroscopic observation. The method of principle component analysis (PCA) comes from statistics and it can be used to find the relation among the entire sky spectra which farther can be used to obtain the sky contents of the object spectrum. Using PCA method, several main sky components can be obtained from a certain observation and the content of each components in each object spectrum can be measured. By using the MDL or AIC criterion from the field of signal detection, the number of main components can be decided. Thus the sky contents of each object spectrum can be determined and be subtracted to get the original object spectrum. For studying the way of the sky-subtraction of LAMOST, a group of observation data from SDSS is verified with PCA. The experimental result shows that method of PCA is more effectual in sky-subtraction than SDSS reduction. In the end, prospect of the use of PCA in LAMOST is anticipated.
Bai Zhong-Rui
Ye Zhong-Fu
Zhang Lianchang
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