کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1772036 | 1020915 | 2008 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A Method of Sky-subtraction Based on Principal Component Analysis
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موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
نجوم و فیزیک نجومی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A Method of Sky-subtraction Based on Principal Component Analysis A Method of Sky-subtraction Based on Principal Component Analysis](/preview/png/1772036.png)
چکیده انگلیسی
Skylight is an important noise source in astronomical observations. The problem of sky-subtraction is an important factor that restricts the depth of multi-object fiber spectroscopic observations. The method of principal component analysis (PCA) comes from statistics, and it can be used to find the relations between the different skylight spectra and to obtain the skylight components contained in the object spectra. In order to study the sky-subtraction method of LAMOST, adopting a group of raw data from the Sloan Digital Survey System (SDSS), a simulation experiment is conducted, and the obtained result indicates that for the sky-subtraction, the PCA method is more effective than the SDSS reduction pipeline. In addition, a prospect is made for the application of the PCA method in LAMOST observations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chinese Astronomy and Astrophysics - Volume 32, Issue 1, JanuaryâMarch 2008, Pages 109-117
Journal: Chinese Astronomy and Astrophysics - Volume 32, Issue 1, JanuaryâMarch 2008, Pages 109-117
نویسندگان
Bai Zhong-rui, Zhang Lei, Ye Zhong-fu,