A Method of Sky-subtraction Based on Principal Component Analysis

Details A Method of Sky-subtraction Based on Principal Component Analysis A Method of Sky-subtraction Based on Principal Component Analysis

Jan 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008cha%26a..32..109b&link_type=abstract

Chinese Astronomy and Astrophysics, Volume 32, Issue 1, p. 109-117.

Astronomy and Astrophysics

Astrophysics

2

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

A Method of Sky-subtraction Based on Principal Component Analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Method of Sky-subtraction Based on Principal Component Analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Method of Sky-subtraction Based on Principal Component Analysis will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-752954