Spectral Extraction Algorithm for LAMOST Two-dimensional Fiber-spectroscopic Images

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

This paper describes the method of spectral extraction to be used for the data processing of LAMOST's two-dimensional fiber-spectroscopic images. The effect of the selection of sampling points on the result of spectral extraction is analyzed. Based on the characteristics of Gaussian distribution functions and some experiments, the selection range of sampling points is defined, and the problem that some negative flux values appear in the result of spectral extraction is resolved. In addition, aiming at the problem that rather large errors exist in the result of spectral extraction under strong noise background, an improved extraction method based on the frequency-domain filtering is proposed. By using the FFT and low-pass filter, the sharp noises affecting the real fiber profiles are removed at first, before the normal spectral extraction is performed. Experiments and tests are made by using the simulative data provided by the data processing system of the LAMOST telescope, and the results indicate that the improved extraction method is feasible and effective.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Spectral Extraction Algorithm for LAMOST Two-dimensional Fiber-spectroscopic Images 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 Spectral Extraction Algorithm for LAMOST Two-dimensional Fiber-spectroscopic Images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Spectral Extraction Algorithm for LAMOST Two-dimensional Fiber-spectroscopic Images will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1561309

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.