A Sky-Subtraction Algorithm for LAMOST Using Two-Dimensional Sky-Background Modeling
J. Zhu A and Z. Ye A BA Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China
B Corresponding author. Email: yezf@ustc.edu.cn
Publications of the Astronomical Society of Australia 29(1) 78-85 https://doi.org/10.1071/AS11071
Submitted: 5 December 2011 Accepted: 13 January 2012 Published: 10 February 2012
Abstract
A novel algorithm is proposed for the sky subtraction of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) based on two-dimensional sky background modeling. Different from the standard fiber spectrum data processing techniques, a two-dimensional sky background model can be obtained with the new algorithm and sky subtraction can now be performed as an earlier step, before the spectrum extraction. In this study, experiments are performed on simulated data based on the LAMOST project to analyze the accuracy and the effectiveness. The results show that the proposed algorithm can give a more effective sky subtraction than the method that is currently used for LAMOST.
Keywords: instrumentation: spectrographs — methods: data analysis — techniques: spectroscopic — telescopes
References
Abazajian, K. et al., 2004, ApJ, 128, 502Bai, Z. R., Zhang, L. and Ye, Z. F., 2008, ChA&A, 32, 109
Barden, S. C., Elston, R., Armandroff, T. and Pryor, C. P., 1993, ASPC, 37, 223
Bolton, A. S. and Burles, S., 2007, NJPh, 9, 443
Causi, G. L. and De Luca, M., 2005, NA, 11, 81
Cuby, J. and Mignoli, M., 1994, SPIE, 2198, 98
| Crossref | GoogleScholarGoogle Scholar |
Cui, X. Q., 2009, AAS, 213, 226
de Boor, C., 1978, A Practical Guide to Splines (New York: Springer)
Elston, R. and Barden, S., 1989, NOAO Newsletter, 19, 21
Gordon, W. & Riesenfeld, R., 1974, in Computer Aided Geometric Design, ed. R. Barnhill & R. Riesenfeld (New York: Academic Press), 95
Kurtz, M. J. and Mink, D. J., 2000, ApJL, 533, L183
| Crossref | GoogleScholarGoogle Scholar |
Parry, I. and Carrasco, E., 1990, SPIE, 1235, 702
| Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK3cXlvVSrs78%3D&md5=89076aee9cddc4ca23b7ed20eda71b62CAS |
Sharp, R. and Parkinson, H., 2010, MNRAS, 408, 2495
| Crossref | GoogleScholarGoogle Scholar |
Watson, F. G., 1987, PhD Thesis, University of Edinburgh
Wild, V. and Hewett, P. C., 2005, MNRAS, 358, 1083
| Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXktFalu7s%3D&md5=6dd737254def9f4ba8ab8eebc0289370CAS |
Wynne, C., 1993, MNRAS, 260, 307
Wyse, R. and Gilmore, G., 1992, MNRAS, 257, 1
Zhang, H., Chu, Y. and Chen, J., 2002, ChA&A, 26, 97
Zhu, Y. T., Hu, Z. W., Zhang, Q. F., Wang, L. and Wang, J. N., 2006, SPIE, 6269, 20