The quasars’ redshift estimation method based on piecewise Gaussian fitting

To solve the problem that high-redshift and broad emission lines weaken the quasar discovery and observation severely, a new redshift calculation method based on piecewise Gaussian fitting is proposed. The denoised and normalized spectrum is divided into two regions, peak and non-peak, by mean squar...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of distributed sensor networks Vol. 15; no. 5; p. 155014771984712
Main Authors Su, Yanrui, Zhang, Li, Jiang, Bin, Liu, Jiaqi, Yan, Fabao
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.05.2019
Wiley
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:To solve the problem that high-redshift and broad emission lines weaken the quasar discovery and observation severely, a new redshift calculation method based on piecewise Gaussian fitting is proposed. The denoised and normalized spectrum is divided into two regions, peak and non-peak, by mean square error threshold segmentation first. Then, the non-peak region spectrum is applied to fit the continuous spectrum, removal of which gains access to the residual spectrum. And, the peak of each segment in the residual spectrum is precisely fitted by single-peak Gaussian fitting to replace the original multi-peak Gaussian fitting. Finally, through matching the accurate peak value with the stationary template, the redshift value is acquired. Compared with traditional methods, the method proposed improves the precision of continuous spectrum fitting and redshift calculation. The effectiveness and accuracy of this method have been verified by experiments based on the Sloan Digital Sky Survey data.
ISSN:1550-1329
1550-1477
1550-1477
DOI:10.1177/1550147719847128