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
Main Authors: Yanrui Su, Li Zhang, Bin Jiang, Jiaqi Liu, Fabao Yan
Format: Article
Language:English
Published: Wiley 2019-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147719847128
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832547139625943040
author Yanrui Su
Li Zhang
Bin Jiang
Jiaqi Liu
Fabao Yan
author_facet Yanrui Su
Li Zhang
Bin Jiang
Jiaqi Liu
Fabao Yan
author_sort Yanrui Su
collection DOAJ
description 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.
format Article
id doaj-art-3a4939d71f1746c892c45a8b1bd8c178
institution Kabale University
issn 1550-1477
language English
publishDate 2019-05-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-3a4939d71f1746c892c45a8b1bd8c1782025-02-03T06:45:41ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-05-011510.1177/1550147719847128The quasars’ redshift estimation method based on piecewise Gaussian fittingYanrui Su0Li Zhang1Bin Jiang2Jiaqi Liu3Fabao Yan4School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, ChinaSchool of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, ChinaSchool of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, ChinaTechnology Department, Weihai Weineng Commercial Machine Co. Ltd, Weihai, ChinaSchool of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, ChinaTo 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.https://doi.org/10.1177/1550147719847128
spellingShingle Yanrui Su
Li Zhang
Bin Jiang
Jiaqi Liu
Fabao Yan
The quasars’ redshift estimation method based on piecewise Gaussian fitting
International Journal of Distributed Sensor Networks
title The quasars’ redshift estimation method based on piecewise Gaussian fitting
title_full The quasars’ redshift estimation method based on piecewise Gaussian fitting
title_fullStr The quasars’ redshift estimation method based on piecewise Gaussian fitting
title_full_unstemmed The quasars’ redshift estimation method based on piecewise Gaussian fitting
title_short The quasars’ redshift estimation method based on piecewise Gaussian fitting
title_sort quasars redshift estimation method based on piecewise gaussian fitting
url https://doi.org/10.1177/1550147719847128
work_keys_str_mv AT yanruisu thequasarsredshiftestimationmethodbasedonpiecewisegaussianfitting
AT lizhang thequasarsredshiftestimationmethodbasedonpiecewisegaussianfitting
AT binjiang thequasarsredshiftestimationmethodbasedonpiecewisegaussianfitting
AT jiaqiliu thequasarsredshiftestimationmethodbasedonpiecewisegaussianfitting
AT fabaoyan thequasarsredshiftestimationmethodbasedonpiecewisegaussianfitting
AT yanruisu quasarsredshiftestimationmethodbasedonpiecewisegaussianfitting
AT lizhang quasarsredshiftestimationmethodbasedonpiecewisegaussianfitting
AT binjiang quasarsredshiftestimationmethodbasedonpiecewisegaussianfitting
AT jiaqiliu quasarsredshiftestimationmethodbasedonpiecewisegaussianfitting
AT fabaoyan quasarsredshiftestimationmethodbasedonpiecewisegaussianfitting