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...
Saved in:
Main Authors: | , , , , |
---|---|
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 |